Automatic Identification of Rock Structural Planes Based on LiDAR Point Cloud Data and Discontinuity Set Extraction
With the continuous development of engineering projects in areas with complex geological conditions and the rapid development of 3D laser scanning technology,LiDAR point cloud data has become an important means of obtaining geological information in the field of geological en-gineering.This article aims to use LiDAR point cloud data combined with the method of extracting rock discontinuity to achieve automatic recogni-tion of structural planes.It takes a pumped storage exploration adit as an example.First,SLAM handheld LiDAR technology is used to obtain three-dimensional point cloud data of the rock mass.Then,image processing techniques such as point cloud mapping redirection,denoising,and registration are used to process the original point cloud.Then,DSE software is used for feature extraction and classification of the structural sur-face.Finally,the recognition results are compared with the compass measurement results.The results indicate that this method can effectively i-dentify different types of structural planes and is more efficient than traditional methods,requiring fewer staff.The automatic identification method proposed in this article provides a new technical means for rock structure analysis,which is of great significance for improving the safety and effi-ciency of operations under complex environmental conditions.
Lidarrock structural surfacediscontinuity set extractionautomatic identification
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