3D reconstruction of point cloud data is the research focus at present, but there isn’t a universal 3D reconstruction method for point cloud data which is scattered topology structure. At the same time, 3D reconstruction method of point cloud data also exist many problem, such as: 3D modeling efficiency is low, 3D reconstruction model exist holes, 3D model isn’t quite true. To solve these problems in 3D reconstruction of point cloud data, this paper provides a 3D reconstruction method for laser spiral scanning point cloud, the 3D reconstruction method which has high efficiency, true model and retains model details can solve the problem of 3D reconstruction .To verify the effectiveness of algorithm, this paper choose a set of spiral point cloud which will be sorted and optimized, finally these point cloud data have been transferred into 3D expected solid model which will provide a good basic for future usage of point cloud data.
Serious geological hazard such as the roof fall、rib spalling、closure deformation of the cavity can exert bad influence to
mine, even threaten human life. The traditional monitoring ways have some disadvantages, which are difficulties in
obtaining data of the cavity, monitoring the unmanned cavity and calculating volume of the cavity accurately. To solve
these problems, this paper describes how to develop a high precision 3D laser scanning system, which enables scanning
the cavity rapidly, obtaining the same resolution point cloud, calculating volume of the cavity, marking the deformation
area correctly and providing visualized environment. At the same time, this device has realized remote control
functionality to avoid people to work on the underground. The measurement accuracy of the 3D laser scanning system is
±2cm. The 3D laser scanning system can be combined with the mine microseism monitoring system to help with the
estimation the cavity’s stability and improve the effect of cavity monitoring.