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As the construction industry progresses and develops, construction inspection of the built environment plays a vital role in the success of a building project. This paper introduced a building construction quality monitoring method that combined building information modeling and LiDAR point cloud technology. The method first collected the point cloud data of the building environment, and preprocessed point cloud data including removing outliers and alignment; then, the point cloud generated by the BIM model was compared and analyzed with the actual point cloud to obtain the relative relationship between the two point clouds; finally, the results were determined by a Naive Bayes classification model to assess the construction quality. This method provided a complete set of solutions for construction quality verification, and promoted the construction industry to move towards intelligent and precise management.

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A Novel Building Construction Inspection Method Based on Naive Bayes Model by Fusing BIM and Lidar Point Cloud

  • 会议论文

  • 发表日期：

    2025年

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  • Boyu Jiang,
  • Liting Fan,
  • Yang Zhang,
  • Yu Han,
  • Zhongjiang Cheng

摘要

As the construction industry progresses and develops, construction inspection of the built environment plays a vital role in the success of a building project. This paper introduced a building construction quality monitoring method that combined building information modeling and LiDAR point cloud technology. The method first collected the point cloud data of the building environment, and preprocessed point cloud data including removing outliers and alignment; then, the point cloud generated by the BIM model was compared and analyzed with the actual point cloud to obtain the relative relationship between the two point clouds; finally, the results were determined by a Naive Bayes classification model to assess the construction quality. This method provided a complete set of solutions for construction quality verification, and promoted the construction industry to move towards intelligent and precise management.