Experts working with a South Korean research institute claim to have developed a cost-effective method for reverse engineering 3D scan data into building information modelling (BIM) systems.
An international team working with Dr Kang Tae-wook, a research fellow at the Korea Institute of Civil Engineering & Building Technology (KICT), has developed building scan to BIM-based reverse engineering; a technology required for 3D geospatial information modelling domains such as digital twin systems.
According to the institute, existing reverse engineering work is either done manually, or semi-automatically, using “expensive overseas software”. The team chose to study the scan-to-BIM approach to prevent errors and rework caused by such manual work when modelling shapes or BIM from 3D scan data.
Kang said: “Currently, scan to BIM reverse engineering automation technology is difficult to specialise for each purpose in construction, and the cost for the AEC (architecture, engineering, and construction) industry to utilise the technology is also high.
“The recently developed scan to BIM technology will greatly help AEC domestic industrial competitiveness.
Along with Kang, the international joint research team included professor Jonghoon Kim, University of North Florida; professor Kyubyung Kang, Purdue University; professor Dan Koo, IUPUI; and professor Jongseong Brad Choi, the State University of New York.
Together, they developed scan to BIM technology customised for each reverse engineering purpose based on accumulated 3D vision, deep learning, and data processing pipeline technologies.
This technology automatically segments objects from 3D point cloud data, extracts shape information, and creates BIM objects. Through this, the time and rework needed to carry out the creation of the information model for digital twins is said to be dramatically reduced.
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