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Journal of Graphics ›› 2023, Vol. 44 ›› Issue (5): 1034-1040.DOI: 10.11996/JG.j.2095-302X.2023051034

• BIM/CIM • Previous Articles     Next Articles

A comparation method of BIM model based on the shape context description of contour key points

LIU Jian-xiu1,2(), SU Wen-zhe1,2, SU Zhi-dong1   

  1. 1. PowerChina Zhongnan Engineering Co. Ltd., Changsha Hunan 410140, China
    2. Hunan BIM Engineering Technology Research Center, Changsha Hunan 410140, China
  • Received:2023-02-23 Accepted:2023-05-24 Online:2023-10-31 Published:2023-10-31
  • About author:LIU Jian-xiu (1986-), senior engineer, Ph.D. Her main research interests cover BIM research and digital engine development. E-mail:jxliu2014@163.com
  • Supported by:
    Hunan Province High Tech Industry Science and Technology Innovation Leading Plan(2022GK4009);A-Level Scientific Research Project of Power China Zhongnan Engineering Co. Ltd.(2-2021-04667)

Abstract:

Throughout the entire lifecycle of a project, changes in requirements, participants, and operating conditions often result in frequent modifications to BIM models. The workload for model review is significant, and the foundation of this review process lies in identifying the differences between different versions of the model. For structured information in the model, a text-based comparison approach could be utilized. In terms of unstructured geometric information, a method of shape context description based on contour key points and surface description points was proposed in the paper. Firstly, this method obtained the model contour line through calculation, and then collected the model feature descriptions through uniform sampling of contour lines and uniform sampling of surface Poisson disks. Finally, a quantitative comparison was conducted on the statistical feature of the model. Compared to the current mainstream random sampling methods, the proposed method not only provided a stable description of the model with fewer sampling points, thus improving the contrast efficiency, but it was also highly sensitive to changes in the model structure. At the same time, it could resist the impact caused by curved surface subdivision or simplification. The proposed method was experimentally validated on some non-standard components of a hydropower project, demonstrating outstanding performance in terms of model differentiation comparison.

Key words: model, version comparison, contour lines, key points, uniform sampling

CLC Number: