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Read a special TeamCAD eBook edition covering BIM & Digital Twins recent articles by our BIM associate Mr. Predrag Jovanović. --- Pročitajte specijalni TeamCAD eBook na temu BIM i digitalnih blizanaca našeg specijalnog BIM saradnika Predraga Jovanovića.
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| BUILDING INFORMATION MODELLING (BIM) | DIGITAL TWINS | BIG DATA | VR | AR | 360 | RENDERING |
2020 SPECIAL BIM AND DIGITAL TWINS ISSUE | JANUARY 2021 | PRICE: FREE
DIGITAL TWINS
Application In The Different
Technical Disciplines
CLOUD AND AUTODESK FORGE
Analysis And Visualization Of Data
In Digital Twins Technology
Free electronic
publication
Special Issue,
January 2021
Publisher:
TeamCAD
10v/4 Mihajla Pupina Blvd.
Suite 423
Belgrade,
Serbia
www.TeamCAD.rs
www.BIM-DT.com
Project Director:
Slobodan Lazić
Authors:
Predrag Jovanović
Anđelija Sandić
Vladimir Guteša
Editor and Coordinator:
Marko Kozlica
Cover Page and Design:
Marko Kozlica
Prepress:
Jack Russell
Advertising:
Jack Russell
003
ADVANCED BIM DATA
MANAGEMENT
010
BIM WORKFLOW
AUTOMATION
016
SMALL BUT BIG SAVINGS IN THE
BIM WORKFLOW - EXAMPLES
021
WHAT ARE THE
DIGITAL TWINS?
028
DIGITAL TWINS IN THE
CONSTRUCTION INDUSTRY
035
TEAMCAD
BIM CONSULTANTS
038
DATA MANAGEMENT IN THE
DIGITAL TWIN OF THE BUILDING
068
DATA IS THE NEW GOLD, DOES
THE SAME APPLY TO DATA IN DT?
075
SENSORS AND IOT IN THE
DIGITAL TWIN TECHNOLOGY
082
STORING AND AVAILABILITY OF
DIGITAL TWIN MODEL DATA
089
ANALYSIS AND VISUALIZATION
OF DATA IN DT TECHNOLOGY
096
A DIGITAL TWIN
OF A SHOPPING MALL
098
BIM REAL ESTATE APP FOR
SIMPLIFIED SALES & RENTALS
045
WHAT IS BEP AND WHAT
SHOULD IT CONTAIN?
052
WHAT IS LOD - THE LEVEL OF
DETAIL OF BIM ELEMENTS?
057
THE BIM MODELING
CONVENTION
062
THE BIG SAVINGS BEP BRINGS
TO THE INVESTOR
002 TeamCAD BIM
JAN 2021
Advanced BIM Data
Management
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
WITH THIS TEXT, I WOULD
LIKE TO ANNOUNCE A
SERIES OF ARTICLES
WHERE I AM GOING TO
WRITE ABOUT ADVANCED
BIM DATA MANAGEMENT.
AS BIM IS INCREASINGLY
BEING SET AS THE
DEFAULT STANDARD FOR
PROJECT DESIGN, THE
IMPLEMENTATION OF THE
BIM WORKFLOW IS
BECOMING ESSENTIAL FOR
BOTH DESIGNERS AND
INVESTORS, AND IT ALSO
INCREASES FOR
CONTRACTORS.
How one sees BIM could be very
differently interpreted depending
on the viewing perspective.
Because of that, in the following
text, I process different
interpretations of the BIM
workflow depending on who is
the viewer – designer, investor, or
contractor. In the following
articles, I am going to carry over
my thoughts, conclusions, and
suggestions, based on more than
fifteen years of experience in
implementing BIM workflow as
BIM coordinator and BIM
manager in international design
and consulting company.
BIM Implementation
From The Designer
Perspective
For the designer, BIM is usually
the workflow that helps him draw
a 3D model of its discipline, and
which is going to be coordinated
with other disciplines in the
project. Often, but not as a rule,
the BIM model within a particular
discipline is also used for
different calculations. Thus, for
example, the structure BIM
model is often used for structure
analysis, the MEP model is
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commonly used for various
calculations such as heating and
cooling installations calculations,
while the architectural model is
most often used to design
architecture and check the
coordination of an architectural
project with other disciplines in
the project.
Besides BIM data generated for
the designing needs of the
particular discipline in the
project, the BIM model is often
used for the quantities of the
materials. The quantities of the
materials are not the same as the
bill of quantities, and those two
terms we should not be
confused.
The bill of quantities is the
contractor's obligation, and the
designer could do the quantities
of the materials. It could be
beneficial for the investor in
deciding for the most economical
design solution in case the client
has to choose over a few design
solutions in one project.
We could say, from the designer’s
perspective, that above
mentioned BIM activities imply as
sufficient contribution in
generating BIM data.
Also, we could say that every
discipline in the design process
generates a lot of BIM data,
which could be used for the
design process optimization
within a particular discipline.
What is the problem in the above
mentioned is that BIM workflow
often wrongly represents
generating data and parameters
which designer needs for its
discipline, with no ambition to
share generated data with other
disciplines and project
participants in an arranged way.
In that way, we often have a
problem with too much data and
too many parameters in a BIM
model of a specific discipline,
which most commonly stay in
that particular model of the
discipline. As such, they do not
worth anything for other
disciplines in a project.
The easiest way to illustrate the
BIM model without well-planned
and arranged data exchange
between disciplines is with the
image below, which I am going to
explain with comparing the worth
of load which truck transports.
The truckload could be compared
with data that stay „captured“ in a
BIM model of a specific discipline.
Unfortunately, in the vast
majority of projects, the data
generated in a BIM model of a
certain discipline stays useful
only for that discipline in a
project. The data arranged similar
to the truckload, loses worth
significantly, and substantially
limiting full BIM potential,
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keeping in mind that almost
every project is multidisciplinary
in the investor’s perspective.
Basically, without data exchange
between different disciplines in a
project, we cannot even say that
BIM workflow is applied in full
capacity in a particular project.
It should not be mistaken that
only sharing parameters and data
is enough by itself, because it
may seem very chaotic, like an
example on the following image:
Exchanging the BIM data of a
particular discipline with other
disciplines in a project makes
sense only if the data and
parameters are shared with other
disciplines in an optimized and
arranged way.
I often point out in my
presentations and speeches in
different professional
conferences that I in BIM is the
most crucial thing and that
information in a model of a
certain discipline worth if and
only if it is shared in a right
moment of the design process.
To sum up, the essential
prerequisite for the successful
BIM workflow implementation in
the design process of the
multidisciplinary project are:
• Establishing the efficient BIM
workflow inside a specific
discipline and efficient data flow
within different disciplines in a
multidisciplinary design process;
• Excellent communication in the
whole project team;
• Efficient and arranged data
sharing at the right moment of
the design process.
It is possible to achieve the
prerequisite mentioned above
only with the BIM workflow
automatization, both inside the
discipline in a project and data
sharing in a multidisciplinary
design process. I am going to
write about the BIM workflow
automatization in the few
following articles.
BIM Implementation
From The Investor
Perspective
I often hear opinions that it is
effortless to cover this topic
because each of us finds
ourselves in the role of investor
several dozen times every day.
By definition, when you buy
goods, it is in the interest of the
buyer of the goods or services to
obtain the highest quality
product and to pay as little
money as possible for that
product. There is, however, a
problem with placing investors in
the project in an appropriate
context.
If the investor is not BIM
educated, he will very often be
satisfied with a project printed in
a paper, most commonly A0 and
with the different calculations,
that he would pass to the
contractor to build a building
which is a subject of the
investment.
The not BIM educated investor is
going to be satisfied by delivering
a project in paper format and by
building construction.
The problem is that he will not
even be aware that such a project
format would cost him much
more than a BIM project, and
there are many reasons for this. I
am going to state some of the
reasons:
• Inadequate coordination
between disciplines in a project,
which means more construction
site issues, more construction
delays and very often need for
“additional works” which makes
construction financially difficult
for the investor;
• Impossibility of building’s
lifecycle simulation;
• Impossibility of calculating
facility operational use expenses;
• Impossibility of giving or selling
the digital model to the facility
manager, who is going to use that
building for maintenance
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planning and continual updates
of the completed state of the
building.
All of the lacks mentioned above,
and many more others that I did
not count, the BIM educated
investor would avoid. He would
be aware of the BIM workflow
advantages, and he would
actively participate in BIM
workflow and engage BIM
manager, who would work in its
interest.
I am going to process the topic of
"digital twin" in one of the
following articles individually and
explain in detail the optimal way
of creating and handing over a
digital twin to newly designed
objects. I am also going to explain
the need and value of digitizing
existing buildings, all for that
more efficient management of
the building's operating costs and
the cost of the life cycle of the
building mentioned above.
BIM Implementation
From The Contractor
Perspective
Several drawings of elaboration
of one detail cost the cost of
paper and toner for the printer or
plotter, while on the construction
site, every mistake is very costly,
as it often requires additional
work and additional costs when
constructing the building.
With the document „BIM
Execution Plan“ or abbreviated
BEP, BIM educated investor
would formulate BIM
requirements, both for designers
of different disciplines and for the
contractor, who would hand over
the digital models to the investor
after design and construction
phases. These models would
then be handed over or sold by
the BIM educated investor to the
facility manager to manage the
operational maintenance costs of
the facility as efficiently as
possible.
This type of design process and
the construction completion
results in ownership of a digital
model of the completed state of
the building, which can often be
classified as having a "digital
twin" of a building that is under
construction or of the already
constructed building.
When, as a very young engineer, I
started working at a small
contracting firm, the boss often
criticized my laziness. It was
because before undertaking a
specific operation on a
construction site, I did not draw
that detail and elaborate it in CAD
in many ways and more variants.
I have to be honest that at first, I
didn't even realize the need for it.
I remember his definition vividly
that a drawing serves to make
errors several times in suggesting
a solution until the best option is
reached. His conclusion, which I
now completely agree with, was
that a mistake in a drawing is
much cheaper than a mistake in
the construction site itself.
The story, which I started the
section on BIM implementation
from the contractor’s perspective,
was intended to explain, through
a straightforward example, the
meaning of the most ordinary
drawing of details and the
construction of that part of the
construction site.
I hope you noticed in the
introductory section about BIM
implementation from a
contractor perspective that I
indicated that I elaborated on the
detail in CAD and try to imagine
how much savings can be made
by applying a BIM workflow over
a traditional contracting project
made in two dimensions and
paper format.
If we try to make a comparison
between a CAD project drawing
and a fully coordinated
multidisciplinary BIM model, it
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would be easiest to make such a
comparison by racing motors
through dense forest and racing
along a well-maintained Formula
1 race track, where motor racing
along track with Formula 1 race
track quality is, of course, the
construction of a building using
the BIM workflow.
Here are just a few of the key
benefits that the BIM workflow
provides, without going into a
detailed explanation of each
item, which I am going to do in
one of the following articles:
• 4D – digital simulation of the
construction and simulation of
the construction phases;
• 5D - digital simulation of
building construction, which also
takes into account the cost of
each element in the building. It
allows us not only the making of
the bill of quantities before the
start of construction works but
also an expense summary at any
time during the construction. If
the contractor has more than one
active construction site, in simple
terms, it allows the 5D contractor
to manage the money and supply
of materials in a simulated digital
process of building multiple
facilities, which would
significantly benefit the
contractor during the
construction of the facilities;
• 6D - facility life cycle cost
calculation or facility
maintenance cost management.
By itself, developing a 6D model
is not necessarily the obligation
of the contractor.
Still, it largely depends on the
desire of the investor to whom
they would entrust the creation
of the 6D model.
I must mention that all of the
benefits mentioned above of
implementing a BIM workflow
when building a facility cannot be
implemented without a
previously fully coordinated
multidisciplinary BIM model.
This leads to the logical
conclusion that there should be
an arranged relationship and
trust between the designer and
the contractor in the data they
both generate during the design
process.
Based on professional
experience, I can say that in
many cases, the role of defining
BIM requirements and managing
the generated BIM data between
the designer and the contractor
is taken over by the investor.
The logical reason is that he
finances the design of the project
and the construction of the
building, and therefore an
arranged and efficient data
management during the design
process brings significant savings
to the investor.
In the case where the investor is
also the end-user of the
constructed facility, the arranged
and efficient management of all
the generated data by the
designer and contractor seems
to be the only logical solution
that brings significant savings to
the investor, and in this case to
the owner of the facility during
the design process, construction
process and in managing the
operational cost of maintaining
the facility.
Having defined, and thus
rounded up, data management
and relationships between the
designer, contractor, and
investor in the domain of the BIM
workflow and advanced BIM data
management, I would like to
finish this first article and
announce more of them in which
I am going to go deeper and in
more detail in the topics I started
with this one. In the following
articles, I am going to cover the
topic of "BIM Project Process
Automation".
There, I am going to discuss
efficient data generation
workflows, the role of Dynamo /
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Python scripts in more efficient
data exchange within the BIM
model of a specific discipline, and
optimized data exchange
between BIM discipline models in
a multidisciplinary project
environment.
If you have any questions,
comments or want to know more
about the topic I covered in
Advanced BIM Data
Management, please contact
TeamCAD, who would be happy
to provide you with additional
information.
Until next time,
Predrag Jovanović
BIM manager Arup
Predrag Jovanović – short biography
Predrag Jovanović is a civil engineer with over sixteen years of
experience in BIM technologies and over 2,500,000 square
meters of BIM modeling and multidisciplinary coordination.
Predrag has much experience in BIM coordination and BIM
management, which he gained while working at the
international company "Arup" in the position of "Project BIM
Coordinator".
In addition to designing, managing data, and BIM
coordination on multidisciplinary projects, Predrag has been
organizing and managing various BIM workshops for more
than ten years, in which knowledge and experience in
applying the latest BIM technologies and problems in
implementing them are exchanged between employees. He is
characterized by great enthusiasm for ongoing professional
development, improving, and learning of the latest BIM
technologies. He focuses on finding new and better ways to
work, more efficient automation, and improving the BIM
workflow.
forum.TeamCAD.rs
Predrag is a BIM champion for the Arup Germany group. In
addition to designing and BIM coordination, Predrag currently
organizes and manages Skype Dynamo / Python workshops
for the European region and BIM multidisciplinary workshops
for Arup Germany. He has extensive experience in Revit
Structure, Revit Architecture, Navisworks, Solibri, Reizto, Revit
/ Sofistik / GSA interoperability, data management (Dynamo,
Revit / Excel link). He also has extensive experience in various
project environments such as BIM 360, Aconex, BIMcloud, etc.
BIM | DIGITAL TWINS | BIG DATA |
VR | AR | 360 | RENDERING
008 TeamCAD BIM
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BIM Workflow
Automation
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
WE WILL CONTINUE TO
COVER INTERESTING
TOPICS RELATED TO THE
BIM WORKFLOW.
AS ANNOUNCED IN MY
PREVIOUS ARTICLE,
“ADVANCED BIM DATA
MANAGEMENT“, I WILL BE
COVERING THE
AUTOMATION OF BIM
WORKFLOW IN THIS
ARTICLE.
IT IS LOGICAL THAT,
BEFORE WE GO DEEPER
INTO THE ANALYSIS OF
THE BIM WORKFLOW
AUTOMATION, WE FIRST
DEFINE WHAT BIM MEANS
PRECISELY AND WHAT THE
TERM AUTOMATION
MEANS, AND THEN
CONSIDER LATER WHAT
WE REALLY WANT TO
AUTOMATE.
In my opinion, the best definition
of the BIM workflow is the one
saying: “BIM workflow is a
methodology that relies on an
intelligent, data-rich 3D model, as
a basis for designing, simulating
and collaborating between
designer, contractor, and investor
through the various phases of
project process “.
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Automation can be defined as
“product making technique,
process or system that works
automatically “or as “creating and
implementing technology and
workflow that oversees or
controls the production of
products and services and their
delivery “(definition is translated
from “International Society for
Automation “– ISA).
After defining what a BIM
workflow is and what automation
is, we are facing an issue of
defining the relation between
BIM workflow and automation.
The questions such as – is not the
BIM workflow itself a design
process automation? Is
automation a tool for improving
BIM workflow? How can process
automation in the BIM workflow
itself add value to the BIM
workflow and bring savings to
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project participants? are
imposed.
If you have read the questions
carefully and then thought
through them, you will admit that
it is not so easy to give a short
and simple answer to any of the
questions asked. Therefore, I am
going to elaborate on each of the
questions raised below and
provide a detailed answer to each
one.
Is the BIM Workflow
Itself A Design
Process
Automation?
If you go back to the introductory
section of this article and read
the BIM workflow definition, I
think you could agree with me
that the BIM workflow does not
mean automation of the project
process by itself.
We can say that BIM automates
the project process only partially.
Still, we cannot consider it as a
tool for the full automation of
generating and exchanging data
in the BIM workflow itself. Here is
an explanation for such a claim:
We already know that every BIM
model of discipline, within the
BIM multidisciplinary project,
generates a large amount of data
during the project process.
To give a more precise answer to
the question - is the BIM
workflow itself a design process
automation, in my opinion, it is
necessary to roughly classify the
generated data in the BIM model
of discipline into data related to
the BIM model geometry, data
related for analytics and different
calculations in the BIM discipline
model and the data generated to
exchange between various
disciplines in the project to
optimize the multidisciplinary
BIM workflow. Then it is
necessary to consider how they
are generated and what they are
worth in terms of automating a
multidisciplinary BIM workflow:
Data related to the geometry of
the BIM discipline model:
• Generated partially automated
during the modeling of the BIM
discipline model;
• Have value mainly related to
multidisciplinary coordination
between BIM models of different
disciplines;
Data related to materials,
analytics, and various calculations
in the BIM discipline model:
• Not automatically generated;
• To be of value within the
discipline, it is generally
necessary to manually add data;
Data generated for the exchange
between different disciplines to
optimize the multidisciplinary
BIM workflow:
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• Generally not automatically
generated;
• To have value in the data
exchange in a multidisciplinary
project process, it is generally
necessary to manually add data.
After analyzing the generated
data during the BIM workflow,
classified according to how they
were generated and their value, it
is clear that there is plenty of
room for improvement of the
BIM workflow.
Is it possible to achieve this by
using different digital tools to
optimize and automate the BIM
workflow?
Is Automation A Tool
For Improving BIM
Workflow?
The answer to this question is
significantly more straightforward
compared to the previous one,
and it does not require an
extensive explanation.
Automation of the BIM workflow
with different digital tools has
become necessary and, as such,
brings many benefits and savings
to all participants in the project.
During the BIM workflow,
considerable savings are
achieved through the use of
various digital tools that
automate non-standard
parametric modeling, generation
of additional BIM data,
processing and manipulation of
generated BIM data, automated
and regulated exchange of BIM
data between different
disciplines.
However, by definition, the
automation of the BIM workflow
benefits the most for the
investor, because by
implementing the automation of
the BIM workflow, the investor
receives much more data for the
same number of hours spent by
the designer and contractor. The
data generated in this way is also
very accurate since manual and
human error are minimized when
the BIM workflow is automated.
To better understand how the
automation of the BIM workflow
can be helpful, we must first
identify which digital tools are
most commonly used in the BIM
workflow automation process
and the BIM workflow
optimization process in general:
• Dynamo is a digital tool used for
non-standard parametric
modeling, generating additional
and non-standard data for more
efficient calculations within the
BIM discipline model; to process,
manipulate and facilitate the
visualization of the generated
data in the BIM model and the
arranged data exchange between
different disciplines in a
multidisciplinary BIM workflow.
Dynamo is a programming
language and is based on the
principle of visual programming.
The reason that makes it a
favorite digital tool for
automating the BIM project
process is that it is integrated
with the Revit platform and does
not require any additional
procurement costs. It is easy to
learn and does not require
extensive programming
experience. The massive
advantage of including Dynamo
as a digital tool to automate the
BIM project process is that once
written Dynamo script, which
automates a specific logical part
of the BIM workflow, can be used
on an unlimited number of
projects. This, with a
well-designed Dynamo script
applicable to multiple projects,
gives tremendous value and
brings great savings to project
participants.
• Python is an object-oriented
programming language most
commonly used to generate,
transfer, and process data in the
BIM workflow. Python helps as
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effectively as Revit plugin
(PyRevit) or as part of Dynamo
scripts integrated into Dynamo
“Node”.
What characterizes Python is that
it is also a favorite tool in data
science, system automation, API
development, etc. Otherwise, the
first book written to learn
developers on using the Python
programming language is called
“Automate the Boring Stuff.” This
fact simplifies any further
explanation of why Python serves
the domain of BIM workflow
automation, both for operations
in the BIM discipline model and in
a multidisciplinary BIM project
environment.
• The Revit / Excel link is a digital
tool for automating data entry
into the BIM model, as well as for
data processing, different
calculations, and data
visualization of the BIM model
discipline or multidisciplinary BIM
model. The Revit / Excel link can
also be used for an arranged
exchange of data between
different disciplines in a
multidisciplinary BIM workflow.
trying to find the best digital tools
for BIM workflow automation and
optimization.
How Can Process
Automation In The
BIM Workflow Itself
Add Value To The
BIM Workflow And
Bring Savings To
Project Participants?
Process automation in the BIM
workflow itself can bring
significant savings to all
participants, provided that the
regulated data exchange is
predefined in the BIM Execution
Plan (BEP) itself. Discipline
designers and contractors in a
multidisciplinary project then
only have to follow the BIM
requirements, most often set by
the investor.
As I mentioned earlier, besides
the time savings during the BIM
workflow, automation brings
entering specific values into the
BIM model parameters, as well as
in the larger amount of digital
data in the BIM disciplines
generated without the extra
hours spent on manual data
entry.
