Abstract:In this paper, one type of ore stockpile point cloud identification and analysis method based on 3D laser scanning technology is proposed, taking the ore stockpile in underground drift as the research object. By analyzing the bucketing mechanism and the profile of the ore stockpile, one certain type of LHD is built with vehicle-mounted 3D laser scanning system. This system is used to 3D laser scan the ore stockpile to obtain the cloud data of these points, and such data is subjected to noise elimination, filtering and registration to guarantee their effectiveness and practicability. Finally, the boundary-based point cloud segmentation algorithm is used to separate the information of the points, thereby realizing the effective identification of ore stockpiles and also verifying the accuracy of this technology. This method has broad application prospects in engineering practice.