• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

点云与BIM数据配准在施工进度检测中的应用

Application on Fusion of Point Cloud and BIM in Construction Progress Monitoring

  • 摘要: 通过倾斜摄影测量和机载LiDAR技术快速获取大范围建筑物施工现场点云数据,与BIM模型转换而来的三角网或三维点云类可读取顶点坐标信息的数据融合配准,比对施工现场的三维场景与BIM模型之间的差异,对施工进度进行检测。在某房屋建筑项目施工过程中,使用激光扫描的方式获取施工现场前后共三期的三维点云数据,并以二期和三期数据作为变化检测的焦点,比较两个阶段模型之间的体素变化,分析、识别并提取从二期到三期的新建部件,将变化检测结果清晰地标记在BIM模型上,精确识别施工进度变化。项目实际应用的结果显示,通过该方法检测项目施工的进度有助于项目管理人员做出更为准确及时的决策。

     

    Abstract: Point cloud data from large-scale construction sites can be rapidly acquired by oblique photogrammetry and LiDAR technology, which is then fused and registered with triangular meshes or 3D point clouds derived from Building Information Modeling contained readable vertex coordinate information. By comparing the 3D scene of the construction site with the BIM model, differences can be identified to monitor the construction progress. In the construction process of a certain building project, laser scanning was used to acquire three periods of 3D point cloud data from the construction site. The second and third periods of data were focused on for change detection. By comparing the voxel changes between the two stages' models, newly built components from the second to the third period were analyzed, identified, and extracted. The change detection results were clearly marked on the BIM model to precisely identify changes in construction progress. The practical application results of the project showed that monitoring the project' s construction progress through this method helps project managers make more accurate and timely decisions.

     

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