Before I continue about how
process automation in the BIM
workflow itself can add value to
the project process and bring
savings to project participants, I
need to remember my
colleague’s discussions during
one BIM forum, where he
explained the best way to
excellent optimization and
savings in the BIM workflow.
Namely, he metaphorically
introduced me with the
automation of the BIM workflow
as a long-lasting war, in which to
win, one must win many small
battles. Dynamo and Python
scripts can be taken similarly, as
well as the Revit / Excel link.
It is simply not possible to write a
very complex script and expect it
The digital tools mentioned
above are the most powerful
tools for automating the BIM
workflow. Of course, there are
many more digital tools that are
very useful for successfully
implementing the automation of
the BIM workflow.
However, the goal of the text is
not to present all possible tools
for successful implementation of
BIM workflow automation, but to
give you an idea of what direction
you should be considering when
additional value to the project
itself by minimizing the possibility
of human error when manually
to automatically automate the
complete BIM workflow with the
click of a button.
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But with multiple smaller
Dynamo and Python scripts, as
well as Excel files linked to the
Revit model, which automate
logical entities in the BIM
workflow, it is possible to
optimize the BIM workflow and
reduce the sheer amount of
manual work. Then it is possible
to embed the formulas in
Dynamo and Python scripts and
an Excel file linked to the Revit
model and obtain results from
them that will help us in the
further BIM workflow. Last but
not least, with the help of
Dynamo and Python scripts, as
well as Excel file, it is possible to
link data both for the exchange
between disciplines and for
linking additional data related to
elements in the BIM discipline
model, which can be of great help
with the BIM model for
calculating facility maintenance
operating costs.
I have attended many
presentations where the
spectacular capabilities of specific
digital tools have been
announced. Still, since I have not
seen them with my own eyes or
seen them working in a real
project environment, I have not
been wholly convinced of the
capabilities that were presented
at the presentation. Since this
text can also be seen as a kind of
presentation, I would not leave
readers disappointed.
Therefore, I give you a link to
examples of the successful
implementation of automation
tools in the BIM project layout:
http://bit.ly/3qcwUy6
In the following text, “Small but
Big Savings in the BIM Workflow”,
I am going to give you many
more examples of successful
automation of the BIM workflow
with Dynamo / Python / Excel.
And it is hopefully going to give
you an idea of how you can
automate BIM workflow on your
next project by yourself.
With this said, I would like to
finish the article on the
automation of the BIM workflow.
If you have any questions,
comments or want to know more
about the topic I covered in the
article “BIM Workflow
Automation”, please contact
TeamCAD, who will be happy to
provide you with additional
information.
Until next time,
Predrag Jovanović
Representing
BIM Software -
Autodesk Revit
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Small But Big Savings in The
BIM Workflow - Examples
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
WE CONTINUE TO COVER
INTERESTING TOPICS
RELATED TO THE BIM
WORKFLOW. AS I
ANNOUNCED IN THE
PREVIOUS ARTICLE "BIM
WORKFLOW
AUTOMATION", IN THIS
ARTICLE, I AM GOING TO
ADDRESS THE SAVINGS
THAT CAN BE MADE BY
OPTIMIZING THE BIM
WORKFLOW.
IF YOU HAVE READ MY
PREVIOUS ARTICLE, AT THE
VERY END, I MENTIONED
THAT I HAD ATTENDED
MANY PRESENTATIONS
ANNOUNCING THE
SPECTACULAR
CAPABILITIES OF SPECIFIC
DIGITAL TOOLS. SINCE I
HAVE NOT SEEN THEM
WITH MY OWN EYES NOR
SEEN THEM WORKING IN A
REAL PROJECT
ENVIRONMENT, THAT IS
WHY I WAS NOT WHOLLY
CONVINCED OF THE
OPPORTUNITIES THAT
WERE PRESENTED AT THE
PRESENTATION. IN THIS
ARTICLE, I WILL DO MY
BEST TO IMPROVE THE
IMPRESSION AND TO GIVE
SOLUTIONS TO CONCRETE
PROBLEMS THAT OCCUR IN
MANY REAL PROJECTS IN A
MULTIDISCIPLINARY BIM
WORK ENVIRONMENT.
I will start with the most
straightforward cases, where it is
necessary to accelerate the
generation of the BIM discipline
model geometry. I am going to
deal with the situations where it
is required to generate data
effectively in the BIM discipline
model to optimize the design
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JAN 2021
process of the same discipline.
Finally, I am going to elaborate on
the establishment of an efficient
BIM workflow, which would give
data "captured" in BIM discipline
models (which I wrote about in
the introductory article
"Advanced BIM Data
Management" ) value through the
exchange of data between BIM
models of different disciplines.
Optimization Of
Generating BIM
Discipline Model
Geometry
Example 1
In projects, it is prevalent that
you need to arrange certain BIM
elements along a specific
direction at equal distances. The
elements could be columns, piles,
lights, diffusers, etc., and
practically all of the elements
whose coordinates are defined
with a particular point or vertical
line.
The simplest scenario is when
let’s say, we have a straight line of
a certain length, along which it is
necessary to arrange certain
elements - we will use "Array"
and, in a straightforward way,
allocate certain BIM elements to
the desired positions.
However, if a line of a given
length is crooked or changes
direction several times, then we
are talking about the
arrangement of elements along
the “spline”. Such a request can
give us a lot of headaches and
problems, take a lot of BIM
modeling time, and it will always
be questionable whether we have
arranged the elements according
to the given criterion with
sufficient precision.
Notably, Dynamo script can help
us with this. It will very quickly,
efficiently, and, most importantly,
in a perfectly precise manner,
distribute a certain number of
BIM elements along an irregular
finite-length line.
Please watch the video:
Example 2
In each project, there is a
problem of coordinating
openings between different BIM
discipline models. It is typical for
the BIM model of construction
and MEP (mechanical, electrical,
and plumbing) installations to
follow the given openings that
are generated in the BIM model
of architecture. Take, for
example, the need to coordinate
door openings between the BIM
architecture model and the BIM
structure model.
In this example, take the
assumption that it is necessary to
coordinate and model 168 door
openings in the BIM construction
model (a very realistic
assumption for a 20-story
building project), previously
generated in the BIM model of
architecture.
It would take in classic BIM
workflows between half an hour
and one hour to model openings
in a BIM construction model. The
issue of coordination between
the BIM model of structure and
the BIM model of architecture
with the standard BIM workflow,
i.e., classical modeling, would be
highly questionable because of
the possibility of human error in
the process of BIM modeling.
A Dynamo script, which by
clicking a button copies the type
of opening selected by the BIM
operator (doors, windows,
generic openings) from the linked
BIM architecture model to the
BIM construction model, can also
help us with this.
Please watch the video:
Example 3
When designing buildings, most
often, the architect first
generates a BIM model. Except
for the beams and foundations,
the finished BIM architecture
model contains almost all the
essential elements needed by the
structural engineer to begin
modeling the BIM structural model.
The process of modeling a
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"preliminary" BIM structural
model usually consists of the fact
that the BIM structural modeler
models elements of identical
physical characteristics and that
the BIM structural elements are
modeled at the same place as in
the BIM architecture model.
This scenario is very reminiscent
of Example 2, where I showed
that by clicking „Run“ in Dynamo
scripts, it is possible to copy
elements from a linked BIM
architecture model to a BIM
construction model.
So why not do the same with
columns, walls, and slabs and get
a "preliminary" BIM construction
model in a very fast and efficient
way?
Assuming that you like the idea of
copying columns, walls, and slabs
from a BIM architecture model to
a BIM construction model, the
problem remains in "translating"
BIM architectural elements into
BIM structural elements.
This can be helped, you can
guess, by Dynamo, which
translates the columns, walls, and
slabs from the „Architectural“
category into the „Structural“
category.
Of course, it is further possible to
adapt the generated constituent
elements in the BIM construction
model to the families loaded into
the BIM construction model
template.
Only two Dynamo scripts are
required for such a thing.
Please watch the video:
If you want to optimize the design
process further and get from the
BIM structural model to the
structural model to perform a
preliminary static structural
stability check, you need to
model the foundations and
beams, and your BIM structural
model is ready for a preliminary
static analysis.
Of course, the process itself from
exporting the BIM construction
model to generating the FEM
model can be optimized, and
Dynamo and Python can
significantly assist you in this. It is
also possible with Dynamo and
Python to return data from an
analytical model to a BIM
structural model to visualize data
obtained in a static analysis, to
generate reinforcement for
concrete construction projects,
and much more.
Here I have to limit myself to the
examples for BIM modeling
automation since it is not my
intention to present you a
complete workflow related to
optimization and automation of
model generation of a particular
discipline in a project, but to give
you an idea what are the
capabilities of Dynamo and
Python, as the main tools in
automating BIM modeling in the
BIM workflow.
Effective Data
Generation In The
BIM Discipline
Model
Example 4
Generation of surface and line
loads from the drawings of
loading diagrams - it is very
debatable where exactly this
example belongs. Namely, static
loads in the construction model
do not fall within geometry, and
on the other hand, it is
impossible to classify them as
real data either.
But, as they are far closer to the
data, here I am going to address
the automation of load input in
the BIM construction model.
If you want to input loads into the
BIM construction model, which
often requires a lot of manual
work, and which can further
result in a BIM model with input
loads whose accuracy and
precision are questionable, a
possible solution may be to take
load values from load diagrams
in the BIM construction model
and generate surface and line
loads directly from load
diagrams. Depending on the
project complexity, only inputting
the load into the BIM
construction model can take up
to several hours, while using the
Dynamo script, after completing
load diagrams and reading the
load values from the diagrams
with Dynamo, you can generate
surface and line loads literally for
a few seconds.
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Please watch the video:
Example 5
In this example, I am going to try
to show you how quickly you can
generate information about the
distance of two groups of BIM
elements.
You can understand this example
as a functional check of the BIM
model of architecture and other
disciplines, in this particular case,
a useful check between an
architecture project and an
electrical installation project.
In this example, the idea is to
check if it is possible to plug a
laptop into a socket from any
chair in a particular room. Let's
say that we have the classroom
and that the project requirement
is that every student, during
class, can plug their laptop into a
socket. The length of the cable
that charges the laptop is three
meters.
I have no idea how long it would
take if the process were done
manually. Depending on the size
of the room, a functional check
would probably take more than
an hour.
Again, the problem of data
accuracy arises if a BIM modeler
measures the distance of each
chair to each socket. Fortunately,
for such a thing, you can find help
in applying a Dynamo script that
will, instead of a modeler,
measure the distance of each
chair from each socket and paint
all the chairs more than three
meters away from all the sockets
in red, which means that it is not
possible to plug the laptop cable
into no single socket.
Please watch the video:
Example 6
Another excellent example of
how we can fully automate data
generation, but also processing
them further through different
calculations and visualization of
the data obtained, I can give you
an example of room occupant
load calculations.
Namely, using the Dynamo script,
it is possible to collect data on the
room's area and then calculate
the room occupant load using the
room occupant load factor.
Actually, this avoids any manual
work that was traditionally done
in Excel since the value of the
room occupant load is
automatically changed every time
the room area changes with the
change in the room geometry in
the BIM architecture model.
Please watch the video:
Data Exchange
Between BIM
Models Of Different
Disciplines
I want to start this part of the
article with a brief introduction
about the relationship between
BIM generated data and their use
by other disciplines, participants
in a multidisciplinary project in
the BIM environment.
I hope that every BIM
architecture model you have
encountered so far in the BIM
project environment contains
data for each room. In the
architectural category "Room",
the architect typically input data
related to the purpose of the
room, and then the BIM software
automatically generates
information about the area and
volume of the room. Indeed, the
purpose of the room also affects
the expected load, which will be
used by the structural engineer in
his analysis.
I hope that you come to the idea
that such data should be used
and somehow downloaded into
the BIM construction model, or
BIM model of mechanical,
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electrical, or plumbing
installations and speed up the
process of data generation for
these disciplines. Also, remember
that importing data instead of
manually entering data minimizes
the possibility of human error.
I hope that by reading the
introductory part of the data
exchange between BIM models of
different disciplines, you have
come to realize that such an
exchange is indeed possible by
clicking on the “Run” button of a
specific Dynamo script. So let's
start with the examples.
Example 7
Take, for instance, the necessary
exchange of data related to a
room in the BIM architecture
model - "Room" and a room in
the BIM mechanical installations
model - "Space".
Using the Dynamo script, it is
possible to transfer data from the
Room to the Space in a
straightforward way.
Please watch the video:
Example 8
It is also possible to use data
from the architectural category
"Room" related to the room
purpose and then generate
surface loads using them. Please
see an example:
With this example, I would finish
the article on the BIM workflow
automation and give some
conclusions.
I hope that by reading the article
"Small But Big Savings in The BIM
Workflow" and looking at the
examples, you have seen the
potential of the BIM workflow
automation tool, and how much
time can be saved by automating
BIM modeling, generating data
for a BIM model of your own
discipline, and what is the
potential of automated and
arranged data exchange between
different disciplines in the BIM
workflow.
Always keep in mind that by
using the BIM workflow
automation tool, you minimize
the potential for human error
when generating or entering
incorrect data.
The purpose of automation by
using its tools is to relieve the
people from the tedious, manual
tasks of the BIM workflow, and to
enable spending the time spent
in manual work on tasks that
require creative, intelligent,
human-only solutions that
automation tools could not reach.
If you look at the possibilities of
BIM workflow automation and
that once written script can be
applied to an unlimited number
of projects, it practically means
that any script or other BIM
workflow automation tool will pay
you off through subsequent
projects.
Always keep in mind that the
limits of your imagination are the
only limiting factor in the ideas of
how to optimize and automate
BIM modeling since, in the tools
related to the automation and
optimization of the BIM workflow,
there are practically no
limitations.
If you have any questions,
comments, or want to know more
about the topic I covered in the
article "Small, But Big Savings in
The BIM Workflow", please
contact TeamCAD, who will be
happy to provide you with
additional information.
Also, if you want to automate the
BIM workflow on your projects
and you are not sure which way
to do it or what tools are best for
something like that, TeamCAD
will be happy to help you.
I thank you for reading "Small,
But Big Savings in The BIM
Workflow", and I am announcing
my next article "What are Digital
Twins".
Respectfully,
Predrag Jovanović
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What Are
The Digital Twins?
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
CONTINUING WITH
INTERESTING TOPICS
RELATED TO THE BIM
WORKFLOW IN THIS
ARTICLE, I AM GOING TO
COVER A VERY
INTERESTING TOPIC
ABOUT DIGITAL TWINS.
LET'S START BY DEFINING
WHAT THE DIGITAL TWINS
ARE. THERE ARE MANY
DIFFERENT
INTERPRETATIONS OF
WHAT A DIGITAL TWIN IS,
DEPENDING ON THE POINT
OF VIEW.
THE SITUATION WITH
DIGITAL TWINS IS VERY
SIMILAR, TO DIFFERENT
VIEWS OF THE BIM MODEL
WHICH I DESCRIBED IN
PREVIOUS ARTICLES,
WHERE SEEING A DIGITAL
TWIN DEPENDS HEAVILY
ON WHETHER IT IS VIEWED
FROM A DESIGNER,
CONTRACTOR, OR
INVESTOR POINT OF VIEW.
TO MAKE THINGS MORE
INTERESTING, WITH
DIGITAL TWINS WE OFTEN
HAVE A CASE WHERE
"DESIGNER, CONTRACTOR
AND INVESTOR" ARE
COMBINED INTO ONE
VIEW OF THE DIGITAL TWIN
MODEL, FOR EXAMPLE
WORKING WITH
MANUFACTURERS IN THE
AUTOMOTIVE AND
AVIATION INDUSTRIES,
THEN IN SHIPBUILDING, IN
THE PRODUCTION OF
MECHANICAL SYSTEMS,
PROCESS LINES, ETC.
The most common definition of a
digital twin is that it is "a digital
replica of physical data,
processes, systems and digital
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simulation of reality, which can
be used for various purposes."
After defining the term digital
twin, many BIM specialists will
recognize that the BIM model can
easily be placed in the context of
the digital twin, which is not so
far from the truth.
In chronological terms, the BIM
model can be seen as the very
beginning of digital twin
generation, i.e., as his starting
point.
If you go back to the definition of
a digital twin, the BIM model can
be conditionally viewed as a
digital replica of real data.
However, the BIM model cannot
adequately meet the
requirements of the digital twin
model, which can be a simulation
of the life cycle of a building,
different types of industrial
process simulation, simulation of
building behavior during a fire,
evacuation of people during a
fire, simulation of crash tests in
the automotive industry, particle
motion and their behavior during
movement, etc.
It is important to note a few other
things related to the digital twin.
The digital twin represents one of
the pillars of the fourth industrial
revolution, and the potential and
savings of such an approach are
increasingly evident.
Digital twins can be classified in
many ways depending on the
person’s point of view.
I think the best way to classify
digital twins is to digital twin
objects that are under fabrication
or construction and to objects
that are already made or built.
Still, we need additional
information about those objects.
What we will not be able to avoid
in this article as topics closely
related to digital twins are the
digital tools of simulation, the
involvement of machine learning,
and artificial intelligence.
Digital Twins Of
Objects Being
Fabricated Or
Constructed
With this type of digital twin, we
typically mean objects that are
subject to future fabrication or
construction. In this digital twin
generation workflow, we first
mean creating a BIM model,
which is almost always an object
or part of it being design.
By object or part of a designed
object, I mean objects such as
buildings or parts thereof, cars or
parts thereof, production line or
parts of a production line,
dynamic objects, simulation of
the destruction of a building
(progressive collapse), etc.
All of the above objects or parts
of objects that are subject to
future fabrication or construction,
if you have noticed, are
characterized by the fact that
from a BIM point of view they can
be considered as fully static BIM
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Let’s compare what information
the rotary dial phone contained
about its owner versus the
smartphone.
models and cannot be attributed
to the dynamic properties that
underlie any simulation process.
This further leads us to the
conclusion that the critical
difference between the BIM
model and the object's digital
twin, which is the object of
fabrication or construction, is the
ability to simulate with different
digital tools the influences from
the real environment, that is, to
apply different dynamic
influences to the BIM model.
Practically, digital tools that
enable different simulations
modify the BIM model into a
digital twin model.
Digital Twins of
Objects That Are
Made or Built
With this type of digital twin, we
typically mean objects that are
already made or built.
At the very beginning, I face the
question of the skeptic in himself,
who asks me the question: “And
why would you create a digital
model or digital twin for anything
that is already made or built?
Apart from the additional cost,
which cannot be considered as
any benefit, what economic
benefit can one expect from such
a model? The digital realist in me
has a ready answer, which will
hopefully easily disarm the
skeptic in me through a
straightforward example from
everyday life.
I belong to a generation that used
rotary dial phones daily in
childhood.
Later, of course, I used cordless
home phones, and here I am in
the modern era in which I happily
use all the benefits of human
achievement, and therefore
"smartphones".
Apart from the phone number, to
which you could call not me but
my family, there was virtually no
information regarding the phone
owner. With the advent of
smartphones, a wealth of
information about the phone
owner and the number assigned
to the owner is available.
Free international communication
is possible via the telephone
number and specific applications.
The information about himself
that the smartphone user wants
to share is accessible to
everyone.
It's important to note that the
first iPhone came out in
mid-2007. From a smartphone
user perspective of just twelve
years, we can't imagine going
back to the old handsets with the
rotary dial, since the capabilities
between it and the smartphone
are merely hard to compare -
both devices are phones, but they
do not necessarily belong to the
same device category.
In a very similar way, we can look
at an already made or built object
that has its own digital twin and
an object that does not have its
own digital twin. Namely, even
though the object already exists,
we really know little about it since
the made or constructed object
contains very little data in itself.
The skeptic in me wonders if it is
necessary that now, even though
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we have new and very effective
digital tools to digitize existing
objects, we need the facilities we
have already built to be digitized?
Quite simply, why do we need it,
and what will the digital twin of
the made and built object serve
us in the first place?
Take the existing building as an
example and imagine the
situation when walking through a
building to ask the building
owner or facility manager what
are the properties of a wall -
what is its thickness, what
material is it made of, what is the
brand of the concrete wall, is it
bearing wall, whether it has a
finish and of which thickness,
from which material the finish is
made, is the load-bearing
capacity of the wall such that we
can hang brackets for pipes of a
certain weight, which is the fire
resistance of the wall, whether
we can make a hole in the wall to
accommodate the damper and
"pull-in" the cooling or heating
duct when planning a wall
painting, what is the wall area in
order to calculate the cost of wall
painting, etc.
I am convinced that it would take
a few days for the building owner
or facility manager to answer the
above questions if we assume
that he did not have a digital twin
model of the building.
Simply, the owner of the building
or the facility manager would
have to go through a pile of
paper to get the information I
needed, he would have to contact
the archive for some information,
and I am sure he would not be
able to find some information.
However, if the building owner or
the facility manager had a digital
twin building model, I am
confident that for some
questions, I would get answers
within minutes, and for slightly
more complex questions, such as
wall openings and wall-mounted
pipe holders I believe I would get
the answer in a few hours.
I think that you have, through a
straightforward example of an
ordinary wall, seen the potential
of a digital twin of an existing
facility, which, for example, can
save you significant financial
resources by optimizing the cost
of maintaining the facility, finding
the best option for renovating,
upgrading and adapting
industrial facilities to a different
purpose and finally when
calculating the operating costs
and life cycle of the facility.
Try to imagine how much savings
you can make when maintaining
mechanical and electrical
installations, production lines in
factories, maintaining fire
installations, etc.
