The client is one of the leading companies in 3D laser scanning and BIM headquartered in London, UK. They approached HitechDigital for surface reconstruction and conversion of scanned data of an International broadcast centre into an intelligent BIM model. The client conducted a survey of the ‘As built structure’ and derived point cloud data via laser scanning. 185 GB of scanned data was provided, and a BIM with LOD 300 was requested.
Convert 3D scanned point cloud data of an international broadcast center into an information rich, intelligent BIM model, with LOD – 300
BIM experts resurfaced the point cloud models into 3D BIM (LOD-300), ready to be loaded with the required information.
- The client wanted us to detect and rectify errors in the point cloud with accurate BIM modeling within 24 days.
- The total data size provided by client was about 185 GB & to work with such heavy data files was really a difficult task.
- The input files were in the form of 3D scanned images in which few of the scanned inputs were not clear & some of the building data was missing due to improper scanning, leading to complexity of resurfacing and modeling.
- The building area was large and also consisted of complex steel structure.
- Modelers imported all the scanned images in Revit, and a model file was set up. 10mm accuracy modeling was done.
- The scanning was not up to the mark, however extra efforts were put in, flaws were mitigated and a the building data that was missing was virtually created, based on engineering assumptions and parametric images.
- The company communicated several project details, assumptions and requirements with the client and finally, successfully created an architectural and structural building information model.
- 3D Scanned images of International Broadcast center were resurfaced and converted into BIM, replete with all the architectural and structural details.
- 10 mm accuracy helped create error free and intelligent Building information models and LOD -30 was maintained.
- Project delivery done well within the deadline resulting in decreased overall project time.