基于激光点云的建筑管道工程BIM自动建模方法
Automated Building Information Modeling Approach for MEP Systems Based on Laser Point Cloud
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摘要: 本文针对建筑管道工程中BIM建模效率低、人工依赖度高等痛点, 提出一种创新的解决方案。首先, 通过激光扫描设备和虚拟引擎制作获取管道点云数据; 其次, 基于点云特征提取和实例分割方法, 建立针对不同管道类型的结构化差异拟合方法, 实现对管道几何参数的精准提取; 然后, 通过Revit API开发自动化建模插件, 实现从点云数据到BIM模型的高效转换; 最后, 以上海某大型在建体育场馆项目区域的一层管道系统为案例进行实验验证。结果表明, 该方法能够自动化生成精细化的机电管道BIM模型, 建模效率提升超80%, 几何精度满足LOD 300级别要求。本研究为建筑机电管道的智能化建模与运维提供了高效、精准的解决方案, 并可推广至其他复杂管线工程的数字化建模应用。Abstract: This study proposes an innovative solution integrating laser scanning and virtual engines to capture pipeline point cloud data. Using point cloud feature extraction and instance segmentation, a structured differential fitting approach tailored to pipeline types enables precise geometric parameter extraction. An automated modeling plugin developed via the Revit API converts point cloud data into BIM models efficiently. Experimental validation on a Shanghai sports stadium's first-floor pipeline system demonstrates over 80% efficiency improvement while maintaining LOD 300 accuracy. This research offers a precise and efficient solution for intelligent modeling and operation-maintenance of MEP systems, with broader applications in complex pipeline engineering.
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