I am going to write much more
about digital twins of objects that
have already been made or built
in the following article: "Digital
Twins in The Construction
Industry," since my wish for this
article is to stay focused on the
concept of the digital twin in the
broad sense. So let's move on to
a topic that combines the need
for making a digital twin in both
objects that are subject to
fabrication or construction and in
objects that are made or built.
Digital Simulation
Tools for Digital
Twins
When talking about digital
simulation tools for the digital
twin, keep in mind that we are
entering the rainforest, and it is
very difficult to capture all the
tools available. Therefore, I am
going to list just a few of the most
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the deficiencies to give the
building user adequate comfort.
Machine learning
A digital tool that is defined as a
sub-area of artificial intelligence.
important digital simulation tools
for digital twins and write a few
sentences about each tool:
CFD (Computational fluid
dynamics)
This is a calculation of fluid
dynamics and is part of fluid
mechanics, which uses numerical
analysis and structured data to
solve problems related to fluid
and gaseous fluid behavior. CFD
analysis has an extensive
application including forces and
moments on various digital
models, pressure in tubes caused
by liquid and gaseous substances
contained in the tubes, explosion
analysis, simulation of motion
and flow of different types of
particles, temperature action,
simulation of weather, the
behavior of digital models in an
air tunnel, etc.
Dynamo and Python
Digital tools that are detailed in
the article "BIM Workflow
Automation". Here, I would like to
avoid a more detailed description
of Dynamo and Python as digital
tools that, in addition to
automating the BIM workflow,
are also widely used in data
processing for digital twin
models.
If you would like more
information about Dynamo and
Python, please select this link.
Sensors
For made or built objects,
different types of sensors are
used to measure the values
needed to optimize pre-existing
elements within an existing
object. For example, sensors can
measure the number of people in
a particular room. Then the data
obtained can be compared with
the data assumed by the
architect during project design. If
the number of people in a given
room is consistently higher than
the projected number, the
building owner can optimize the
machine's system of fresh air
injection.
Similar is possible with measuring
the brightness of rooms. By
comparing the data thus
obtained, if an error is detected,
the building owner can correct
Machine learning is a process
where a machine is learning
things based on the experience
and imitation of human actions in
certain repetitive circumstances.
In simple terms, machine
learning is based on observing
the actions a person performs
when encountering a specific
typical problem.
After several repetitions, the
program that "monitors the
human" learns and adopts the
algorithm of human behavior and
assumes the execution of the
same operation that he learned
"monitoring the human".
Given that artificial intelligence is
not yet able to make very
complex decisions and look at
the problems that occur with
data generated by different
simulations. I think that we
cannot yet speak of the massive
and default use of artificial
intelligence as a digital tool to
simulate the process in a digital
twin.
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The Savings That
Digital Twins Bring
• By applying BIM workflow and
digital tools used in various
simulations on the digital twin
model, and with proper BIM
management of the complete
BIM project process, there are
between 5% and 15% more
problems in the early stages of
the project process, that is, long
before the contracting project
and the construction of the
facility itself, which brings
significant savings to the investor
financially;
• The use of different sensors in
buildings, which generate data
through data processing
platforms, helps to automate the
equipment in the facility more
easily and efficiently, which
improves the energy efficiency of
the building and at the same time
improves the comfort of the
building occupants;
• By analyzing the data collected
through sensors in already
fabricated and constructed
objects and incorporating such
data in the design process of
future objects, the investor
makes significant savings in the
speed of fabrication or
construction of the object, in the
selection and installation of
equipment, which, as a
consequence, brings significant
financial savings to the investor;
different sensors into existing
objects and processing the data
obtained from them, the investor
receives "collective knowledge
and experience" classified by
object type, which in future
projects of objects classified by
type and purpose, brings
significant financial savings at all
stages of the project, then during
the construction of the facility
and in the life cycle of the facility
itself;
• Given that it is difficult to expect
a price drop of urban
construction land and site fitting,
the only segment where an
investor of building construction
can make savings is to optimize
the implementation of the BIM
workflow and to produce digital
twins, in which the digital
performance of the simulation
tools will permanently improve
the performance of the building
in all stages of project design,
during and after construction.
This would end the article on
digital twins and my view of how
they can help in many areas
through cost optimization and
better functionality, both for
objects that are not fabricated or
built, and for objects that are
fabricated or built.
I would also like to take this
opportunity to announce my next
article "Digital Twins in The
Construction Industry", in which I
hope to bring you even closer to
the concept of digital twins and to
indicate the need for you to think
about the need to design a digital
twin of your object.
If you have any questions,
comments, or want to know more
details about the topic I covered
in "What Are The Digital Twins",
please contact TeamCAD, who
will be happy to provide
additional information.
Also, if you need any help in
designing the process of how to
get a digital twin model, or you
need to create a digital twin
model yourself, TeamCAD will be
happy to support you.
Until the next article,
Predrag Jovanović
• By developing and permanently
implementing a digital strategy,
which involves developing digital
twin models, incorporating
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TeamCAD BIM MAGAZINE 027
Digital Twins In The
Construction Industry
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN THIS ARTICLE, I AM
GOING TO COVER AN
EXCITING TOPIC ABOUT
DIGITAL TWINS IN THE
CONSTRUCTION
INDUSTRY.
FOR THE BEGINNING OF
THE TEXT, ONE
INTERESTING QUESTION -
DO YOU KNOW WHEN AND
HOW DIGITAL TWINNING
TECHNOLOGY WAS
DEVELOPED? I THINK THE
ANSWER WILL AMUSE YOU
- THE TECHNOLOGY OF
CREATING A DIGITAL TWIN
MODEL, IN THE FORMAT
WE KNOW TODAY, WHICH
IS AN EXISTING OR
DESIGNED OBJECT AND AN
IDENTICAL COPY OF THE
OBJECT IN DIGITAL
FORMAT, WAS CREATED IN
2002 AND WAS FIRST USED
IN ASTRONOMY BY NASA
FOR THE PRODUCTION OR
PROCUREMENT OF
VARIOUS COMPONENTS
AND SYSTEMS FROM
DIFFERENT SUPPLIERS.
Digital twin models have been
used primarily to calculate the life
cycle of components, systems,
and various assemblies and
structures after installation,
production, and construction.
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Primarily, digital twins were used
to estimate the cost of maintaining
different components,
systems, circuits, and buildings by
making various simulations of
phenomena and processes that
would occur on existing objects
using their digital format replicas.
I assume that you have concluded
that by accessing a digital
replica of an existing building,
component or system and
simulating the various real-world
impacts on them we come to the
information on all aspects and
causes of the life cycle costs of a
particular object, component, or
systems in a real environment
and in the real-world impacts of
different phenomena that interact
with an building, component,
or system in a much cheaper
way.
the meaning of digital twin
models, I want to focus on the
very topic of this article, which is
the purpose of digital twin
models in the construction
industry.
For a start, we must bear in mind
that we have more participants in
the building construction, namely
the designer, contractor, and
investor. Depending on the role
in the project process, I am sure
that you have in mind that their
interests may not be identical
when it comes to designing a
digital twin. The interests of the
designer and contractor in
designing the digital twin in the
design process are mainly related
to the optimization of their own
work.
They have no primary interest in
passing on the digital twin model
of the constructed building to the
investor after completing the
project and building construction,
i.e., something like that represents
an additional cost to them.
After having fun with the interesting
facts in the introductory part
of the article and also learning
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On the other hand, the investor
should be very interested in
getting a digital twin model of the
finished building for reasons that
I will list below.
Unfortunately, it often happens
that the investor does not require
the making of a digital twin
model of the constructed building
at the end of the design process.
Most often, he does not realize its
value and the potential savings in
operating costs and life cycle
costs of the built facility, which it
will bring to the investor, the
owner of the facility, the user of
the building or facility manager.
Also, a common cause for the
absence of a digital twin model of
a built facility is a certain skepticism
with the investor, owner, or
user of the facility or facility
manager.
The most common questions I
hear in discussions about the
need to build digital twin models
in the construction industry are:
• Why do I need a digital twin
model of a building, if I have a
construction stage project?
• Why do I need a digital twin
model of a building, if I have an
as built project?
• What additional value does the
digital twin model give me?
• How to manage the project
process so that the investor will
eventually get a cheap but quality
digital twin model?
• Does it make sense to create a
digital twin model if the building
is already built?
• What to do with a digital model
of a digital twin after making and
purchasing it?
Before giving detailed answers to
each of the questions asked by
the investor, the owner, the user,
or the facility manager, the basic
question is asked - who should
fund the creation of the digital
twin model of the facility? It is not
grateful to go into this dilemma
from this position and to advise
who should finance the digital
twin model, as this may depend
on the contractual obligations
between the investor, the owner,
the user, and the facility manager.
However, I am going to be free to
suggest to the investor that, in
the case of the construction of a
brand new building, if it has a
capable BIM manager who
manages the BIM project process
from the start of the project to
the completion of the construction,
it can have significant
financial benefits if he gets the
digital twin model at the end of
the project. He can accomplish
this by "refining" the BIM model
of the construction stage project,
which he could then hand over or
sell to the owner, user, or facility
manager. On the other hand,
when it comes to creating a
digital twin model of an existing
building, it seems most logical to
me that the costs of making the
digital twin model should be
taken over by the person who
manages the life cycle and pays
for the maintenance costs of the
building and its equipment, which
is usually the owner or user of a
facility.
To simplify the terminology and
relations between the investor,
the owner of the building, the
user of the building and the
facility manager, below, I will look
at the issue of the need to design
a digital twin of the building
through the prism of the user of
the facility, since the user is the
one who will pay the costs of
operating the facility, it’s life cycle
costs and the equipment in it,
and the one should be most
interested in the design and
procurement of a digital twin
model of the facility.
Why Do I Need A
Digital Twin Model
Of A Building, If I
Have A Construction
Stage Project?
By definition, the construction
stage project is a detailed design
of the main design with all the
necessary details defined for the
project to be constructed. The
problem with the construction
stage project is that, in practice,
the built facility is almost always
significantly different from the
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solution given in the construction
stage project for various justified
or unjustified reasons, which the
designer and contractor did not
consider when designing the
construction stage project.
Therefore, we can conclude that a
construction stage project cannot
give an entirely exact digital or
paper 2D replica of the completed
state of a newly constructed
building.
When considering building
structures that were built before
the advent of digital twin model
technology, this puts the facility
user in a worse position, since
from the 2D drawings on the
paper sheets he is not able to
grasp every detail of the building
that he uses or in an orderly
fashion track the changes, maintenance
and life cycle costs of
each element in the building.
Also, it is almost impossible to
imagine that the contractor was
so conscientious during construction
that everything, even the
slightest deviation from the
construction stage project, was
documented by an additional
graphic revision.
Why Do I Need A
Digital Twin Model
Of A Building, If I
Have An As Built
Project?
To better address this issue, it is
best to look at the very definition
of an as built project.
"The as built project is being
made to obtain the use permit,
use, and maintenance of the
facility.
The as built project of a completed
facility is a set of mutually
synced projects showing all the
details of the constructed facility
necessary to determine its
suitability for use.
The as built project can be made
for parts of the building which, in
the opinion of the technical
inspection committee, or following
the technical documentation,
represent the technical and
technological unit and can be
used as such independently, and
for which the suitability for use is
determined in accordance with
the rulebook governing the
technical inspection of facilities
and for which a special use
permit is issued. " (definition is
taken from the site paragraf.rs
from the Rulebook On The
Content, Manner, and Procedure
Of Preparation And Method Of
Control Of Technical Documentation
According To The Class And
Purpose Of The Facility - Official
Gazette RS number73/2019.
From the very definition, we can
see that the as built project,
whether in digital or paper
format, somewhat considers the
facility maintenance, but does not
provide clear guidance on how to
document the maintenance of
the facility, how to assess the
monthly, quarterly, annual life
cycle costs of the facility and
installed equipment.
From a law point of view, it's
enough to do an as built project
that would document all deviations
of the building from the
construction stage project, which
completely ignores the process of
the complete life cycle of the
building and the installed equipment.
What may be good about the
overall story of an as built project
is that in newly designed and
constructed buildings and equipment,
if the BIM workflow is
implemented appropriately in all
project stages, the BIM as built
model can be taken as a starting
model for development of a
digital twin model of the building
and the installed equipment. In
simpler terms, adding attributes
relevant to monitoring the
operating life cycle cost of a
facility to the BIM as built model
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is the most financially viable way
to obtain a digital twin model of
the construction facility and the
equipment built into it.
What precisely all this means, I
will explain in answer to the next
question.
What Additional
Value Does The
Digital Twin Model
Give Me?
If we are talking about a BIM
project, the simplest explanation
for the difference between a BIM
as built model and a digital twin
model is that the BIM as built
model provides static information
about a built object, such as its
geometry, equipment capacity,
properties of used materials and
equipment, etc.
The digital twin of a building and
its built-in equipment enables the
cost anticipation of each element
during its life cycle. These costs
can be predicted on a monthly,
quarterly, yearly, or multi-year
basis, which can provide valuable
information to the investor or
user of the facility to optimize
and more effectively manage its
own finance.
How To Manage The
Project Process So
That The Investor
Will Eventually Get A
Cheap But Quality
Digital Twin Model?
Assuming we are talking about a
BIM project, the most straightforward
answer to the asked question
is that the investor, during
the preparation of all project
phases, has in his team an
experienced BIM manager
(employed by the investor or
hired as a BIM consultant), who
will manage the BIM requirements
in the interest of the
investor during all stages of the
BIM workflow. The starting
document, which should also
form part of the contract
between the designer and the
In contrast, the digital twin model
contains dynamic data such as
maintenance costs and the life
cycle of all elements of a building
and equipment installed, as well
as elements that simulate various
“real-world” impacts on them.
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contractor with the investor, is
called the "BIM Execution Plan", a
BIM project execution plan, which
manages the delivery of the BIM
project at different stages of the
project.
This document, usually drafted by
an investor, defines what BIM
models need to contain at different
stages of the BIM project
process, protocols for names of
varying BIM elements in discipline
models to optimize and
automate the BIM project
process (naming convention),
collision definitions for each of
the stages of the BIM project
process, the platform on which
the BIM combined model will
operate, the "level of detail"
(LOD) of the discipline elements
throughout all stages of the BIM
project process and many other
things.
I think it should be reiterated
here that the process itself
between the BIM as built model
and the facility digital twin model
should be an integral part of the
BIM Execution Plan, since it is
more than evident that something
is in the investor's interest.
I am going to write about the BIM
Execution Plan in detail in one of
the following articles.
The previous brief description of
what the BIM Execution Plan
should contain, I just wanted to
give an idea of why the investor
needed it. It seems logical that
the ultimate goal of the investor
should be to create a digital twin
to use after the construction. An
experienced BIM manager or BIM
consultant can assist him greatly
by developing a BIM Execution
Plan and managing the complete
BIM workflow.
Does It Make Sense
To Create A Digital
Twin Model If The
Building Is Already
Built?
I think there is much need for a
digital twin model for an already
built facility, and there are many
reasons for this.
The first and foremost reason is
that as time goes on, every
building and installation requires
more money for maintenance,
more frequent failures in
mechanical, electrical, and
plumbing installations.
Also, every change in the building
regulations involves specific
works, and there are more of
them as the building structure or
equipment in it is older.
With this in mind, it is almost
impossible to see all the changes
that have taken place over the
years of using the building, and
every user of the building is
aware that there will be many
more changes, alterations,
replacements, and upgrades in
the future.
The logical conclusion is that in
order to consider the cost of
maintaining a building, it is
almost necessary to create a
digital twin model of an existing
building.
Practically, there are no substantial
differences in explaining why
a digital twin model of an existing
building is needed compared to
the building being designed. In
both cases, the essence of the
digital twin model is to enable the
facility user to view the life cycle
costs of the facility and the
installed equipment.
The only difference is that as time
goes on, the cost of maintaining
older buildings is increasing, so
the digital twin model is very
precious in assessing the cost-effectiveness
of further investment
in existing facilities and equipment
built into it.
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from the real - physical world -
are transferred to the digital
world, i.e., into the digital twin
model of the existing building
and the equipment built into it.
What To Do With A
Digital Model Of A
Digital Twin After
Making And
Purchasing It?
The answer to the last question I
am going to discuss in this article
should be, at the same time, a
recapitulation of everything we
have learned about the need for
digital twinning in the construction
industry.
First and foremost, the purpose
of developing a digital twin model
in the construction industry is to
obtain, in a digital format, and in
a much cheaper way, a user of a
facility about all aspects of the life
cycle cost of a particular building,
component or system in a real
environment and the real effects
of different phenomena that
interact with a building, component,
or system.
When a facility user purchases a
digital twin model of a facility and
built-in equipment, it would be
best to do monthly, quarterly,
annual, and multi-year cross-sections
of building and equipment
maintenance costs so that tenant
can manage finances in the best
possible way.
Any changes to the building itself
or the equipment built into it
must be updated in the digital
twin model as well since future
changes cannot be properly
tracked nor can the costs of
future maintenance work be
monitored unless the digital twin
model is a perfect digital copy of
the building current state and the
equipment built into it.
And at the very end of the article,
I will make a personal comment
and my more free-standing view
of the digital twin model in the
construction industry.
The digital twin model of a
building and equipment built into
it is essentially a BIM as built
model, with added functionality
that can be used for tracking the
life cycle cost of the building and
the equipment built into it. In
order to maintain the status of a
digital twin model of a facility, it is
necessary that it is continuously
updated and that all changes
I would also like to conclude this
article on digital twins in the
construction industry and my
view of how they can help the
construction industry through
cost optimization and better
functionality, both for under
construction facilities and already
built facilities.
Finally, I would like to take this
opportunity to announce my next
article, "Data Management In The
Digital Twin", in which, through
the examples, I will try to show
you the need to think for yourself
about the need to design a digital
twin of your building.
If you need any help in designing
the process of how to get a digital
twin model, or you need to create
a digital twin model yourself,
TeamCAD BIM Consultants will be
happy to support you.
Until next time,
Predrag Jovanović
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Data Management In The
Digital Twin Of The Building
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN THIS ARTICLE, I AM
GOING TO FOCUS ON AN
EXCITING TOPIC ABOUT
DATA MANAGEMENT IN
DIGITAL TWINS.
IN THE PREVIOUS, I HAVE
TRIED TO EXPLAIN IN THE
BEST POSSIBLE WAY WHAT
DIGITAL TWINS ARE IN A
BROAD SENSE, WHAT IS
THEIR POTENTIAL, IN
WHAT AREAS THEY CAN BE
USED AND MAKE
SIGNIFICANT SAVINGS AND
FINALLY - WHAT DIGITAL
TWIN REPRESENTS AND
WHAT ITS VALUE IS,
WHETHER IT IS ABOUT
BUILDING PROJECT OR THE
ALREADY CONSTRUCTED
BUILDING. IN THIS
ARTICLE, I HAVE THE
INTENTION TO COMPLETE
THE STORY OF DIGITAL
TWINS AND TO GIVE YOU
AN IDEA OF HOW TO
MANAGE DATA AFTER THE
CREATION OF A BUILDING
DIGITAL TWIN IN THE BEST
WAY.
Let's start with the assumption
that the investor, owner, user of
the facility, and / or facility
manager is interested in creating
a digital twin model of the building
he is using, as well as interested
in monitoring, forecasting and
managing the facility's maintenance
and life cycle costs. For
such a thing he needs:
• The contract and the BIM
Execution Plan, which clearly
defines the obligations of the
investor and the legal entity that
will create and maintain the
digital twin model. I am going to
give more details on this topic
below;
• BIM as built model, which
038 TeamCAD BIM
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reflects a perfect, as built copy of
the constructed building and the
equipment built into it (digital
twin model);
• A digital twin model containing
parameters valuable for
monitoring the life cycle of a
building and the equipment built
into it;
• Permanent maintenance of the
geometry and parameters of the
digital twin model after each
intervention on the building and
the equipment built into it;
• Generation and labeling of
elements QR codes in a building
or part of equipment over which
an intervention is performed and
labeling with an identical QR code
of an identical element in a digital
twin model to coordinate
real-world building data and its
digital twin model in the digital
world.
The Building’s Digital
Twin Creating and
Maintenance
Contract and BIM
Execution Plan
The primary role of the building’s
digital twin creating and
maintenance contract is to clearly
define the rights and obligations
of the building user on the one
hand and the company that will
be engaged in the creation and
maintenance of the digital twin
on the other. It turned out very
useful to include in the creating
and maintenance contract a
company that will provide
maintenance services for the
constructed facility and the
equipment built into it, i.e., facility
manager. This greatly minimizes
the possibility of communication
problems on the relation building
user - facility manager -
maintaining the digital twin of the
building.
Namely, in contracts that clearly
define the rights and obligations
between the interested legal
entities engaged in the
maintenance of the existing
building, it is crucial to define
clearly and unambiguously the
procedures from the appearance
of the need for intervention on
the building to noting it in the
digital twin model, i.e., to update
it.
BIM Execution Plan, in addition to
the building’s digital twin creating
and maintenance contract,
represents a document which has
the power of the contract and it is
written in the form of contract
addition where it is defined:
• Methodology for creating
building digital twin model;
• Level of Detail (LOD) i.e., the
level of detail of the geometry of
each type of graphic element
within the digital twin model;
• Elements of the building and
equipment that will be subject to
processing in the digital building
twin model database;
• The parameters in the digital
twin model that will be assigned
to the graphic elements of the
model to track them in terms of
maintenance costs and the life
cycle of the facility and the
equipment built into it;
• The manner of issuing orders
and labeling for intervention on
the constructed facility;
• A way to update the digital twin
and the data itself in the building
database after the intervention;
• Documenting all changes made
to the building and the
equipment built into it in the
digital twin model, not only by
changing the geometry of the
digital twin model, but also
establishing a link between the
element in the digital twin model
that was the subject of the
intervention and the
attachments, invoice scans,
textual description of the work
and how to make changes, as
well as other relevant
documentation related to that
element in the digital twin model.
