Rendering Optimization of Building Information Models Based on Occlusion Culling

Taiping Jiang (), Shixiang Huang () and Zhilian Yan ()
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Taiping Jiang: Anhui University of Technology, School of Computer Science and Technology
Shixiang Huang: Anhui University of Technology, School of Computer Science and Technology
Zhilian Yan: Anhui University of Technology, School of Electrical and Information Engineering

A chapter in Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), 2025, pp 358-368 from Springer

Abstract: Abstract The application of Building Information Modeling (BIM) technology in the field of construction engineering has become increasingly mature, and its practical application on construction sites is closely related to lightweight models. However, BIM involves high complexity and contains large amounts of geometric data, leading to inefficient rendering on the web. To address this issue, this paper proposes an occlusion culling algorithm based on scene management. The algorithm employs an octree spatial data structure to manage the model, then creates bounding boxes according to the constructed octree. A ray-casting algorithm is used to analyze all the bounding boxes, ultimately identifying and culling the occluded regions. Experimental results show that the algorithm effectively reduces the geometric data to be rendered without affecting the model’s accuracy, thereby improving the scene rendering speed and demonstrating the algorithm’s effectiveness.

Keywords: Building Information Model (BIM); Occlusion Culling; Spatial Mesh Division; Model Rendering (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-656-7_35

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