TeamCAD BIM eBook v2 ENG

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
076 TeamCAD BIM
JAN 2021