In the end, it is essential to note
in the contract that it is desirable
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Even more complicated is the
situation where the owner or
user of the building does not own
the as built project, so before
creating a digital twin, it is necessary
to perform a building observation,
which requires a lot of
manual and not so intellectual
work.
Finally, there is the possibility of
laser scanning of an existing
object. Still, the purpose of the
generated point-cloud 3D model
of a digital twin of an existing
building is highly questionable
from a BIM point of view.
to define the costs of maintaining
a digital twin model. In most
cases, the item in the
maintenance contract involves
paying by the facility user after an
intervention order is issued,
which is a less favorable option
for the user. The second most
common option is the annual
subscription of the facility user to
a company that is contractually
obliged to update the model and
document any changes to the
digital twin model after each
order and intervention.
Creating Of The
Digital Twin Of The
Building
To understand how digital twin
data of the building is managed, I
must indicate to you that the
methodology for generating data
is not the same for the digital
twin that is the subject of the
project and the digital twin that is
generated based on data from
the as built project if the owner
or user of the building has it.
Let’s consider these four cases:
• The digital twin model generated
during the BIM workflow is
essentially a model generated
after the building construction
and can be considered as an as
built project. As I mentioned in
the previous article, if the investor
adequately hired his BIM
manager, who constantly
checked the coordination of the
constructed building with the
digital as built model, it can be
said that with certain, not so large
additional works on the digital as
built model, the investor can
easily have the digital twin model;
• Digital twin model generated
from the as built project using 2D
drawings and additional project
documentation is a far more
complicated case since it requires
a lot of BIM modeling, assigning
adequate parameters to the
elements in the digital twin and
linking those parameters to a
database that documents all
future repairs and works on the
facility. I must mention that the
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responsibility for the validity of
the drawings, as well as possible
disagreements between the
drawings of the as built project
and the real constructed building,
is the responsibility of the facility’s
owner or user and that he is
obliged to document all differences
to the company engaged in the
development of a digital twin
model of that facility. To put it
simply, any discrepancy between
the current state of the facility
concerning the as built project is
the sole responsibility of the
facility’s owner or user. Unless
the user of the facility has documented
the difference between
the constructed facility and the as
built project, the digital twin
model cannot be described as a
mistake by the company engaged
in the digital twin creation.
• The digital twin model generated
from the observation of the
constructed building involves the
engagement of a company or
individuals who will record the
complete facility and document
that recording in a format acceptable
to the company engaged in
the creation of the digital twin
model of the constructed building.
The process itself places
much responsibility on the
company or individuals hired for
observation of an as built facility.
It should be borne in mind that
such a scenario can only be
imagined in buildings that were
built in the distant past. Therefore,
the propensity to malfunction
and repairs is significantly
higher than the recently
constructed facilities whose
owners or users own the as built
project.
• The digital twin model
generated from laser scanning is
a highly debatable digital twin
model format.
In my opinion, it cannot be
considered an adequate model of
a facility’s digital twin. It provides
a visually acceptable model,
where its elements can get some
attributes through their labeling.
The problem with the digital twin
models thus generated is that the
elements in that model are not
intelligent and do not know
whether they are a column, wall,
or diffuser, so their
systematization and data
structuring in such models is
challenging to achieve and very
unreliable.
Issue An Order For
Intervention Using
The Digital Twin
Model On The BIM
360 Cloud Platform
Does it seem too futuristic for
you, as the facility’s owner or
user, to order the maintenance
technician of your facility to go
to a specific location of your
facility, identify the element on
which to intervene, and then
follow the instructions given to
you by voice or text message to
his smart phone, all from a
digital twin model found on the
BIM 360 cloud platform?
This technology is actually
possible, feasible and easily
applicable.
What is particularly fascinating
is that when generating a ticket
for a particular intervention, a
QR Code or Unique ID number
is automatically generated and
assigned on the one hand to
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the element of the facility over
which was intervened and, on
the other, to an identical
element in the digital twin
model stored in the BIM 360.
A once generated QR Code or
Unique ID assigned to a specific
element in a facility and an
identical element in the facility's
digital twin model allows you to
track all interventions and
history of all interventions on
one or more elements in the
facility and the facility's digital
twin model.
More description of digital twin
model maintenance in the BIM
360 cloud service, can be found
if you follow this link:
https://bit.ly/36qfyGm
Issuing A Ticket
Using The Digital
Twin Model In Bim
360 And Database
Related To The
Digital Twin Model
If you have read the text in the
previous subtitle and watched
the BIM 360 Ops video, I believe
you are fascinated with how
easily any change made to a
real-world facility and a digital
twin model in the digital world
can be documented. In a very
similar way, it is possible to
create a ticket and monitor its
implementation using databases
and specific procedures.
What is very convenient about
databases is that it is possible to
look at all interventions that
have happened in the past, but
also to write tickets that will be
executed in the future based on
the life cycle data of a particular
element in an existing facility
and a digital twin model of an
existing facility. Tracking
incoming and previous costs
with the help of a database,
whether it is regular work,
renovations, repairs, upgrades,
or adaptation of a building to
new regulations, allows the
facility user the opportunity to
view all the life cycle costs of the
building. Doing so will
significantly enable him to
optimize his finances and
provide significant savings.
Which Data Should
The Digital Twin
Model Contain?
The most straightforward answer
to this question is - the building's
digital twin model should contain
all of the data that is valuable to
the facility user and the facility
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manager for the effective
maintenance of the constructed
facility and the equipment built
into it.
Practically, there are no
restrictions on the parameters of
the digital twin model, so it can
be said that the user, the facility
manager and the company in
charge of creating and
maintaining the digital twin
model in the BIM Execution Plan
define all the parameters that are
valuable primarily to the facility
user.
However, it proved to be that the
data that are most often the
default parameters in the digital
twin model are related to the life
cycle costs of certain elements of
the facility and equipment,
different parameters that can
provide a quick response
regarding the cost of any changes
to the facility in terms of
upgrading, adaptation or change
of purpose of the facility or part
thereof and finally, the
parameters of the elements that
will signal incoming regular
construction work on the
maintenance of the facility and
the regular replacement of
equipment or parts of equipment
by the specifications of their
manufacturers.
It should be added that it is
possible to install different
sensors in a facility, which continuously
monitor and collect data
during the life cycle and the
facility exploitation, as well as the
equipment built into it, but this
requires the participation of
machine learning and Internet of
Things, for valid data processing,
which is a vast topic and I am
going to explain that workflow in
one of the following articles.
At the very end, I would like to
make a few observations and
conclusions about digital twin
technologies. The capabilities of
modern technologies are increasing,
and therefore the benefits
that digital tools provide us with
data processing, whether generated
by human labor, automation
tools or machine learning, are
increasingly apparent.
Essentially, any real-world flaws
can be remedied in digital
models, including the digital twin
model of a building.
The advantage of a digital model
of a building is that its elements
can be assigned much more
readily available data than the
elements of the building in the
real world.
It should be borne in mind that
the use of digital maintenance
technologies for an existing
facility, in addition to better
communication between the
facility manager and facility users,
also improves communication
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and documentation within the
facility management team.
The result is transparency in the
maintenance work of the
constructed facility, as well as
significant savings by reducing
the number of participants in the
process of issuing a ticket, during
the intervention itself, and finally
documenting the ticket execution
for any intervention at the
existing facility.
I hope you found the articles
about digital twins interesting
("What Are The Digital Twins?"
and "Digital Twins In The
Construction Industry").
With this article, I would also
conclude a series of articles on
digital twin technology and
announce the following text
"What Is BEP And What Should It
Contain".
If you have any questions,
comments, or want to know more
about the topic I covered in "Data
Management In The Digital Twin
Of The Building", please contact
TeamCAD, who will be happy to
provide you with additional
information.
Also, if you need any help in
designing the process of how to
get a digital twin model, or you
need to create a digital twin
model yourself, TeamCAD will be
happy to support you.
Until next time,
Predrag Jovanovićhttp://
bit.ly/3qcwUy6z z
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What Is BEP And
What Should It Contain?
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
WE CONTINUE TO COVER
INTERESTING TOPICS
RELATED TO THE BIM
WORKFLOW. AS I
ANNOUNCED IN MY
PREVIOUS ARTICLE, "DATA
MANAGEMENT IN THE
DIGITAL TWIN OF THE
BUILDING",
IN THIS ARTICLE, I AM
GOING TO COVER A TOPIC
ABOUT BIM EXECUTION
PLAN – BEP.
I THINK IT WOULD BE VERY
USEFUL TO DEFINE THE
TERMS AT THE VERY
BEGINNING OF THIS
ARTICLE THAT I WILL USE
EXTENSIVELY THROUGHOUT
THIS ARTICLE.
What Is BEP?
BIM Execution Plan - BEP is the
default and necessary document
of every BIM project in the
construction industry. The role of
BEP is to define various aspects
of the BIM project process
implementation, in addition to
the contract between the designer,
contractor and investor.
Since BEP does not yet have the
power of a contract, it is usually
attached as an addendum to the
contract between the designer,
contractor and investor, thus
introducing an orderly and
predefined relationship between
participants in the BIM project
process.
At the very beginning of the
article, it is important to note that
BEP development is entrusted to
the BIM manager on the project,
which is, in most cases, employed
or hired by the investor himself. It
is important to note that no clear
recommendation or law is
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which at the end of the design
process will allow the investor to
efficiently reach the digital twin of
the facility and the equipment
built into it.
A characteristic BEP usually
contains the following typical BIM
project management chapters:
• Project management;
• Format for delivery and
exchange of BIM documentation;
• Technical details of the BIM
project;
• BIM multidisciplinary
collaboration;
• LOD - level of development of
BIM elements
• CDE - a common data
environment;
governing the obligations of
participants in the BIM project
process, regarding obligations on
the responsibility of BEP design,
but it seems most logical that BEP
design falls into the domain of
investors for the following
reasons:
• The investor finances the entire
project process, including the
preparation of project
documentation at all project
stages, then the construction
itself and finally the development
of a BIM as built model, which the
investor will use as a digital twin
to calculate the operating life
cycle costs of the facility and the
equipment built into it;
• By designing a BEP, the investor
clearly and unambiguously sets
the required BIM standards to be
applied by the designer and
contractor, which will best fit into
the formats and workflows of the
investor;
• By designing BEP, the investor
ensures the consistency of
modeling, convention of naming
objects or parameters in BIM
model disciplines to establish a
process of automation of data
generation;
• By designing BEP, the investor
ensures consistency of BIM data
generation and BIM modeling,
Below, we are going to look at
each typical BEP chapter
individually by giving a detailed
explanation of their purpose as
well as their content.
Project
Management
The purpose of the BEP chapter
on project management is to
define the scope of
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implementation of BIM
technologies, for all participants
and disciplines in the BIM project
process. This chapter also assigns
investor requirements and roles
to teams and disciplines in the
BIM project process and key
dates for the start, completion
and delivery of BIM project
documentation.
Also, the project management
chapter defines the process of
approval of BIM project
documentation by investors.
Format For Delivery
And Exchange Of
BIM Documentation
The BEP chapter on the BIM
documentation delivery format is
intended to define in the BIM
project process all aspects
necessary for the successful and
optimized functioning of the
entire project team in all
disciplines in the project. In this
chapter of BEP, the most
commonly defined are units that
will be used during all project
phases.
Then, the BIM model formats
(.rvt, IFC, nwd, xlms, etc.) are
defined to be exchanged
between disciplines during the
project process and later, BIM
model formats to be delivered to
the investor.
Other BIM project documentation
formats such as data formats
(.xlsx, db, odbc, etc.) and various
reports and specifications (.doc,
xlsx, pdf, bcf, etc.) are also
defined.
Technical Details Of
The BIM Project
The chapter on the technical
details of a BIM project aims to
standardize and classify data, to
regulate how it is generated and
delivered at the end of each
project phase or the end of the
BIM project process.
It is common for this chapter to
include "BIM modeling
convention ", which defines
naming conventions for BIM
elements to achieve BIM design
process automation and the
ability to update and monitor all
BIM data parameters after
handing over a BIM digital twin
model to an investor at the end
of the BIM design process. In
addition to the aforementioned
parts of the chapter on technical
details of the project, in this
chapter, it is also desirable to
define the geographical data of
the building that is the subject of
the project design.
Then, it is useful to define the
software that will be used in the
BIM project process. Last but not
least, In the chapter on technical
details of the BIM project
process, it is common to see a
detailed description of the output
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standard related to graphic
documentation and data from
the BIM model of all disciplines
participating in the BIM project
process.
BIM Multidisciplinary
Collaboration
I believe that the goal of the
investor is to get a fully coordinated
project at the end of the
BIM project process without
collision between different
disciplines in the project. In
reality, that implies that the
investor is going to get a fully
coordinated multidisciplinary BIM
model at the “as built project”
stage done by the contractor.
This BIM model means the BIM
model of each discipline in the
project process, which is combined
into a multidisciplinary BIM
model and where all BIM discipline
models are fully coordinated
ie. have the status of "zero
clash BIM multidisciplinary
model“.
This kind of makes perfect sense,
given that the building and the
equipment built into it are
completely collision-free, so it is
quite expected that the BIM
model will be a perfect digital
replica, ie. a digital twin of the
building.
I have written three articles on
the topic of digital twins and their
purpose, which detail the
purpose and methodology of
their creation - "What Are The
Digital Twins?", "Digital Twins In
The Construction Industry", "Data
Management In The Digital Twin
Of The Building".
However, it should be borne in
mind that during the BIM project
process, starting from the
conceptual design, at the end of
each project phase (except the as
built project), the BIM multidisciplinary
model does not imply a
multidisciplinary BIM model
without collision between different
disciplines in the project.
The process of moving from
coarse BIM discipline models to a
fully coordinated multidisciplinary
BIM model is achieved by
BIM virtual coordination meetings
(VDRs ), where a visual
review of the BIM discipline
model is performed and a
collision detection test is
performed.
It is expected that as project
phases progress, there is going to
be fewer collisions, but it is
unrealistic to expect a BIM
multidisciplinary model without
collisions between different
disciplines until the as built
project, because many collisions
can be solved on the construction
site, while on the other hand
there is no sense in solving some
of the collisions in the early
stages of the project due to the
investor costs, as long as those
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collisions do not significantly
compromise the coherence of the
project of different disciplines.
It would be best if the whole
process of BIM virtual coordination
meetings (VDRs) is managed
by a BIM Manager or a BIM
Consultant on a project, either
employed or hired by the investor.
The process from coarse BIM
models to a fully coordinated
multidisciplinary BIM model can
save a lot of money for an investor
if it is managed by an experienced
BIM Manager or BIM
Consultant.
The frequency of BIM virtual
coordination meetings cannot
generally be defined, but it is
common for BIM virtual coordination
meetings to be held once a
week or once every two weeks. It
is desirable for the BIM Manager
or BIM Consultant to keep a
record during the BIM virtual
coordination meeting and, after
the meeting, to report on the
progress of the BIM discipline
models and project coordination
ie. coordinate the BIM disciplines
with each other and submit that
report to the investor.
attached as an integral part of
the BEP. The level of development
of BIM elements is going to
be discussed in the next chapter.
LOD - Level Of
Development Of
BIM Elements
This chapter defines the level of
development of BIM elements
according to the project phase in
which the project teams of each
discipline in the BIM project
process are. In this BEP chapter,
the investor defines the levels of
development of BIM elements
during all stages of the design
process and places them before
the designer and contractor, not
only in terms of the graphic
requirements of the BIM model
but also in terms of the data that
the BIM elements contain.
The consistency of the level of
development of the BIM
elements and the project phases
is a very broad topic, of which I
am going to give much more
detail in my next article, and
therefore I ask the readers for
some patience on this subject.
CDE - A Common
Data Environment
The last typical BEP chapter, as its
name clearly suggests, defines
the environment where the BIM
project will be done. This means
in practice that this chapter
defines how to exchange models
of different disciplines in the BIM
project process, then the
frequency of BIM model
exchange, the server where the
BIM models and the data related
to them will be uploaded, etc.
The traditional way of exchanging
BIM models, data from the BIM
models and generally the
complete project process does
not give the investor the ability to
check the progress of the BIM
project process at any time
during the project process.
However, this can be
At the very end of the chapter on
BIM multidisciplinary collaboration,
we should mention that
there are LOD (Level Of Development)
Engagement Protocols,
which in some countries respect
the predefined format of BIM
parts, during the various project
phases. However, most commonly,
the level of development of
the BIM elements in the project
process is related to the different
project phases and is usually
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compensated by an investor
hiring a BIM Manager or BIM
Consultant. herefore, it is very
useful for all participants in the
BIM project process - including
designers of different disciplines,
contractor and investor - to work
in a cloud-based project
environment where there is no
upload of updated BIM discipline
models. In a cloud-based project
environment, BIM discipline
models remain virtually in the
cloud all the time and are
updated in real-time, and BIM
models can be considered "alive".
This means that every change in
the BIM model made by the
participants in the project is
reflected in the BIM model of
discipline in the cloud. This
provides maximum transparency
to all participants in the BIM
project process and helps to
identify multidisciplinary
problems in the project process
faster and to solve them in the
early project stages.
It is not my intention to give a
final judgment or impose my own
opinion, but after really many
projects in different cloud
common project environments,
my opinion is that the BIM 360
provides the best opportunities
for permanent coordination
between different BIM discipline
models in the BIM project
process, because all changes are
visible after the data in the BIM
discipline model is synchronized.
Such a BIM workflow enables the
investor or his BIM Consultant to
constantly monitor the progress
of the project and the level of
compatibility of the BIM model
disciplines at any point in the
project process. At the very end
of the article, I would like to make
a summary of everything I have
outlined in the article.
BEP is a necessary document for
the successful implementation of
BIM technology on a project
where the investor places a BIM
claim on the project participants.
It is logical that BEP development
is the responsibility of the
investor, as he pays for all project
life cycle costs - from the
conceptual design to the as built
project. Depending on the
experience of the BIM Manager
or BIM Consultant hired by the
investor to design the BEP and
oversee the implementation of
the requirements contained in
the BEP, the investor himself can
make significant savings at all
stages of the project process.
In the end, it is possible to have a
BIM as built model with
installations - a future digital twin
of the facility, which he can hand
over or sell to a future facility
user to track the life cycle cost of
the facility and the equipment
built into it. If an investor is also a
future user of a facility, creating a
BEP by the investor, by hiring a
BIM Manager or BIM Consultant
and overseeing the
implementation of the
requirements contained in it,
seems like the only logical option.
I would like to conclude with an
article on "What Is BEP And What
Should It Contain?" and my view
of how it can help an investor in
many areas by optimizing costs
and achieving better
functionality, both for facilities
that are not made or built and for
facilities that are built.
Until next time,
Predrag Jovanovic
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Whati Is LOD - The Level Of
Detail of BIM Elements
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
WE CONTINUE TO COVER
INTERESTING TOPICS
RELATED TO THE BIM
WORKFLOW. AS I
ANNOUNCED IN MY
PREVIOUS ARTICLE, "WHAT
IS BEP AND WHAT SHOULD
IT CONTAIN?", IN THIS
ARTICLE, WE ARE
FOCUSING ON A TOPIC
CONCERNING LOD - LEVEL
OF DETAIL OF BIM MODEL
ELEMENTS.
What Is LOD - The
Level Of Detail Of
BIM Elements?
The Level of Detail of BIM
elements or LOD is a chapter of
BEP (BIM Execution Plan). In BIM
terminology, it presents a precise
description of all typical elements
in the BIM model, both in terms
of graphic details of BIM
elements and in terms of quantity
type data that the BIM element
should contain. The level of detail
of BIM elements is usually
directly related to the work and
data delivery at certain phases of
the project, so it can be safely
concluded that the level of detail
of BIM elements defines the
graphical appearance of BIM
elements and the type and
quantity of data allocated to BIM
052 TeamCAD BIM
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elements during and at the end
of each project phase.
All of the above leads us to the
logical conclusion that the levels
of detail of the BIM elements
change at each project phase
during the project life cycle.
One has to be very careful about
the required level of detail of BIM
elements during each project
phase, primarily for coordinated
exchange of BIM data during the
BIM project process and then for
financial reasons, since all
participants in the project
process should be aware of the
fact that the higher requirement
in terms of the level of detail of
BIM elements at some phase of
the project, the higher work, and
therefore the higher cost of
generating BIM geometry and
data in the BIM discipline model.
After defining exactly what the
LOD or the level of detail of BIM
elements means and explaining
in principle the relationship
between the level of detail of BIM
elements and project phases,
logical questions arise:
of data have to match?
• How to verify the
implementation of BIM element
LOD?
• Is the chapter on the LOD of the
BIM elements sufficient to ensure
efficient coordination of the BIM
model and the exchange of data
from all participants in the BIM
project process?
Below, I will give you a detailed
answer and explanation for each
question asked.
Who Defines The
Level Of Detail Of
Bim Elements?
Bearing in mind that the interests
of the designer, contractor and
investor do not completely
coincide during the BIM project
process, I do not think it is
possible to give a simple answer
to the question which party in the
project process needs to define
precisely the level of detail of the
BIM elements.
First, it should also be borne in
mind that the BEP chapter, which
deals with the level of detail of
BIM elements, most commonly
defines the graphical layout of
BIM elements and the data
assigned to those elements in
BIM discipline models. Indirectly,
the BIM element LOD also affects
the multidisciplinary BIM
workflow and data sharing in a
multidisciplinary BIM
environment by placing clear
requirements on the BIM
element LOD in front of the
disciplines designers, both
graphically and in terms of data
that the BIM discipline model
should include.
