A Practical Application Using Parametric Modeling for As-Built BIM Generation from Point Clouds
Publication: Construction Research Congress 2022
ABSTRACT
Physical 3D objects can be expressed as an abstracted format in digital space through parametrized profile. The idea of using object-based parametric modeling has been adopted in the Building Information Modeling (BIM) domain by reducing human labor efforts via digitizing conventional manual drawing-based 2D modeling into a computing-based 3D modeling. However, research efforts on the adoption of parametric modeling has been primarily placed on early design, while applications have been rare for generating an as-built BIM of existing structures. Thus, the main objective of this paper is to investigate viability of leveraging parametric modeling paradigm for generating as-built BIM from semantically segmented objects. Practical implementations are shown with a commercial parametric modeling software, Dynamo visual Application Programming Interface (API), which is adopted for constructing 3D parametric models within the Autodesk Revit BIM environment. Using the Stanford Large-Scale 3D Indoor Spaces Dataset (S3DIS) as baseline point cloud segments, a detailed set of modeling procedures is illustrated for three object categories which are grouped based on their parametric properties. Our study provides a stepwise advancement toward automating Scan-to-BIM, avoiding dependence on modeler experience for reconstructing an as-built 3D model from raw point clouds.
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Construction Research Congress 2022
Pages: 830 - 838
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Published online: Mar 7, 2022
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