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The incorporation of geographical data gives building information modelling structures a greater context and makes them more aware of their setting and infrastructure, among other things.
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Applied Technology Review | Friday, August 27, 2021
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The incorporation of geographical data gives building information modelling structures a greater context and makes them more aware of their setting and infrastructure, among other things.
FREMONT, CA: While Building Information Modelling’s (BIM) goal is to offer information for designing and building numerous unique structures like roads, bridges, and airports, Geographic Information System (GIS) is in charge of the proper planning and operation of these structures. GIS data can supply BIM with a wealth of geospatial information that can influence the building's orientation, construction materials, and location, among other things.
Between the two, there is a huge difference in scale. BIM focuses on designing and constructing a single structure simultaneously, whereas GIS works on a much larger scale, such as regional, city, and country levels. The incorporation of geographical data gives BIM structures a greater context and makes them more aware of their setting and infrastructure, among other things.
Data redundancy can be reduced or eliminated by transferring data seamlessly between GIS and BIM. Better designs and even less capital spent on the building process result from integrating geographical context to BIM. It would be much simpler for stakeholders to maintain that data and repurpose it several times without having to convert it over and over again if GIS and BIM data could live in the same cloud. The use of GIS and BIM integration can be done in a variety of ways. Still, one thing is clear: including spatial dimension into today's information-rich building process would improve overall project efficiency in various ways.
What Are the Advantages of Combining GIS And BIM For Cities and Facilities?
It is not uncommon for communities to face numerous sustainability and resiliency concerns when it comes to roads, bridges, and other infrastructure. To even attempt to address this, all of these structures would require better designs, which would necessitate the optimization of data flow between BIM, CAD (computer-aided design), and geospatial data from GIS.
The ability to situate a digitally designed construction project in its actual geographic location minimizes most of the risk involved in designing and building a new road or bridge. There is also the reality that huge infrastructure projects spend the majority of their time on numerous assessments, such as economic, social, environmental, and other effect categories.
Engineers and planners can access things like floodplain maps, underground utilities, and other geospatial data thanks to GIS's geographic data. Teams may dramatically reduce the time required for these assessments by including this type of information into the process, which benefits all parties involved.
That is not just true during the construction phase; BIM and GIS integration has an equal impact on structures that have already been erected. The customer can reuse the data several times throughout the structure's lifetime if they have the whole model that was used to design it rather than simply a set of manually constructed post-construction data.