All this provides a framework for
discipline designers to exchange
information efficiently from the
BIM discipline model, and it is
therefore very valuable to set the
level of detail of the BIM
elements to the discipline
designers, which would allow
them to exchange data as
efficiently as possible within the
BIM project process during a
particular project phase.
Considering all the above in the
article section on who defines the
level of detail of BIM elements, I
think it is most logical that the
investor is a participant in the
project whose interest is to
manage the LOD requirements of
BIM elements for each discipline
in the BIM project process.
• Who defines the level of detail
of BIM elements?
• How to define the level of detail
of BIM elements depending on
the project phases?
• Do the graphic level of detail of
BIM elements and level of detail
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The reasons for this are many,
and I m going to list only the
most important:
• Better control over the process
of generating graphic
documentation and data in BIM
discipline models at each project
phase;
• Optimized transition to the
next phase of the project in the
BIM project process;
• Easier establishment of
automation of the BIM project
process, which results in the
absolute accuracy of the
generated data and more
efficient exchange of data
between different disciplines in
the BIM project process; more on
that topic, you can find in the
article „BIM Workflow
Automation“
• Reduction of design costs
through automation of the BIM
project process;
• By controlling and managing
the LOD requirements of BIM
elements, the investor gets a
cheaper BIM as built model,
which can serve as a very good
basis for the FM model and
digital twin model; read more in
the article "What Are The Digital
Twins?"
Following the reasons why an
investor should manage the LOD
requirements of BIM elements, it
is important to note that it is very
easy for an investor to achieve
the above goals by hiring a BIM
Manager or BIM Consultant, who
with his knowledge and experience
could bring significant
financial savings to the investor
through optimization of requirements
of the LOD of BIM
elements at all phases of the
project in order to establish the
most efficient BIM project
process.
How To Define The
Level Of Detail Of
Bim Elements Depending
On The
Project Phases?
Fortunately, the answer to this
question is not that complicated.
Specifically, the BIM project
process monitors the requirements
of each project phase, so
the direct relationship between
the LOD of the BIM elements and
each project phase is more than
obvious, with some exceptions.
I m going to try in a very simple
way to explain the requirements
of each LOD of BIM elements
during the project phases
through a very simple example -
the evolution of the door LOD
through the different phases of
the project:
After a very simplified way of
reviewing the requirements of
the LOD of the BIM elements
according to the project phases, I
think it would be useful to also
make a description of each level
of detail of the BIM elements -
LOD level:
• LOD 100:
• graphic requirements - the
most basic 3D geometry;
• parameters - the most basic
geometry without material data;
• LOD 200:
• graphic requirements – 3D
geometry;
• parameters - the most basic
data of elements materials;
• LOD 300/350:
• graphic requirements - 3D
geometry with details sufficient
for the preparation of tender
documents;
• parameters - information on
the materials of the elements
sufficient for the preparation of
the tender documentation;
• LOD 400:
• graphic requirements -
detailed 3D geometry with details
sufficient for the construction
state project;
• parameters - information on
the elements materials sufficient
for the construction state project;
• LOD 500:
• graphic requirements -
detailed 3D geometry with details
sufficient to produce the as built
project, FM model and digital
twin;
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• parameters - data on the
materials of the elements sufficient
to produce the as built
project, FM model and digital
twin;
Do The Graphic
Level Of Detail Of
Bim Elements And
Level Of Detail Of
Data Have To
Match?
The answer to this question may
be a conditional yes.
Namely, in practice, I often
encountered different requirements
in terms of the LOD of BIM
elements which were not strictly
following the typical requirements
of the project phase ie.
according to the brief overview
given in the previous chapter of
the article - comparing the BIM
element level of detail from LOD
100 to LOD 500.
To tickle your imagination, I am
going to give you a typical
example that completely deviates
from the schedule view of the
LOD 500 of BIM elements during
the various phases of the project.
Take elevator geometry and
elevator data, for example. In the
FM model and the digital twin
model of a constructed building,
for example, the elevator can be
presented geometrically as a
simple prism, while in terms of
parameters and data it must be
presented in much more detail.
Elevator data in the FM model
and digital twin model must
provide information about who
the elevator manufacturer is,
what material the elevator was
made of in the BIM model, when
the previous elevator service was,
when the next elevator service is,
how many people can fit in the
elevator, cable data and other
details related to elevator
lifecycle monitoring, etc.
After this very simple example
regarding the LOD requirements
of the BIM element related to the
elevator in the FM phase of the
project or the digital twin model, I
think it is clear to you why I
initially answered the question as
a conditional yes.
In this regard, I hope you
understand that LOD 200 or LOD
300 is sufficient for the graphic
requirements of the elevator,
while the LOD 500 is required for
parameters and data for the FM
model or the digital twin model
to fulfill all requirements for an
adequate LOD of the BIM
elements.
How To Verify The
Implementation Of
Bim Element Lod?
The most logical answer to this
question is that the investor
should verify that all
requirements related to the LOD
of BIM elements in the BIM
project process have been met.
The simplest way for an investor
to do this is to hire an experienced
BIM Manager or BIM Consultant,
who would check, in the interest
of the investor, the degree of
implementation of the BIM
element LOD in the BIM discipline
models.
To avoid any complications and
to identify any shortcomings in
the BIM discipline models on
time, it is best to organize
periodic virtual multidisciplinary
BIM meetings, where a mutual
review of all BIM discipline
models is conducted.
Such a process would prevent
any problems in reaching the
required LOD of BIM elements in
the BIM model of any discipline
and would give sufficient time to
all project participants to remedy
any deficiencies if they were
noticed at any time during the
BIM project process.
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Is The Chapter On
The Lod Of The Bim
Elements Sufficient
To Ensure Efficient
Coordination Of The
Bim Model And The
Exchange Of Data
From All Participants
In The Bim Project
Process?
The answer to this question is
short and simple - no.
Although the chapter on the
LOD of BIM elements can serve
as a very good starting point for
effective coordination of the
BIM model and the exchange of
data of all participants in the
BIM project process, the
process of BIM workflow
coordination between
disciplines, as well as the data
exchange between participants
in the BIM project process
belongs much more to the BEP
addition called "BIM Modeling
Convention".
This document describes in
detail the way and techniques
of BIM modeling of each
discipline, BIM workflows for
automated and optimized data
exchange between disciplines,
the process of BIM
multidisciplinary coordination,
ways of data visualization, etc.
article on LOD - Level of detail
of BIM elements. The level of
detail of BIM elements is an
integral part of BEP, which
further clarifies the required
LOD of BIM elements, both
graphical, parameters and data.
The BIM element detail levels
are usually defined from LOD
100 to LOD 500
It is common for the LOD of the
BIM element to match the
project phase in which it is
generated, but this rule may not
always apply.
The most common discrepancies
in this regard are with the FM
and digital twin models.
The LOD of BIM elements is an
excellent starting point in
defining and coordinating the
BIM model of disciplines, both
graphically and in terms of a
framework for coordinating and
exchanging data of all
participants in the BIM project
process.
However, the LOD of the BIM
elements does not fully regulate
the multidisciplinary BIM
workflow, but rather it is
governed in the best way by the
"BIM Modeling Convention", of
which I will provide much more
information in the following
article.
I would also like to conclude
this article "What Is LOD - The
Level Of Detail Of BIM
Elements?" and my understanding
of how it can assist the
investor in all phases of the
project process through optimization
and automation of the
BIM project process, optimization
of multidisciplinary coordination
and improved implementation
of the BIM project
process.
I would also like to take this
opportunity to announce my
next article, „The BIM Modeling
Convention“.
Until next time,
Predrag Jovanović
At the very end of the article, I
would like to give a brief
recapitulation related to the
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The BIM
Modeling Convention
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN ORDER TO BE ABLE TO
DELVE DEEPER INTO THE
ANALYSIS OF THE BIM
ASPECT RELATED TO THE
TOPIC WE ARE GOING TO
COVER, I THINK IT WOULD
BE VERY USEFUL TO DEFINE,
AT THE VERY BEGINNING OF
THE ARTICLE, THE CONTEXT
AND DEFINITION OF THE
WORD „CONVENTION“ PUT
IN THE CONTEXT OF BIM
WORKFLOW. THERE ARE
INDEED MANY DEFINITIONS
OF WHAT THE WORD
CONVENTION MEANS
EXACTLY, DEPENDING ON
THE CONTEXT IN WHICH
THE WORD CONVENTION IS
USED. IN TRYING TO FIND
THE CORRECT DEFINITION
OF THE WORD
CONVENTIONS, WHICH
WOULD BEST FIT INTO THE
CONTEXT OF A BIM
WORKFLOW, I CAME
ACROSS TWO DEFINITIONS
THAT, IN MY OPINION, BEST
FIT THIS PURPOSE.
By the first definition, the word
„convention“ in the context of a
BIM workflow can be defined as:
"A rule, methodology or common
practice established by long-term
use by users."
Another very appropriate definition
of the word „convention“,
which can help us put the word in
the right context within the BIM
workflow, is: "A convention is an
agreement, an agreed use, and a
standard procedure established
by long-term use by users."
Both of the above-mentioned
definitions of the word „convention“
meaning fit perfectly in the
context of the BIM workflow, and
I took and translated them from
Dictionary.com.
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modelling process, it is common
to define:
After defining the meaning of the
word "convention" in the context
of a BIM workflow, questions
such as the following are
imposing:
• What is the BIM modelling
convention?
• What is the purpose of the BIM
modelling convention?
• Is it possible to successfully
automate the BIM project
process and visualize data
without the BIM modelling
convention?
• Can the BIM modelling
convention become part of the
BIM standard?
Below, I will do my best to answer
each of the questions raised.
What Is The
BIM Modelling
Convention?
The BIM modelling convention is,
in my opinion, an integral part of
the BIM design process.
The BIM modelling convention is
a set of agreements, rules,
methodologies and standard
procedures concerning both the
BIM modelling process itself and
the naming of parameters and
attributes in BIM discipline
models and in a multidisciplinary
BIM project environment.
It is common for the BIM
modelling convention to be
attached as a separate to BIM
Execution Plan.
What Is The
Purpose Of The
BIM Modelling
Convention?
The purpose of the BIM
modelling convention is to ensure
consistency of both aspects of
the BIM project process - the BIM
modelling process itself and the
generation and management of
data, whether we are talking
about a multidisciplinary BIM
environment or a BIM discipline
model.
What exactly does that mean?
As for the part of the BIM
modelling convention on the BIM
• Coordinates and the project
base point;
• Methodology for modelling BIM
elements in discipline models;
• Coordination of the BIM
discipline models in a
multidisciplinary BIM
environment;
• Division of project zones, if it is
a complex and large project;
• Levels height in each of the BIM
discipline models.
The above-mentioned part of the
BIM modelling convention is not
as complicated to implement as it
is mainly related to the skills of
BIM modelers and BIM discipline
coordinators in a
multidisciplinary BIM
environment.
What requires a much more
serious approach from
participants in the BIM project
environment of disciplines and in
a multidisciplinary BIM
environment is the part
concerning data and parameter
management. Therefore,
particular attention should be
paid to this aspect within the BIM
modelling convention framework.
Namely, the part of the BIM
modelling convention about data
and parameter management
within the BIM discipline model
and in a multidisciplinary BIM
environment is of the utmost
importance when talking about
the successful establishment of
BIM design process automation,
since only the preliminary
definition and consistency of
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parameter naming ensures
successful implementation of BIM
design process automation and
visualization of data obtained
from that process. So, in the part
of the BIM modelling convention
about the generation and
management of BIM data, the
most commonly defined are:
• BIM elements naming convention;
• The naming convention of
parameters of BIM elements;
• Data management methodology
in a multidisciplinary BIM
environment;
• Filter color coding as preparation
for BIM data visualization;
• BIM data visualization methodology.
Unlike the part of the BIM
modelling convention related to
the BIM modelling process, which
is more concerned with geometric
data, the part of the BIM
modelling convention on the
methodology of generating and
managing BIM data forms the
core of successful or unsuccessful
BIM implementation, because
information - data in the BIM
model make the key difference
between 3D models and BIM
models.
Therefore, we are going also to
consider the issue of interaction,
on the one hand, the BIM design
process automation and data
visualization, and on the other,
the BIM modelling convention.
Is It Possible To
Successfully
Automate The BIM
Project Process And
Visualize Data
Without The
BIM Modelling
Convention?
I have a very simple answer to
this question and it says NO. Why
is it not possible to automate the
BIM project process and visualize
data without a modleling
convention? I think I am going to
answer this question in one very
simple example.
About half a year ago, I attended
a very interesting webinar on
data, where one of the
presenters was a programmer
from a company that wrote a
package for the visual
programming language Dynamo.
Because part of the presentation
also included a live
demonstration of the Dynamo
package tool, at one point the
presenter wanted to filter and
isolate all the trees in his BIM
model to further process the data
and then visualize that data.
He chose the „tree“ parameter as
the criterion for filtering elements
in his BIM model and hit the
"Run" button in his script. We all
naturally expected that after the
"Run" button in the Dynamo
script was pressed, only the trees
would be visible. However, this
did not happen, the screen
remained completely blank, so
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nothing was selected after the
Dynamo script and the script
reported that the number of
elements that could be selected
by the given criteria was zero...
What actually happened? The
criterion in the Dynamo script
("Node" code block = tree;) for
element selection in the BIM
model was set to search for all
elements containing the word
"tree" in its name.
The presenter typed "tre" in the
name of its element - a tree - and
made a mistake in naming the
element. It turns out that the
script looked for BIM elements -
trees named "tree", but in the
BIM model used in the
presentation, there was no such
element.
The reason is that the element
tree in the BIM model is called
"tre" by mistake of the BIM
modeler. Therefore, since no
element met the criteria of the
predefined filter for the selection
of the BIM element tree – „tree“,
therefore the tree could not even
be selected.
If we analyze this problem from a
purely human - common sense,
not programming or automation
perspective, we come to the
paradoxical situation that the
object we see on screen is a tree.
So we want to select a tree and
know what a tree is in the BIM
model, but scripts and
automation tools do not allow us
to select all trees in the model by
a given criterion, for procedural
reasons.
I hope this very simple example,
in a picturesque and easy to
understand way, explains the
importance of the BIM modelling
convention above all, and the
predefined BIM element naming
convention in a BIM discipline
model and multidisciplinary BIM
environment, and then the
accuracy of data entry and filter
use that give you the ability to
visualize data from the BIM
discipline model and
multidisciplinary BIM data.
And about the data visualization
from the BIM discipline model
and the multidisciplinary BIM
environment, more in the
following articles…
Can The BIM
Modelling
Convention Become
Part Of The BIM
Standard?
The question posed does not
require a vast BIM knowledge
and experience, but is a more
common sense question. If we
look at the entire history of the
human civilization development,
it is clear that the very beginnings
of the first language on our
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planet, used by the human
species, are certainly based on
the convention of naming objects
in nature, phenomena and
characteristics that surround us.
Every word that is in use today, in
any language in the world, has its
roots in the distant past, where
the then members of the human
species have agreed, or in the
spirit of this article, have made a
convention to name the objects
that surround them.
From the agreed names for
particular objects, phenomena
and characteristics for natural
phenomena, we have come to
standardized languages, which
have a set of default rules, which
can be called a standard. Do you
notice any similarities in the
process, from agreement and
convention to the standardization
of the language creation process
described above with the BIM
modelling convention and the
BIM element naming convention?
I think you can see for yourself
the answer to the question of
whether the BIM modelling
convention can become part of
the BIM standard. After all, let's
remember the CAD naming
convention of a layer in AutoCAD,
at the level of each company,
when the CAD standard began to
apply, and compare it with
today's AIA CAD standard for the
layer naming.
I think it is quite clear that one
day, instead of the BIM modelling
convention, we will talk about the
BIM modelling standard and that
this article will be ridiculed, but to
be honest, I cannot wait for that
to happen, since the standardization
of BIM modelling will bring us
great benefits and savings in the
BIM project process in the future.
At the very end of the article, I
would like to give a recapitulation
of the topic and give personal
conclusions based on years of
practice in implementing BIM
technologies.
The BIM modelling convention is
more often an integral and
default part of the BIM Execution
Plan and helps all participants in
a multidisciplinary BIM environment
to standardize both the BIM
modelling process and the
naming of BIM elements in BIM
discipline models.
The predefined naming convention
for BIM elements is not an
administrative or bureaucratic
requirement on the part of the
BIM Project Manager but aims at
establishing data generation
automation in BIM discipline
models, which brings significant
savings to all participants in the
BIM project process. Also, the BIM
modelling convention also significantly
helps to automate the
exchange of data between
different BIM model disciplines in
a multidisciplinary BIM project
environment.
Finally, the BIM modelling
convention largely optimizes the
establishment of data generation
automation, which is later used to
visualize data obtained from BIM
models.
It can be said that the BIM modelling
convention, mostly its part on
the BIM elements naming, is the
basis for the successful implementation
of the BIM design
process automation in a multidisciplinary
BIM environment and
the automation of data generation
to visualize data obtained
from the BIM disciplines or
multidisciplinary BIM model.
I would like to conclude with the
article on the topic „The BIM
Modelling Convention“ and my
view of how this document can
help us to establish the automation
of the BIM project process at
all stages of the BIM project
process, then to optimize multidisciplinary
coordination, and
ultimately to advance the implementation
of the entire BIM
project process.
Until the next article,
Predrag Jovanović
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The Big Savings BEP
Brings To The Investor
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IF YOU READ ONE OF MY
PREVIOUS ARTICLES, „WHAT
IS BEP AND WHAT SHOULD
IT CONTAIN?“, I HOPE I
ASSURED YOU BEP IS NOT
ONE MORE BUREAUCRATIC
DOCUMENT IN BIM
PROJECT DOCUMENTATION,
THAT „BOTHERS DISCIPLINE
DESIGNERS AND
CONTRACTOR TO EXPRESS
THEIR CREATIVITY“,
BUT THE KEY DOCUMENT
THAT IN CLEARLY AND
UNAMBIGUOUSLY, FROM
BIM IMPLEMENTATION
POINT OF VIEW, DEFINES
ROLES AND ARRANGES
RELATIONS BETWEEN
DISCIPLINES DESIGNERS,
THE CONTRACTOR AND THE
INVESTOR IN BIM PROJECT
PROCESS.
In my opinion, writing BEP should
be investor’s obligation, either by
hiring BIM Manager or BIM
Consultant, because the quality
and consistent BIM model
generated during different
project phases and organized
data generated in it could serve
as an excellent base for
transforming the BIM model in
the digital twin model at the very
end of BIM project process.
Furthermore, the digital twin
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model enables big savings in
facility maintenance through the
cost optimization of facility
lifecycle and equipment built into
it.
After the introduction, let me
continue with considering what
way the investor can make
considerable savings with BEP
making and the control of its
implementation in the BIM
project process. I am going to
present a few ideas and
conclusions, which, I am sure,
bring considering benefit to the
investor:
• The consistency of the BIM
discipline models during all
phases of the BIM project process
allows the investor large savings;
• Well designed and implemented
BIM modelling convention brings
the investor big savings;
• By optimizing the
multidisciplinary coordination of
the BIM discipline models, the
investor achieves great savings;
• By optimizing BIM elements
LOD, the investor achieves big
savings;
• By optimizing CDE (Common
Data Environment), the investor
achieves great savings.
All the above-mentioned
recommendations and
conclusions can bring significant
savings in the BIM project
process to the investor and they
can be explained in detail. Also, I
think that the above-mentioned
conclusions need to be confirmed
with some examples from the
real BIM project environment,
which I am going to do below.
So let's go in order…
Note: In the following text, I am
going to explain in detail all the
above-mentioned conclusions
and recommendations based on
my personal experience and very
successful BIM project process
implementation for one of the
biggest investors and data center
owners in the world.
The Consistency Of
The BIM Discipline
Models During All
Phases Of The
BIMProject Process
Allows The Investor
Large Savings
I am not sure that the vast
majority of readers understand
why it is necessary to ensure the
consistency of the BIM discipline
models during all project phases
and how this allows the investor
great savings, so I think it is
necessary to explain this
conclusion in detail.
For a start, it would be good to try
to put yourself in the role of an
investor and consider what would
be in your interest, and that is
related to the consistency of the
BIM discipline models during all
phases of the BIM project
process.
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Let's take the example that the
investor, although this is usually
not the case, foresaw the same
designers of disciplines during all
phases of the project, from the
concept phase, all the way to the
construction stage project.
Furthermore, it usually happens
that, after the tender phase of
the project, BIM discipline models
are handed over to the
contractor, who extracts from
these BIM models the necessary
data related to construction
dynamics, bill of quantities,
quantities of materials needed
for construction, materials and
equipment that are going to be
installed in a building, etc.
If the investor, with the help of
his BIM Manager or BIM
Consultant engaged in the
project, did not monitor the
consistency of the BIM discipline
models during the previous
project phases and if it turns out
that BIM discipline models are
not usable for the contractor for
various reasons, justified or
unjustified, the investor can easily
face the problem that the
contractor requires him to
develop completely new BIM
discipline models for the
construction phase of the project,
which exposes the investor to
additional and unplanned costs.
An additional absurdity of this
situation is that the investor has
already paid the designers of the
disciplines designing and making
BIM models of disciplines, so the
investor, in case the BIM models
of disciplines generated by the
designer are not consistent with
the contractor's requirements,
would practically pay the same
thing twice.
So, in this very simple example,
you can see how important it is to
have consistency and continuity
of BIM disciplines models during
all phases of BIM project process,
regardless of whether BIM model
is in the hands of designer,
contractor, investor, company
engaged in facility maintenance
as a facility manager or the user
of the building.
