TeamCAD BIM eBook v2 ENG

• 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
JAN 2021
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