What is Scan to BIM or Point Cloud to BIM ?

What is Scan to BIM or Point Cloud to BIM ?

Building Information Modelling (BIM) has become one of the most promising developments in the architecture, engineering, and construction (AEC) industries, and fundamentally it is changing the way the construction industry works. In recent years, the industry has shifted from traditional two-dimensional drawings, drafts, and designs to 3D visualizations. And worldwide has adopted the BIM concepts and technologies of Building Information Modelling and there is an upward demand for the digitalization of the existing building stock.

“Scan to BIM (popularly known as Point Cloud to BIM) referred to the process of 3D laser scanning a physical space or site, to create an accurate digital point cloud of the structure and using scans BEM software, bridge the gap between a separate digital point cloud and one that can be used inside the Autodesk Revit platform. That representation can then be used for designing, assessing progress or evaluation options.”

Scan to BIM is a technology that came as a breakthrough in the construction industries as it is accelerating rapidly as it provides a faster, captures dimensions, volume quickly, efficiently, a highly detailed and accurate structural profile for capturing survey data critical for refurbishment or retro-fitting existing projects.

Point clouds resulting from scan data are massively powerful for analysis on their own. Converting scan data into BIM models is customarily a three-step process: First, from different scanning stations, multiple scans are captured from. Second, data from multiple scanning stations is stitched together in what is commonly known as the post-processing or registration stage. Next, CAD or BIM software can be used to author object models while referencing the point cloud.

It is clear that Scan to BIM is the future of AEC industry and produces high definition scanning has practical, time (faster than 2D drawings) and cost-saving applications especially at the initial stages of repositioning projects and increase the accuracy of project information.

Author: Anisha Khatun