In answer to the question - how
an investor can achieve
significant savings during all
phases of the BIM project
process, we can say - by
monitoring the consistency of the
BIM disciplines models from
conceptual BIM model to digital
twin model of the building and
equipment built into it with the
help of BIM Manager or BIM
Consultant on the project.
And how can BEP help us in the
consistency of the BIM modelling
process? You are going to get the
answer to this question in the
next few sentences…
Well Designed And
Implemented BIM
Modeling
Convention Brings
The Investor Big
Savings
It is this part of BEP - the BIM
modeling convention - that
ensures the consistency of the
BIM modeling process during all
phases of the BIM project
process. You can find much
more information about the
BIM modeling convention if you
read the article "BIM modelling
convention" where I covered
this topic in detail.
In this article, it is not my
intention to go into too much
detail on that topic. However, I
think it is important to note that
this part of the BEP largely
regulates the manner and
consistency of data and
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information generation in BIM
models of disciplines.
This further leads us to the
conclusion that special
attention must be paid to the
field of data and information in
BIM models because the
transfer of BIM disciplines
models by the designers of
disciplines to the contractor, as
well as the transfer of BIM as
built model by the contractor to
the investor ensures
consistency in the BIM model of
the digital twin.
And what is most important to
me, the investor thus, through
BEP and hiring an experienced
BIM Manager, gains complete
control over the consistency of
the process of BIM modelling
and generating data and
information in BIM models, and
thus gains confidence in the
data generated at the end of
the as built project, ie. at the
beginning of the digital twin life
cycle.
By Optimizing The
Multidisciplinary
Coordination Of The
BIM Discipline
Models, The
Investor Achieves
Great Savings
Let’s start on this topic with one
simple question. Is full
coordination between the BIM
models of disciplines expected at
the end of the project conceptual
phase? The answer is extremely
simple and it says no. It should be
borne in mind that at the
conceptual design stage, BIM
disciplines models are located in
the very early project phase and
that major changes are possible,
both in the conceptual design
phase and in subsequent phases
of the project. The same answer
can be expected for all
subsequent phases up to the as
built project.
Namely, even in the construction
phase of the project, it is not
expected that all BIM models of
disciplines are perfectly
coordinated and do not have the
slightest collisions (Zero clash
model), as it often happens that
changes occur on the
construction site due to
unforeseen circumstances -
justified or unjustified. The BIM
multidisciplinary model of the
construction phase of the project
can be said to be the "liveliest"
and to be the one to experience
the most changes. It also requires
daily coordination due to the high
cost of every mistake on the
construction site and so on until
the construction is performed
satisfactorily. In the end, we can
conclude that an ideally
coordinated BIM multidisciplinary
model is expected only in the
as-built project, which is also an
excellent basis for the model of
the digital twin of the building.
And what is the connection
between BEP, investors, savings
and coordination? Well, the
answer is simple and I am going
to give it through a practical
example. Suppose a scenario
where an investor in BEP stated
that in the main project the
frequency of VDR - Virtual Design
Review is once a week. This
exposes the investor to
unnecessary additional costs, as
It may not be necessary, but I
am going to mention that the
digital twin model of the
constructed building and the
ownership of it should most
often be the ultimate goal of
the investor.
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each discipline designer and the
BIM Manager himself will add the
cost of too frequent
multidisciplinary BIM
coordination meetings to the
project price. Also, there is no
significant progress in project
terms at VDR, especially in the
early project stages to benefit
from frequent VDR on a weekly
basis.
Therefore, it is common practice
to organize VDR every two to
three weeks and as the project
progresses to the next phases,
VDR becomes more frequent.
Since the frequency of VDRs is
most often the responsibility of
BIM Manager and each project is
a story for itself, I would not give
me the freedom to give a strict
recommendation on the
frequency of VDRs, but would
leave the decision to the BIM
Manager or BIM Consultant.
By Optimizing BIM
Elements LOD, The
Investor Achieves
Big Savings
This conclusion does not require
much explanation. If you read the
article "What Is LOD - The Level
Of Detail Of BIM Elements?", I
believe you could easily conclude
that, the higher the LOD of BIM
elements, the more demanding it
is, both from the BIM modeling
perspective and from the
perspective of generating data
and information related to BIM
elements, so we come to the very
simple conclusion that the more
demanding the LOD of BIM
elements, the model
development will require more
resources, and this will result in a
more expensive BIM model for
the investor.
Very often, to explain this
conclusion, I take the BIM
element - the elevator car as an
example. Let's look at the BIM
model of the elevator car in the
BIM context and what you need
to know about it. It is good to
know the dimensions of the
elevator car, for the FM model
and for the digital twin model it is
good to know the basic geometric
information, but also information
related to regular and
extraordinary elevator servicing. I
consider all additional
information related to the
detailed geometry of the elevator
completely unnecessary because
apart from the visual effect, they
have no practical application
from a BIM perspective.
Let's ask ourselves why it is
necessary to go into the very
detailed geometry of the elevator
car when in the model it only has
the role of "information holder"
for service information? Okay, I
have to admit that it's nice to see
a perfect digital replica of an
elevator car, but someone has to
pay for it, the investor in this
case. Often in BIM models, we
find very detailed models of
certain BIM components. The
most common reason for this is
that they can be downloaded
from the websites of equipment
manufacturers completely free of
charge. If the perfectly modeled
elevator car reached the BIM
model in that way, it is quite okay
to see it in the BIM model,
because making such a digital
replica of the elevator car is not
expensive and is cost-effective for
both the designer and the
contractor, as well as the
investor.
I hope that after this short and
simple example of the elevator
car, you came to the conclusion
that it is not necessary to model
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all the elements in the BIM model
in great detail if they are used
only as "information holders", as
such an approach saves time and
money to the designer,
contractor and the investor as
well.
By Optimizing CDE
(Common Data
Environment), The
Investor Achieves
Great Savings
This conclusion is perhaps the
most significant because it
explains to the investor how in a
very simple way he can achieve
full control over the entire BIM
project process. In short, a
common BIM project
environment usually involves
working in the cloud. During my
career, I used the Autodesk BIM
360 platform the most and it
allows all participants, and most
of all the investor, complete
control over the BIM project
process.
In such a BIM project
environment, all BIM models of
disciplines are located on the BIM
360 cloud and are available to
authorized persons participating
in the project, both for virtual
verification of BIM models and
for verification of data and
information.
which greatly helps in the early
stages of the project and in the
process of finding the most
optimal solutions for all
participants in the BIM project
process.
I will give you much more
information about the common
BIM project environment and BIM
360 platform in one of my
following articles.
At the very end of this article, also
at the very end of the series of
articles about BEP, I would like to
make a short summary of this
topic.
BEP is a necessary document of
every BIM project and its purpose
is to regulate and arrange the
relations between the designers
of disciplines, contractors and
investors. Based on my
experience, it is most logical for
the investor to be engaged and
responsible for the preparation
and development of the BEP,
because it brings the most
savings to him. If the investor is
not able to compile a valid BEP or
has no experience in it, it is the
best to hire a professional BIM
Manager or BIM Consultant for
such work, who will carry out all
activities on the BEP
development and control the
implementation of BEP
requirements in the investor’s
interest.
This would also conclude the
article "The Big Savings BEP
Brings To The Investor" and my
view on how BEP, as the most
important BIM document, can
help us establish automation of
BIM project process in all phases
of BIM project process, then
optimize multidisciplinary
coordination and finally improve
the implementation of the entire
BIM project process.
At the same time, I would like to
take this opportunity to
announce my next article "Data Is
The New Gold, Does The Same
Apply To Data In Digital Twins?".
If you have any questions,
comments or want to know more
details about the topic I covered
in the article "The Big Savings BEP
Brings To The Investor", please
contact TeamCAD, who will be
pleased to give you additional
information.
Until the next article,
Predrag Jovanović
The multidisciplinary BIM model
is also located on the BIM 360
cloud, all BIM models of
disciplines are linked, so BIM
multidisciplinary coordination is
always and at any time possible,
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Data Is The New Gold, Does
The Same Apply To Data In DT?
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN THIS ARTICLE I AM GOING
TO COVER THE TOPIC “DATA
IS THE NEW GOLD, DOES
THE SAME APPLY TO DATA
IN DIGITAL TWINS?”.
HAVE YOU HEARD THAT THE
DATA IS THE NEW GOLD OR
NEW BLACK GOLD?
If you take a good look at the
image above, you are going to
admit that these claims come
from very competent portals and
from very competent companies
and institutions. The claim that
data is new gold raises many
questions, as information and
data in themselves have no
material or market value, such as
gold or oil. Therefore, we must
keep in mind that when claiming
that data is "new gold", we do not
mean comparing the market
value of information and data on
the one hand and gold on the
other, but something completely
different.
Namely, during the development
of the human civilization, gold
imposed itself as the most
reliable form of preserving the
value of property and capital,
because, until the seventies of
the last century, gold was the
basis for the entire money supply
on the planet. Practically, every
banknote on the planet had a
base in the gold bars of central
banks around the world, and that
is what still gives gold great value
today and makes it a very reliable
form of preserving the capital
value.
But how to compare the value of
information and data with the
gold value? In which way to
compare them?
I think we can easily compare the
value of information or data and
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the gold value if we compare the
potential they carry with
themselves.
If we know that gold has a limited
price, where the factor that limits
the value of a gram or ounce of
gold is its current price on the
international market, the
information or data has no such
limitations and its value is
measured by the potential
benefit that the information or
data provides to its owner.
him for a lifetime." Therefore,
data and information have a
supreme value and their value is
much greater than anything
material, even gold itself.
I am of the opinion that, precisely
because of the views expressed
in the previous part of the article,
there are today's comparisons of
the value of information, data,
and thus skills on the one hand
and the value of gold on the
other.
are based not only on 3D
geometry but on something
much larger and more valuable -
on their majesty information and
data.
Below, I m going to try to support
the above thoughts and attitudes
related to the potential and value
of information and data in digital
twin technology and answer
some of the questions that, I am
sure, arise for every reader of this
article:
If we add that information and
data as an integral part of data
science, along with digital twin
technology, are one of the main
hopes of the fourth industrial
revolution, the high value of
information and data becomes
more than obvious to us.
You have probably heard the
saying of the Chinese philosopher
Confucius: "Give a man a fish,
and you feed him for a day.
Teach a man to fish, and you feed
If we now return to the world of
BIM technologies and digital
twins and look at the value of
information, data, and skills from
that perspective, we come to the
true meaning of today's popular
claim that "data is the new gold".
Although this claim stems from
Data Science, it is absolutely
applicable to today's BIM
technologies (Building
Information Modelling) and
digital twin technologies, which
• Why is data so valuable in
digital twin technology?
• How to generate data in the
digital twin model in the most
efficient way?
• How to efficiently process data
in a digital twin model?
• How to visualize data most
efficiently?
• How to turn the data in the
digital twin model into concrete
savings?
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It is also important to note that
currently the cheapest option
obtained based on data from
various digital simulation tools,
using digital twin technologies,
does not always mean the
cheapest option during a certain
period of a facility operating in
the real world.
Why Is Data So
Valuable In Digital
Twin Technology?
As you could read in one of my
previous articles "What Are The
Digital Twins?", we defined digital
twins as a digital replica of
physical data, processes, systems,
and a digital simulation of reality
that can be used for a variety of
purposes.
This practically means that we
can test a digital replica of a
real-world object for various
dynamic influences without any
damage to the physical object
itself and make perfectly
objective decisions based on
comparing different results
obtained from simulations in
digital twin models.
If we take into account that
simulations on a digital replica of
real-world objects can be done an
unlimited number of times and in
different variants, the information
and data generated from the
various options and solutions
considered allow us great
savings. Also, the data allow us to
make decisions based on data
obtained from simulations, ie.
Data-Driven Decisions.
For example, if the designer's
criterion is to choose the
cheapest chiller for the investor,
without considering energy
consumption during his work as a
very important criterion in
choosing building equipment, the
investor would achieve certain
savings in the first years of
operation due to lower costs of
purchase and chillers installation,
but in the following years, the
chiller operation would lose
significant funds due to higher
consumption of electricity for
heating and cooling, and thus
higher expenditures to pay the
bills for consumed electricity.
I hope that with the help of a few
previous examples I gave you an
idea of why the data are
generated by different
simulations and processed in
order to optimize operating costs,
very valuable in digital twin
technology, and have great
potential to bring significant
savings to the investor.
Of course, one of the important
parameters in digital twin
technology is the way in which
information and data are
generated, processed, and
visualized, which you are going to
find out more about below.
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How To Generate
Data In The Digital
Twin Model In The
Most Efficient Way
In Order To Achieve
Savings?
When we talk about the most
efficient way to generate data in a
digital twin model, we must
consider that there are two
typical scenarios:
• Data generated during the BIM
project process,
• Data generated during the
operational use of the facility and
the equipment installed in it.
In the first case, when we
generate data during the BIM
project process, the most
efficient way of collecting data is
good communication in project
teams of different disciplines on
the project, timely data exchange
between disciplines in the BIM
project process, BIM project
process automation and BIM data
exchange, and then
implementation of different
digital simulation tools within
digital twin models generated
based on BIM models in different
phases of the project process.
When we talk about the data
generated during the facility
operational use, things are a bit
more complicated. It is often the
case that we do not have access
to any data from the BIM
discipline models, it is a very
common case that the investor
himself does not have a BIM
as-built model, and we are often
forced to invest great effort in
data collection. The fastest way is
to create BIM as-built models of
the different disciplines, and then
it is necessary to install different
sensors in the constructed
buildings, which would collect
data over a longer period of time.
The data collected in this way,
using the "Internet of Things", are
transferred to the digital twin
model for further processing and
analysis, and based on them, we
get the opportunity to optimize
the data obtained in the digital
twin model.
How To Efficiently
Process Data In A
Digital Twin Model?
Depending on the purpose for
which the digital twin model was
created, different tools can be
used to process the data in the
digital twin model in the most
efficient way. However, the data
processing methodology in the
digital twin model can be roughly
divided into:
• CFD (Computational fluid
dynamics) is a calculation of fluid
dynamics and is part of fluid
mechanics which takes numerical
analysis and structured data as a
basis for analysis to solve
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problems related to fluid
behavior in liquid and gaseous
state. CFD analysis has a very
wide application including forces
and moments on various digital
models, pressure in pipes caused
by substances in liquid and
gaseous state that are in the
pipes, explosion analysis,
simulation of motion and flow of
different types of particles,
temperature action, weather
simulation, the behavior of digital
models in the air tunnel, etc.
• Dynamo and Python are digital
tools that are explained in detail
in the article "BIM Workflow
Automation". Here I would like to
avoid a more detailed description
of Dynamo and Python as digital
tools which, in addition to
automating the BIM project
process, have great application in
data processing in digital twin
models. If you want more
information about Dynamo and
Python, please select this link.
• Machine learning is a digital tool
that is defined as a sub-area of
artificial intelligence. Machine
learning is based on learning a
machine based on experience
and imitation of human actions in
certain repetitive circumstances.
Simply put, machine learning is
based on observing the actions
that a person performs when he
encounters a certain typical
problem. After a certain number
of repetitions, the program that
"monitors a person" learns and
adopts the algorithm of human
behavior and takes over the
execution of the same operation
that he learned by "monitoring a
person".
Given that artificial intelligence is
still not able to make very
complex decisions and see the
problems that arise with data
generated by different
simulations, I think we still can
not talk about the massive and
implied use of artificial
intelligence as a digital tool for
process simulation in digital
twins.
How To
Visualize Data
Most Efficiently?
After we have collected relevant
data, then processed them and
obtained parameters from
various calculations and results
that can help us optimize the
digital twin model, there is a need
to visualize the obtained data in a
clear and acceptable and
understandable way. It should be
borne in mind that, when we act
from the perspective of the
service provider to the client, we
must take into account that the
information we provide to the
client at meetings, where to
decide on certain changes in the
project or built facility, is easy to
understand. It often happened to
me to present data at the
meeting which, although relevant
and that would bring savings to
the client, would not be accepted
because I did not format them in
a way that is easily understood by
the client, who does not
necessarily have to be of
engineering or technical
profession. That is why, in my
opinion, data visualization is just
as important as the accuracy of
data generated by different
methodologies, because the data
must be as simple to understand
as possible.
I will give you a couple of
examples:
• During the preparation for the
meeting with the client, it was
necessary to prepare and present
data on the physical
characteristics of steel beams in
the platform model. It was
necessary to give the profile of
the steel beam, the upper
elevation of the steel beams, and
show the client all steel beams
longer than 6.0 m due to the
specific transport requirements
and the limited space for the
construction of the steel
platform. The required data
would traditionally be presented
using multiple drawings. It would
be necessary to mark the upper
elevation of each steel beam, to
tag each steel beam and
dimension the drawing of steel
beams to present the required
data in an appropriate traditional
way. But why not do something
like this - directly from the Revit
model without any drawings,
doesn't the construction model
look simpler and easier to
understand?
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• Using sensors in an already
constructed building,
temperature measurements were
performed in each room during a
one month period. After data
transfer via the "Internet of
Things" and processing of the
obtained data, the average
temperature in each room was
obtained during a predefined
time interval. The obtained data
indicated that the average
temperature in some rooms
deviated from the expected
values predicted by the project. In
this case, the lower temperature
than predicted in the project was
an obstacle for the tenant of the
business space to achieve full
comfort. To more easily present
the measured data, the data
obtained from the sensors were
visualized in a digital twin model
using the Power BI data
visualization program.
• Using sensors on the bridge,
vibration data was collected
during regular traffic. According
to the project documentation
made following the norms from
1975, the bridge needed to be
reconstructed. The client turned
to us to check whether it is
possible to postpone the
reconstruction of the bridge for
some time if the current norms
are respected. Instead of the
classical approach, where we
would do static calculations
according to existing norms,
sensor data and measured
vibrations showed that, with
minimal interventions where only
one sensor showed higher
vibrations than the prescribed
norms, it is possible to postpone
bridge reconstruction for at least
seven years. If we take into
account that the bridge is located
near the port, which has very
intensive ship traffic, the client is
provided with great savings,
because it was not necessary to
close the port during the
two-month minimum works on
the reconstruction of the bridge.
I hope that based on the previous
examples you saw the need to
visualize the data in the digital
twin model in the simplest
possible way and that the whole
point in the story about the data
in the digital twin model is that
each participant in the project
process easily and simply
understands data through a
maximally simplified
representation using the various
visualization software solutions
available to us today.
How To Turn The
Data In The Digital
Twin Model Into
Concrete Savings?
We have come a long way in
being able to turn the data in the
digital twin model into concrete
savings for the client.
First, it was necessary to generate
relevant data, then process them
in a valid way and finally visualize
them in a way that is easily
understood by the client.
In the case of buildings that are
now the subject of the project
and that are done according to
current standards, the best
advice is to do periodic
simulations in digital twin models
during the project process.
Today, the biggest problem are
buildings that were already built
in the middle and end of the last
century.
What should be especially kept in
mind is the fact that the price of
energy has jumped enormously
in the last couple of decades,
which makes older buildings very
energy inefficient.
Most often, energy efficiency is
the main reason for investing in
constructed buildings.
The technology of digital twins
and the application of digital
simulation tools provides us with
great opportunities to achieve
significant savings for the client
by improving the energy
efficiency of constructed facilities.
Estimates based on previous
experience are that without any
investment in the purchase of
new equipment in the building,
i.e. only by optimizing the turning
the heating on and off, cooling,
water heating, lighting, etc., the
minimum savings that an
investor or tenant can achieve is
5% of the energy price which the
investor or tenant pays without
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optimizing the energy efficiency
of the building.
So, only in that segment of the
building life cycle, enormous
money could be saved on an
annual basis.
If we add to that the predictability
of the expenditure on the
maintenance of the building and
the equipment built into it
through data collection using
sensors, "Internet of Things" and
other tools provided by digital
twin technology,
I think it is more than clear to any
reader what the savings is
possible to achieve with the help
of digital twin technology and on
objective Data-Driven Decisions.
This concludes the article "Data Is
The New Gold, Does The Same
Apply To Data In Digital Twins?"
and my view of whether
information and data in digital
twins are the new gold, as is the
case with information and data
within the data science. At the
same time, In the next article we
will look into more interesting
stuff - "Sensors and IoT in The
Digital Twin Technology".
If you have any questions,
comments, or want to know more
details about the topic I covered
in the article "Data Is The New
Gold, Does The Same Apply To
Data In Digital Twins?", please
contact TeamCAD, who will be
pleased to give you additional
information.
Until the next time,
Predrag Jovanovic
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Sensors and IoT In
The Digital Twin Technology
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN THE PREVIOUS ARTICLE
„DATA IS THE NEW GOLD,
DOES THE SAME APPLY TO
DATA IN DIGITAL TWINS?",
I DEALT WITH DATA IN
DIGITAL TWINS IN GENER-
AL AND TRIED TO EXPLAIN
THEIR VALUE AND
POTENTIAL. I HOPE I HAVE
BEEN ABLE TO PROVE THAT
WITHOUT DATA IN DIGITAL
FORM, GENERATED
DURING THE BIM PROJECT
PROCESS OR AFTER THE
BUILDING CONSTRUCTION
OR OBJECT MAKING, WE
WOULD NOT BE ABLE TO
CONSIDER THE POTENTIAL
OF DIGITAL TWIN TECH-
NOLOGY AVAILABLE
TODAY.
When we consider the data
generation process and its
processing in the digital twin
model, two scenarios are the
most common:
1. Digital twin model created by
the transformation of the BIM
model,
2. Digital twin model of an
already existing object (building,
plane, car…).
When we consider the first
scenario, I am sure that the vast
majority of readers are familiar
with the workflow of how to
transform data from the BIM
model into digital twin data.
