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

被引:0
|
作者
Jiang, Boyu [1 ,2 ]
Fan, Liting [1 ]
Zhang, Yang [2 ,3 ]
Han, Yu [1 ,2 ]
Cheng, Zhongjiang [2 ]
机构
[1] Shenyang Jianzhu Univ, Mech Engn Sch, Shenyang 110168, Peoples R China
[2] Shenzhen Technol Univ, Sino German Coll Intelligent Mfg, Shenzhen 518118, Peoples R China
[3] Shenzhen Technol Univ, Mech Ind Key Lab Intelligent Robot Technol 3C, Shenzhen 518118, Peoples R China
来源
INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2024, PT III | 2025年 / 15203卷
关键词
Construction monitoring; Point cloud comparison; BIM technology; Naive bayes classifier;
D O I
10.1007/978-981-96-0795-2_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:167 / 184
页数:18
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