So, we have a situation that from
one digital format we convert the
data generated for the needs of
the BIM project process into the
data of the digital twin model.
From the point of view of the
process of data generation and
processing, this scenario does not
seem so complicated.
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data-related processes can be
roughly divided into:
• Data collection;
• Data storage;
Data analysis;
• Data visualization;
• Decisions and actions based on
the results of data analysis.
Unlike the first scenario, the
digital twin model of an already
existing object seems a bit more
complicated. First, in order to
convert an existing object from
the real world into a digital twin
model, it is necessary to make a
BIM as-built model of the
constructed object and add
parameters from the real world
to such a model. Then sensors
and IoT (Internet of Things) come
on the scene, which transfers
relevant data measured by
different sensors to parameters
and components in the digital
twin model. Let me mention right
away, I am going to discuss this
scenario in today's article. But
let's go back to His Majesty first -
the data.
To make sure that all the
processes related to data will be
completely clear to every reader
of the article, let's look at the data
in the digital twin model from the
perspective of data science.If we
start from the point of view that
there is no essential difference
between data in data science and
data in digital twin technology,
Given the fact that a detailed
consideration of all data-related
processes would be very difficult
to fit into one article, my
intention in today's article is to
consider in detail the data
collection process in digital twin
technology of constructed
facilities, while in future articles I
will consider other data-related
processes.
Data Collection
Assuming that the reader of
this article is completely clear
about the way data is
generated in the BIM project
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process, I am not sure that it
is completely clear to
everyone what the purpose of
sensors and IoT is and how
they support digital twin
technology.
In order to help readers better
understand the role of
sensors and IoT in digital twin
technology, I will provide
answers to the following
fundamental questions
regarding data collection in
digital twins:
• What are the sensors?
• What are sensors used for
and what is their purpose?
• What is IoT (Internet of
Things) and what is IIoT
(Industrial Internet of Things)?
• What is the connection
between the sensor and the
IoT?
• How and where to store the
collected data from the
analysis sensor?
What Are The
Sensors?
In digital twin technology, sensors
are defined as digital devices,
which artificially represent certain
sensations that are defined in
biology as senses. With the help
of sensors, various information
and data from the environment
can be collected for the purpose
of their further processing and
analysis.
The main role of the sensor is to
perform various measurements
for the influences from its
environment, in given time
intervals, and to convert physical
data from the real world into
digital data, which are further
analyzed and result in great
savings for investors and clients.
The purpose of using the sensor
is to, by constant or periodic
measurements at predetermined
intervals, measure all changes
and events that are defined as
valuable for observation. The
data thus collected is later
converted into digital data for the
purpose of data processing and
analysis.
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The number of sensors around
us is constantly increasing, due to
the potential savings that sensors
can bring. In addition, the sensors
provide us with a lot of valuable
data and parameters from the
real world that can be used for
various purposes.
It is difficult to define all the
parameters from the real world,
which can be measured using
sensors because the technology
is advancing very fast, so I run the
risk of failing to list some
important parameters from the
real world that can be measured
with sensors. ut, I am going to list
some very important parameters
from the real world that today
can be measured and converted
into digital parameters for further
use in digital twin technology.
Namely, sensors are most often
used today to measure the
following parameters from the
real world: temperature
measurement, motion
registration, location and
movement registration, pressure
measurement, sound or noise
level, humidity, voltage, vibration
measurement, etc.
From the listed parameters that
sensors can measure, it can be
concluded that sensors can be
applied in different industries
and for a large number of
purposes.
What Are Sensors
Used For And What
Is Their Purpose?
Have you heard of the "smart
house"? It is understood that the
house itself cannot be smart or
intelligent, but it is made smart
by devices equipped with
different sensors that provide
input data, which are further
processed and based on the
processed data, certain decisions
are made and different actions
are taken. A system that makes
different decisions and applies
actions can be autonomous or
based on a human decision, but
the basis for making any decision
and action, whether made
autonomously or based on a
human decision, is based on data
from various sensors set in a
“smart house ". How does it all
work together?
Take, for example, that for
optimal working conditions, it is
necessary to provide a brightness
of 400 flux and a temperature of
25 degrees Celsius at the table at
which the student is sitting, who
is preparing for an exam in a
certain field of Data Science.
The student is sitting at a desk
and is not able to accurately
assess, based on human senses,
whether the brightness at his
desk is 400 flux or the
temperature is 25 degrees
Celsius. If we know that the
assessment of brightness and
temperature can be done by
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sensors instead of the student,
we will be sure that it is possible
to provide the student with ideal
conditions for preparing for the
exam.
However, I hope you will agree
with me that, without taking into
account energy efficiency in
creating optimal conditions for
the student, an autonomous
system that makes different
decisions and takes actions will
not make the best possible
decision.
For example, if the student
studies during the day and the
sun illuminates the table with
which he sits and prepares for
the exam, the autonomous
system for making various
decisions and actions will not
automatically turn off the light
and increase cooling, if such a
decision involves more energy to
create optimal conditions for
student learning.
Perhaps by lowering the blinds
and creating artificial shade, to a
level to which the student's desk
will have a brightness of 400
fluxes and at the same time
reducing the cooling, an
autonomous system for making
various decisions and actions can
provide the required criteria for
optimal student comfort.
I hope that this extremely simple
example gave you an idea of the
role of the sensors in data
collection.
The sensor purpose in the "smart
house" is to provide us with data
that will provide the most optimal
required comfort conditions after
data processing, taking into
account various parameters, of
which in my opinion the most
important is energy efficiency
and energy savings, not only for
money savings but also due to
environmental reasons and
meeting the criteria set by the UN
Convention on Sustainable
Development Goals (SDG) that
you can see on the previous
page.
And besides the "smart houses",
with which I tried to give you an
example of the complexity of not
only collecting data through
sensors but also the way
different decision-making
systems and procedures make
their decisions, where else are
sensors used?
I am going to list only some fields
in which sensors are most used
today:
• Informatics;
• Car industry;
• Airplane industry;
• Construction industry;
• Process lines;
• Conveyor belts.
At the very end of this chapter, I
must say that this article was
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written in mid-2020. I believe that
in five years, given the beginning
of the application of 5G
technology and the beginning of
the fourth industrial revolution,
the list of areas where sensors
are used is going to look much
different and that the list of areas
of sensors application, which I
have listed in this article, is going
to be much longer.
What Is IoT (Internet
Of Things) And What
Is IIoI (Industrial
Internet Of Things)?
IoT (Internet of Things) can be
defined as a system of
interconnected digital devices,
connected computer devices,
mechanical and digital
machines that transmit
information through a unique
system of identifiers. IoT
enables transferring data over a
network without the need for
human-human or
human-computer interaction.
IoT is a digital tool that allows
unlimited transmission,
conversion to the desired
format, and reading various
data and information from
sensors.
With IoT, we are able to
permanently record different
readings and measurements
from different sensors.
Constant measurements and
readings allow us to predict
events and to act in such a way
as to prevent unwanted events
that await us in the future.
IoT can also be considered as a
medium that transmits data,
information, and alerts from
various sensors that monitor
certain behaviors, processes,
and properties of the objects
that are the subject of
observation.
IoT is the hope of achieving
greater energy efficiency in the
future than is the case today
and the longer life cycle of
various products. IoT also
enables greater automation of
the various decision-making
systems.
Not so far in the future,
Machine Learning will, to a
much greater extent, replace
the need for human
decision-making with the often
recurring needs for simple
decision-making.
IIoT (Industrial Internet of
Things) can be defined very
similarly to IoT, but the
essential difference between
IoT and IIoT is that IIoT is
primarily applied in industry
and industrial products.
In practice, IIoT can be
considered an IoT whose focus
is on optimizing industrial
production and extending the
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life cycle of manufactured
industrial products.
What Is The
Connection
Between The Sensor
And The IoT?
All devices connected to the IoT
are equipped with different
sensors. Sensors built into various
devices are able to send data to
the IoT using WiFi or some other
network. We can say that IoT is a
digital tool or medium that enables
the data exchange of all devices
whose sensors have collected data
and which are connected to IoT.
However, consistent application of
sensor measurements and data
storage using IoT creates a
problem that, after an enormous
amount of data, there are
difficulties in data processing, so
the frequency of reading data
becomes a very important factor in
data processing, which I am going
to write about in one of the
following articles.
How And Where To
Store The Collected
Data From The
Analysis Sensor?
In answering this question, it
should be borne in mind that IoT
and sensors collect an enormous
amount of data on a daily basis. By
applying constant sensor
measurements and exchanging
data via IoT, the problem of how in
the most optimal way to store
such a large amount of collected
data arises very quickly. The
solution to this problem is offered
by cloud solutions, which, in
addition to the data storage
infrastructure, also offer digital
tools for processing data collected
with the help of sensors and IoT.
There are different solutions to the
problem of data storage and
processing in cloud solutions and I
am going to give many more
details about them in the following
article.
This concludes the article “Sensors
and IoT in The Digital Twin
Technology” and my view of how
sensors and IoT contribute to data
generation in the digitalv twin
technology. At the same time, I
would like to take this opportunity
to announce my next article
"Storing And Availability Of Digital
Twin Model Data - Are The Forge
And The Cloud The Best
Solutions?".
If you have any questions,
comments, or want to know more
details about the topic I covered in
the article “Sensors and IoT in The
Digital Twin Technology”, please
contact TeamCAD, who will be
pleased to give you additional
information.
Also, if you need advice on how to
best apply digital twin technology
or you want to apply digital twin
technology to your project or
constructed facility, please contact
TeamCAD, who will be happy to
help you.
Until the next time,
Predrag Jovanovic
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Storing And Availability Of
Digital Twin Model Data
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
LET’S SEE, ARE THE FORGE
AND THE CLOUD THE BEST
SOLUTIONS?
IN THE PREVIOUS ARTICLE
„SENSORS AND IOT IN THE
DIGITAL TWIN TECHNOLO-
GY", I DEALT WITH THE
TOPIC OF COLLECTING
DATA USING SENSORS AND
IOT (INTERNET OF THINGS).
I HAVE DEALT WITH THE
TOPIC OF DATA GENERA-
TION DURING THE BIM
PROJECT PROCESS IN
MANY PREVIOUS ARTICLES,
FOR EXAMPLE, "ADVANCED
BIM DATA MANAGEMENT",
"BIM WORKFLOW AUTO-
MATION", "DATA MAN-
AGEMENT OF THE DIGITAL
TWIN OF THE BUILDING",
ITD
I THINK THAT WITH THE
PREVIOUSLY MENTIONED
ARTICLES I HAVE ROUNDED
OFF THE TOPIC OF DATA
COLLECTION SO THAT IN
TODAY'S ARTICLE WE CAN
CONSIDER FURTHER DATA
PROCESSING IN THE DIGI-
TAL TWIN MODEL.
Regardless of the way the data is
generated, whether during the
BIM project process or using
sensors and IoT, the question
arises how to store this data and
make it available to all interested
project participants at any time
during all phases of the project,
but also during life cycle of the
constructed building. Therefore,
in today's article, I am very
intensively going to discuss the
BIM project process, digital twin
technology, cloud and the
Autodesk Forge platform, so I am
going to define these terms at the
very beginning of the article.
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• BIM is a project process that
relies on 3D data-rich model,
which serves as a starting point
for design within disciplines, as
well as for multidisciplinary
cooperation in all contracted
phases of the project. Also, it can
be said that BIM technology is the
starting point of every digital twin
model and that it is actually BIM
(that is a 3D data-rich model) the
basis for the transformation of
the BIM model into a digital twin
model.
• Digital twin technology is a
technology that relies on a digital
replica of physical data,
processes, systems and digital
reality simulation, which can be
used for various purposes.
• Cloud is a technology that relies
on external servers that are
accessed via the Internet, which
can contain various model
formats, databases, software
solutions for data processing and
analysis, etc. The key advantage
of cloud technology over the
traditional approach of storing
data on internal servers is that an
enormous amount of data can be
stored in the cloud and that the
data in the cloud is available to all
project participants in the way it
is agreed and regulated by a
protocol on data access between
different participants in the
project. In the construction
industry, cloud solutions enable
the continuity of application of
the BIM technology and the
digital twin technology from the
conceptual solution and all
subsequent phases of the project
until construction, and then
during the maintenance of the
constructed building throughout
its life cycle.
• Autodesk Forge is a web service
application-based platform,
which enables the integration of
SaaS solutions (Fusion Team, BIM
360, etc.) into the user's workflow
and / or the installation of some
of the components used in these
Autodesk user solutions for web
or tablet and smart phones.
Having defined the technologies
that we are going to consider the
most in today's article, let's return
to the data. To make sure that
every reader of the article is
going to be completely clear
about all the processes related to
data, let's look at the data in the
digital twin model from the
perspective of data science. If we
start from the point of view that
there is no essential difference
between data in data science and
data in digital twin technology,
data-related processes can be
roughly divided into:
• Data collection;
• Data storage and availability;
• Data analysis;
• Data visualization;
• Decisions and actions based on
the data analysis results.
Given the fact that a detailed
consideration of all data-related
processes would be very difficult
to fit into one article, my
intention in today's article is to
consider in detail the process of
storage, availability and analysis
of data in digital twin technology,
while in future articles I am going
to consider other processes
related to data.
Data Storage And
Availability
Storing data, at first glance,
seems like a very simple process.
Anyone familiar with the BIM
project process will immediately
think that storing data is
assigning values and data to
certain parameters in the BIM
model.
However, the problem of data
storage and availability becomes
much more complex if we look at
the BIM project process and the
transformation of the BIM model
into a digital twin model from
different perspectives of the
participants in the project
process. As we know, when we
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involves their exchange between
different designers of disciplines
in a certain time interval, defined
by BEP (BIM Execution Plan), in a
way enables an orderly exchange
of information and data between
the participants in the project.
talk about the BIM project
process, we usually have the case
that the participants in the
project process are the designers
of the discipline, the contractor,
the investor and the legal entity
engaged in the maintenance of
the constructed building. Their
view of the BIM project process,
as well as the transformation of
the BIM model into a digital twin
model, and the availability of data
and information in the digital
twin model are very different.
Therefore, I think it would be
good to consider each of the
mentioned views below:
• Data Storage And Availability
From The Designer’s Perspective
• Data Storage And Availability
From The Contractor’s
Perspective
• Data Storage And Availability
From The Investor’s Perspective
• Data Storage And Availability
From The Facility Manager’s
Perspective
• How does the cloud solution
help with data storage and
availability?
• How does the Autodesk Forge
platform help with data storage
and availability?
Data Storage And
Availability From The
Designer’s
Perspective
In digital twin technology, similar
to the BIM workflow, data can be
viewed in two ways. When we
consider data in the BIM model
or in the digital twin model, it can
be intended for different
calculations within the project of
a certain discipline, then for
different simulations and
predictions of how certain digital
objects will behave in the real
world, etc.
But, we must not lose sight of the
fact that the BIM model or the
digital twin model must also be
intended for exchange with other
disciplines in the project. So how
do you best place them in the
BIM model or in the digital twin
model and make them available
to all participants in the project
process?
The current traditional approach
of exchanging BIM models or
digital twin models, which
However, a major problem in
such an approach to the project
process is that changes made by
a particular discipline in its BIM
model or digital twin model are
not available to all project
participants at the time they are
made.
This further implies that it is
possible for an architect, for
example, to make certain
changes in his BIM model, to
even inform other participants in
the project, but that these
changes may be visible in the BIM
model or digital twin model only
in a few days, when all
participants in the project
process exchange their models
and data in them.
I have found myself countless
times in a situation where my
project team was informed that
certain changes would occur in
the BIM model or the digital twin
model, which created big
problems for us in terms of
disrupting the design dynamics of
the discipline I was part of and
questions whether to continue
designing until an updated BIM
model or digital twin model
arrives.
When we talk about the problem
of storage and availability of data
in BIM models of all participants
in the BIM project process, cloud
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technology seems to be the best
solution. Such an approach
allows all discipline designers to
see changes in discipline models
at agreed intervals in a quite
simple way.
When we talk about cloud
technology, it is possible to work
in a live model, where all changes
in the models of disciplines can
be seen by simply updating the
linked models.
This makes the project process
much more dynamic and
intensive in the early stages of
the project, but such an approach
has the key advantage in
providing all project participants
with much better project
solutions in the early stages of
the project and results in a much
more optimal project solution at
the end of the project life cycle.
Data Storage And
Availability From The
Contractor’s
Perspective
In considering the placement and
availability of data from the
contractor’s perspective, things
seem simpler than is the case
with the storage and availability
of data during the project
process.
The traditional approach meant
that the contractor took the
graphic documentation from the
designer and then created his
brand new BIM model or a digital
twin model tailored to his needs.
From the point of view of the
continuity of the project process,
the moment when the contractor
entered the project usually
meant the interruption of the
previously mentioned continuity
of the project process. Practically,
all data generated during the
earlier project phases, from the
conceptual solution to the tender
phase of the project, lose their
value and the contractor
completely ignores the generated
model and start to make his
completely new BIM model for
construction.
The problem with this approach
is that the investor, who paid the
designer to create the BIM model
of the tender project phase, now
pays the contractor, who
re-creates the BIM model for his
needs.
The investor can prevent this
problem if the BEP defines the
criteria of the BIM model tender
project phase, which would be of
sufficient quality and meet the
needs of the contractor to the
extent that the contractor will not
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make a completely new BIM
model for his needs.
When we consider the
contractor's interest in using
cloud technology, I think that
such an approach is far more
efficient for both the contractor
and the investor, since we must
keep in mind that the most
common case is that we usually
have contractors and many
subcontractors in the
construction.
Thus, the conclusion is that
during the construction of the
building, ie. during the
construction phase of the project,
there are identical reasons as in
the previous part of the article,
which recommend cloud
technology as the best solution
for cooperation between
different participants in the
project process from the
conceptual solution and all
following phases of the project
until construction, and then
during maintenance, throughout
its entire life cycle.
Data Storage And
Availability From The
Investor’s
Perspective
On the storing and availability of
data from the investor's
perspective, I don't think I'm
wrong to say the following - if I
were an investor or his
representative, I would insist that
all project phases - from the
conceptual design and all
following phases of the project to
construction and maintenance of
the constructed building during
its entire life cycle, they work in
the cloud. Why?
So if you go back to the very
beginning of the article and read
the definition and possibilities of
the cloud solution, it will be clear
to you why I made such a claim.
The cloud solution provides to
the investor insight into the
entire project documentation at
any time of the entire project life
cycle. During the various phases
of the project before the
construction of the building, the
investor has an insight into the
complete project process and can
see all the problems that occur
during the design. When we talk
about construction, if the investor
has regulated in a good way with
BEP the transition from the
tender phase of the project to the
construction phase, there will be
no need to create a completely
new BIM model or digital twin
model for the contractor. Finally,
after the building is built, the
facility manager can take over the
BIM model or the digital twin
model by the contractor at the
end of the design phase of the
completed building. This will
again relieve the investor in
financial and organizational
terms and enable him to
continue to supervise all phases
of the project life cycle and the
life cycle of the constructed
building. Practically, complete
documentation during any phase
of the project process, then
during the construction of the
facility and finally during the
maintenance of the full
functionality of the facility using
digital twin technology and cloud
solutions make the investor sure
to hold all the ends of the project
life cycle.
Data Storage And
Availability From The
Facility Manager’s
Perspective
When considering the storage
and availability of data from the
perspective of a facility manager,
we must take into account that it
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How Does The
Cloud Solution Help
With Data Storage
And Availability?
I hope you have come to your
own conclusions about how the
cloud solution helps with data
storage and availability by
reading the previous chapters.
appears at the very end of the
project process and that its tasks
are significantly different from
other participants in the project
process.
In addition to the necessary
repairs to maintain the full
functionality of the building and
care for the full comfort of
building users, modern
technologies allow the facility
manager to document every
change in the building in a digital
twin model, but also to store all
documentation related to certain
activities during the maintenance
of the facility.
Also, modern technologies allow
the facility manager to be more
active in proposing different
solutions to the user of the
building using digital twin
technology.
The question arises - where to
store all the documentation for
the facility maintenance, the
digital twin model and how to
provide the user of the building
with full insight into all the
documentation related to the
building maintenance?
It seems to me that the cloud
solution again imposes itself as
the best option, because it
enables complete transparency
of all data and documentation
related to the facility
maintenance.
I am going to present the most
obvious advantages of creating a
project in the cloud during the
entire project life cycle, from the
conceptual solution and all the
following phases of the project all
the way to construction, and then
during the maintenance of the
constructed building throughout
its life cycle.
We can say that the cloud
solutions application in the
project process is the best
available project environment
because they are characterized
by:
• Cost-effectiveness, because
they save resources to all
participants in the project;
• Transparency of all processes
and always available
documentation during all project
phases;
• The possibility for the investor
to have an insight into the project
status at any time during the
project life cycle;
• Reliability of data generated in
the cloud solution
• Access to data, BIM models and
digital twin models from the web
or applications for tablets and
smartphones;
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• Constant backups, and thus the
reliability of the entire
documenting process of all
project activities;
• Freedom to provide visibility of
models and documentation to
different participants in the
project process…
How Does The
Autodesk Forge
Platform Help With
Data Storage And
Availability?
Unlike the cloud solution, which
can be considered as an
environment for collaboration
during the project process,
Autodesk Forge imposes itself as
the best platform in case you
need to make a web BIM model
or a web version of the digital
twin.
The capabilities of the Autodesk
Forge platform are limited solely
by the imagination of the team
making the digital twin model on
the Autodesk Forge platform.
Autodesk Forge allows a large
number of users to access the
digital twin model in a web
format and does not require
much knowledge of digital and
BIM technologies.
applications or smartphone and
tablet applications.
Virtually all information from the
BIM model and digital twin
models can be transferred to a
web model built on the Autodesk
Forge platform, the digital twin
model can be completely
disassembled into components
and all data related to each
component in the model is
available in such a representation
of the digital twin model.
A key advantage of the Autodesk
Forge platform is data
transparency for users who do
not require extensive knowledge
of digital and BIM skills. Simply
put, a web model built on the
Autodesk Forge platform enables
Revit functionality in a web model
without any knowledge of Revit.
Want to learn more about the
Autodesk Forge platform and its
capabilities? Visit the following
links:
http://bit.ly/2MZJ8Me
http://bit.ly/3d38ELb
https://bit.ly/3aTADdL
I would like to conclude this
article containing my opinion on
which today-available solutions
are the best for storing and
availability of data in the digital
twins technology.
I would also like to take this
opportunity to announce my next
article "Analysis And Visualization
Of Data In Digital Twin
Technology - Cloud and Autodesk
Forge".
If you have any questions,
comments or want to know more
details about the topic I covered
please contact TeamCAD, which
will be pleased to provide you
with additional information.
Also, if you need advice on how
to best apply digital twin
technology or you want to apply
digital twin technology to your
project or constructed facility,
please contact TeamCAD, who
will be happy to help you.
Until the next time,
Predrag Jovanović
The Autodesk Forge platform
enables the integration of SaaS
solutions (Fusion Team, A 360,
BIM 360, etc.) into the user's
workflow and / or the
incorporation of some of the
components used in these
Autodesk user solutions for web
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Analysis And Visualization Of
Data In Digital Twins Technology
AUTHOR: Predrag Jovanović, BIM Consultant
BACK TO CONTENTS
IN THE PREVIOUS
ARTICLE I HAVE TRIED TO
GIVE AN EXPLANATION
ABOUT THE OPTIONS TO
STORE DATA AND MAKE
THEM ALWAYS
ACCESSIBLE TO ALL OF
THE BIM PROJECT
PROCESS
STAKEHOLDERS.
JUST AS A REMINDER – I
HAVE COVERED THE
SUBJECT OF STORING
AND AVAILABILITY OF
DATA DURING THE BIM
PROJECT PROCESS IN A
COUPLE OF PREVIOUS
ARTICLES: “DATA
MANAGEMENT IN THE
DIGITAL TWIN OF THE
BUILDING”, “ADVANCED
BIM DATA
MANAGEMENT”, ETC.
I AM OF THE OPINION
THAT I HAVE ROUNDED
UP THE SUBJECT OF DATA
STORING AND
AVAILABILITY DURING
THE BIM PROJECT
PROCESS IN MY
PREVIOUS ARTICLES, SO
TODAY I WILL BE
CONSIDERING FURTHER
PROCESSING OF DATA IN
THE DIGITAL TWIN
MODEL.
No matter the source of
generated data, during the BIM
project process or coming from
sensors or IoT, the question is
how to analyze this data, how to
visualize and make them
available to all project
stakeholders, at any given
moment during all project
phases, but also during the
completed building project
lifecycle.
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After we have defined these
technologies that will be the
focus of today`s article, let us get
back to data. In order to be sure
that all of the readers will be
completely confident with all of
the processes associated with
data, let us look at the data in the
Digital Twin model from the Data
Science perspective.
Therefore, in today`s article, I
will be intensively focusing on
BIM project process, Digital
Twins technology, Cloud and
Autodesk Forge platform, and
project environments.
To start, I will define the meaning
of the mentioned terms:
• BIM is a project process that
relies on a data-rich 3D model,
serving as a starting point for
design in various engineering
disciplines, as well as for multidisciplinary
collaboration in all of
the project phases. Also, we may
say that BIM technology is the
basis of every Digital Twin model
and that in fact, BIM data-rich
model is the starting point of
transforming the BIM model into
the Digital Twin model.
• Digital Twins technology is the
technology that is based on the
digital replica of the physical
data, processes, and systems
and represents the digital
simulation of the reality that can
be used for various purposes.
• Cloud technology is relying on
the external set of servers that
can be accessed via the internet.
These can hold different model
types, databases, software for
data processing and analysis,
etc. The key advantage of the
Cloud technology compared to
traditional internal servers is
that the Cloud can handle an
enormous amount of data while
it is available to all stakeholders
in the way it is set up in the data
access protocol between the
project participants. In the
building and construction industry,
Cloud solutions enable the
usage continuity of the BIM
technology and Digital Twins
technology, from the conceptual
design throughout the following
project phases up to finished
construction, and afterward
during maintenance of the
building during its complete
lifecycle.
• Autodesk Forge platform is
based on the web service application
that enables the integration
of SaaS solutions (Fusion
Team, BIM 360, etc.) in user
workflow and/or implementation
of any components used in these
Autodesk user solutions for web
applications or mobile phone
and tablet apps.
If we take that there is no core
difference between the data in
the Data Science and data in the
Digital Twins technology, processes
connected to data can be
roughly divided in this way:
• Data collection
• Data storage and availability.
• Data analysis and visualization.
• Decisions and actions based on
the data analysis results.
Based on the fact that the
detailed consideration of all the
data connected processes would
very hardly fit into one article, my
intention in today`s article is to
precisely consider process of data
analysis and data visualization in
the Digital Twins technology,
while in the following articles I
will write about other processes
connected to data.
Data Analysis And
Visualization
No matter where was the BIM or
Digital Twin model data
generated, whether during the
BIM project process, by different
sensor measurements or by
using IoT, I believe that every
reader of this article is aware
that its analysis and
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visualization can be considered
as the key tool which enables us
to achieve considerable savings.
It is equally possible to save
during the BIM project process,
but also in the scenario when
we strive to optimize economic
and ecological aspect of building
exploitation.
But, Cloud and Autodesk Forge
platforms do not give us the
possibility of maximum
optimization only in the
industries in which we are used
to presence of BIM and Digital
Twins technology – like airplane
industry, shipbuilding,
construction, bio-mechanics,
etc.
Cloud based models using the
Autodesk Forge platform
enables us to, besides desktop
applications, make the
necessary analysis and
visualization of data in the
Cloud project environment, as
well as on the Autodesk Forge
platform.
When we want to analyze and
visualize the data from the BIM
or Digital Twins model, we can
use many tools and access
points, but in today`s article I
will focus on the most efficient
and mostly used data analysis
and visualization methods with
the potentially widest
application in various areas and
disciplines.
In the following part of the
article, I will address both
desktop solutions, as well as
Cloud solutions that give the
possibility of efficient BIM or
Digital Twins model data
analysis and visualization.
For the very end of this text, I
will write about Autodesk Forge,
as the platform where
everything is possible.
Mostly Used Tools
For BIM And Digital
Twin Model Analysis
And Visualization
Depending on the purpose for
which the Digital Twin model was
made, we can use different tools
that help us to process data most
efficiently in the Digital Twin
model. Despite mentioned, we
can roughly divide the Digital
Twin model data processing
methodology like so:
• CFD (Computational Fluid
Dynamics) is the calculation of
the fluid dynamics and it
represents part of the fluid
mechanics that as the basis of
the analysis considers numerical
analysis and structured data to
solve the problems connected to
fluid behavior in a liquid or
gaseous state. CFD analysis has
wide application including force
and force moments on various
digital models, pipe pressure
caused by matters in liquid and
gaseous state present in the
pipeline, explosion analysis,
motion and flow of different
particle types, temperature
impact, weather condition
simulations, the behavior of
digital models in air tunnel, etc.
• Dynamo is the digital tool that
is used for parametric
non-standard modeling,
generating of additional and
non-standard data for more
efficient calculations in the area
of BIM model, for processing,
manipulation and easier
visualization of generated data in
the BIM model, and for managed
data exchange between different
disciplines in the
multidisciplinary BIM project
process. Dynamo is the
programming language based on
the principle of visual
programming. The reason why it
is popular as a tool for BIM and
Digital Twin model data analysis
and visualization is that it is
integrated with the Autodesk
Revit platform and that there are
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no additional charges. It is easy
to learn and it does not require
big programming experience.
Huge advantage of including
Dynamo as the BIM project
process automatization is that,
once written Dynamo script that
processes data of a particular
logical group of the BIM project
process, can be used on an
unlimited number of projects,
gives great value and brings
significant savings to the project
stakeholders.
• Python is the object-oriented
programming language most
frequently used for generating,
transferring, analysis and
visualization of the BIM and
Digital Twins model data. Python
equally efficiently helps as the
Revit plugin (PyRevit) or as the
part of Dynamo scripts
integrated in the Dynamo
“Node”. What characterizes
Python is that it is the favorite
tool also in the Data Science,
system automation, API
development, etc. Also, the first
book, which was teaching
programmers about the Python
language was titled “Automate
the boring stuff”. This fact
maximally simplifies every
further explanation what is
Python used for in the domain of
automated analysis and
visualization of BIM data, in both
BIM discipline models and a
multidisciplinary BIM project
environment.
• Power BI is the digital tool that
in the very simple manner does
the analysis and visualization of
data, not just in the domain of
BIM and Digital Twins technologies,
but also in Data Science
wider contest. It has embedded
tools that very efficiently systematize
data from various sources
and environments, then put
them on their own platform,
which was intended for analysis
and visualization of data. Power
BI enables us also to more
efficiently address all the problems
from the data angle and to
make decisions in an easier and
safer way, but also act upon
them based on the data generated
in the BIM or Digital Twins
model. This platform is characterized
by a very simple user
interface and ease of learning
and analysis and visualization of
data.
• Machine learning is the digital
tool defined as the sub-discipline
of artificial intelligence. It is
based on machine learning
based on human experience an
impersonation of human activities
that repeat over time. To put
it simply, machine learning is
based on watching actions
performed by humans while
addressing the typical problems.
After a certain number of repetitions,
the program “overlooks
humans” while learning and
acquiring behavioral algorithms
and takes over the execution of
the same operation in the future.
The above mentioned tools are
the most powerful tools for
analysis and visualization of data
generated during the BIM project
process or by developing model
of the Digital Twin.
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Of course, there are many other
digital tools that are very useful
for successful analysis and
visualization of data, but, the goal
of this article is not representation
of all the possible tools for
successful implementation of BIM
project process automation.
My idea is to give you the idea in
what direction you should consider
when trying to find the best
digital tools for analysis and
visualization of data generated
during BIM project process or
during development of the Digital
Twin model.
The Best And The
Most Compact Tools
For Data Analysis
And Visualization In
The Cloud Solutions
When talking about the best and
the brightest, the most compact
Cloud tools for analysis and
visualization of data, generated
during the BIM project process or
development of the Digital Twins
model, we cannot go around
mentioning the following Cloud
solutions:
• BIM 360 is the Cloud solution
that can be considered the best
option at this moment for the
BIM project environment. Key
advantage of the BIM 360 Cloud
project environment is that it
provides the same project user
experience to all of the stakeholders
in the BIM project
process during all of the phases,
during the construction of the
building object, and finally during
the whole lifecycle of the completed
building during its
exploitation. Huge advantage
while working in BIM 360 project
interface is that it enables handover
of the BIM models during all
phases of the project, which gives
the investor huge savings and
consistency of the data throughout
the project lifecycle. Different
modules give insight in the
various types of data at any given
moment of the BIM project
process, where data is represented
in the very simple, understandable
manner. With additional
analysis and visualization of
the data it is possible to make
conclusions and decisions and
visualize them in the BIM 360
project environment, while
making everything available to all
of the stakeholders.
*REMARK: In the meantime
Autodesk BIM 360 has become
Autodesk BIM Collaborate Pro
• Fusion 360 is the Cloud project
environment very similar to the
BIM 360, but as the BIM 360 is
intended for the BIM workflow,
Fusion 360 is intended for
development and design of the
various products. It also, very
efficiently, supports iterations
during the design and virtual
testing of the object, product or
assembly. We can say that Fusion
360 is the most complete Cloud
project solution during all phases
of the development of products,
assemblies, industrial solutions,
etc.
• Configurator 360 is the Cloud
solution that gives the possibility
of development of any type of
product based on client`s needs.
Product that the potential buyers
can order in the Cloud
environment Configurator 360 is
based on component parts and
basically the potential buyer
configures the product it wants to
order, choosing between the
offered parts that the seller offers
on the Configurator 360 Cloud
platform. This Cloud solution has
a huge application in the
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furniture industry, parts and
components of complicated
systems and in many other
industries.
*REMARK: In the meantime
Autodesk Configurator 360 Cloud
Service is being retired at the end of
May 2021. It will be further available
through the Autodesk Forge API.
His Majesty –
Autodesk Forge
If you have carefully read the
description and possibilities of
the above mentioned Cloud
solutions I hope that you have
noticed that all three Cloud
options are connected by one
thing. Namely, all three Cloud
project solutions are
characterized by a mutual project
environment for all of the
stakeholders, transparency of the
generated data, compatibility of
different formats integrated on
one platform, access to data
generated during all project
phases for all participants,
possibility of analysis and
visualization of data in the
common project environment,
etc. Does it seem to you that all
three before mentioned Cloud
solution are based on the same
platform? If your answer is “YES!”
you have guessed it right.
BIM 360, Fusion 360 and
Configurator 360 are all based on
the Autodesk Forge technology
and practically represent
different variations of Autodesk
Forge intended for different
demands when considering
project environment and data
type that are processed during
the project lifecycle.
But, despite the similarities with
BIM 360, Fusion 360 and
Configurator 360, Autodesk Forge
platform gives the possibility of
making web models, where all
the functionality of the BIM or
Digital Twin model, on all levels,
including the analysis and
visualization level, remains
available to all users, despite the
fact that it changes the format
when transforming from BIM or
Digital Twin model to Autodesk
Forge model. In this way,
Autodesk Forge gives the top
level management an option to
see all of the advantages of the
BIM and Digital Twins
technologies, without additional
learning in an easy and simple
way. Web model generated on
the Autodesk Forge platform, in
this way, really enables all project
process stakeholders, to check
any segment of the model, piece
of data or current state of the
project, via web model, using a
desktop computer, tablet or
smartphone.
We can safely conclude, thanks to
the Autodesk Forge platform it is
possible to realize full
cooperation and collaboration on
all levels, between all
stakeholders in the project
process, in a very simple intuitive
way, without huge effort to learn
BIM or Digital Twins technologies.
Until the next time,
Predrag Jovanović
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A Digital Twin
Of A Shopping Mall
AUTHOR: Vladimir Guteša, TeamCAD Development Director
BACK TO CONTENTS
TEAMCAD ENGINEERS
WORKED ON THE
CREATION AND
DEVELOPMENT OF THE
FIRST DIGITAL TWIN IN
SERBIA.
SHOPPING MALL „SAD
NOVI BAZAAR“ IS
SITUATED IN THE
CENTER OF THE NOVI
SAD CITY, AT THE
BEGINNING OF THE
PEDESTRIAN AREA AND
IS CONSIDERED AS ONE
OF THE TOP SHOPPING
SPOTS.
THE BUILDING IS SPREAD
ON 4 LEVELS AND 9.000
SQUARE METERS OF
COMMERCIAL REAL
ESTATE.
"Sad Novi Bazaar"
Shopping Mall
Opened to customers in 1984
while being considered one of the
architectural jewels in former
Yugoslavia.
Company for architectural design
and engineering “ME.COM” from
Belgrade did a reconstruction
project in 2005. Responsible
engineer on the project was Ms.
Ksenija Bulatović, M.Arch. The
reconstructed object was
reopened in 2006.
Today, “SAD NOVI BAZAAR”
Shopping Mall is managed by
Mat-real Estate, part of Matijevic
company from Novi Sad.
Project Challenges
Some of the standard challenges
when managing this type of
objects were:
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• Providing energy efficiency of
the object and lower AC costs
• Having exact information about
the quantity and locations of the
equipment )(AC systems
elements, fire protection systems,
electrical installations…)
• Information about the
warranties, service intervals, life
expectancy for the
above-mentioned equipment.
• Real-time information about the
real estate renting possibilities
and vacancies for potential
commercial clients.
• In case that the clients adapt
rented space, they need to
promptly access information
about the movable and
immovable walls.
• In case of any changes in the
building or inside the building,
accordingly entering new data in
the 3D model and technical
documentation.
The additional challenge was the
fact that the original building was
designed by an architect Milan
Mihelič in the now distant 1972,
so there was no existing digital
documentation present.
Solution For The
Problem
As TeamCAD and Matijević
companies are successfully
cooperating for years, and event
Novi Sad branch office of
TeamCAD is situated in the
business part of the “SAD NOVI
BAZAAR” Shopping mall, we have
decided to continue our
partnership on this project as
well.
We have created the first phase
of the building`s Digital Twin
model and used several other
newest technologies, which
enable the user to view and move
throughout the Digital Twin
object, using just an internet
browser. There is no need
whatsoever to install any type of
3D software.
If you would like to take a walk
through the Digital Twin model of
the “SAD NOVI BAZAAR” Shopping
mall please click here.
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097
BIM Real Estate App
For Simplified Sales & Rentals
AUTHOR: Vladimir Guteša, TeamCAD Development Director
BACK TO CONTENTS
WHEN LOOKING FOR A
NEW PROPERTY,
WHETHER YOU ARE
BUYING OR RENTING IT,
DO YOU NEED MORE
INFORMATION THAN
WHAT IS OFFERED AS
STANDARD? DO YOU
WANT TO KNOW WHICH
APARTMENTS ARE
AVAILABLE?
OR DO YOU NEED
INFORMATION ABOUT
ROOM AREAS? DO YOU
WANT TO MEASURE THE
DIMENSIONS OF A
CERTAIN ROOM OR
ELEMENTS IN THE ROOM?
OR YOU JUST WANT TO
WALK AROUND THE
APARTMENT LIKE IN THE
FIRST-PERSON VIDEO
GAMES?
HAVE YOU, AS A PROPERTY
OWNER, THOUGHT ABOUT
HOW MUCH TIME YOU
WOULD SAVE IF THE
POTENTIAL CUSTOMERS
COULD FIND ALL NEEDED
INFORMATION IN ONE
PLACE?
Purchasing and
renting real estate
has become simple
As a response to all these, and
many other questions, TeamCAD
has developed The BIM Real
Estate (BRE).
BRE is a web app that contains
BIM 3D model made in Autodesk
Revit. Because it is a web app,
anyone who has internet
connection and internet browser,
could access the 3D model and
find out the information he wants.
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No Need For
Specialised Software
There is no need for any
specialised software solution, or
high performance hardware, if
you know how to use an internet
browser.
The first implemented building in
The BIM Real Estate app is
residential building in Đevđelijska
Street in Belgrade. The investor
of the building is GP
Zlatibor-Gradnja a.d., and the
architect is Ivana Milinković.
The BIM Real Estate app enables
the customer to experience the
property in 3D surrounding, in
first or third-person point of view
and to get certain information
about it.
Real-life Application
Some of the most important
advantages of The BIM Real
Estate app are availability of
information to all interested
parties and facilitated
communication between them.
By this we mean, for example,
the case when the customer
wants to know the dimension
between a wall and a column, to
check if he can put his
wardrobe there.
In some everyday, frequent
scenario, he would have to call
the owner, then the owner
would call the designer, and
then designer would check it a
project
documentation.
With the BIM Real Estate app
the customer has the possibility
to check it on his own.
We have developed and added
new features as a result of the
market research we have
conducted and constant
dialogue with the clients.
The following functionalities will
be very useful to the investors
and owners from the sales
management perspective, as
well as to the app users in the
area of improving their
browsing experience.
The Panoramic View
(360 Photography)
The BIM Real Estate App’s focus
is on data availability, at the
partial expense of view quality
in order to obtain the best
model loading speed. As we
wanted to make the best
possible experience for the
clients, we have implemented a
panoramic view in the app. With
a click of a button, the client
can activate the apartment’s
render or 360 photography in
the panoramic view.
If you would like to test this
new feature head to the BRE
App.
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Once it loads, click on the
“Show levels” button and
choose one of the floors.
This mode can be activated by
clicking on the “Panoramic
View” button (tool represented
by the eye icon in the main 3D
view window).
Rooms that contain the
panoramic view will be shaded.
By clicking on one of the rooms
you are opening the panoramic
view, whereby holding click and
moving your mouse you can
view the area in 360 degrees.
Statistics for Sales or
Rental Management
The second new feature in the
BIM Real Estate App was made
for the investors or owners of
the property. From the app
administrator or selling/renting
manager’s point of view, we
have added a part with the
statistics of available or
unavailable properties, and
with simple property status
management. It is a special part
of the app, available only to
users who have access to the
app’s backend for managing the
app.
From the “Info” tab, the investor
or owner of the property can
see the stats on (un)available
properties for each level or the
whole building.
Because of this feature, there is
no need for the implementation
of additional software solutions
for statistics.
From the “Status” tab, the
investor or owner of the
property can change the status
of the property from “available”
to “unavailable” or vice versa,
simply by choosing a certain
button. The properties are
grouped by status, which
increases the clarity of the view.
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The Most Popular
Units Stats
W e have implemented another
set of statistics, which represent
the most popular apartments
and floors in the building.
The building owner can see the
most wanted apartments or
floors, based on users’ choices,
which could in the end affect the
apartment’s price.
The App Features
• Real Estate 3D detailed view of the whole building or some specific parts
• Panoramic view of the room render or photography
• First or third person view
• Control the data presented
• Change the rental/sales status via your personalized back end app
• All the stats of the property rental/sale status are already available to you
• Use your own BIM 3D model or let us help you build it
• All parts of the 3D BIM model are measurable, let your clients or other
stakeholders plan the interior on their own
• Based on Autodesk Revit BIM models
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