Research on Point Cloud Deformation Detection and Visualization in Underground Coal Mine Tunnels
In order to solve the problems of discontinuity,low efficiency,and low intelligence level in tradi-tional deformation detection of underground coal mine tunnels,a new method of analyzing deformations by fusing depth cameras and LIDAR point clouds for three-dimensional space reconstruction is proposed.An algorithm for point cloud slicing and skeleton line extraction is designed,and a tunnel deformation detection model is estab-lished.Due to the complexity of processing three-dimensional point clouds and the difficulty of integrating algo-rithms,a visualization deformation monitoring software is developed based on Qt,which achieves human-ma-chine interaction design through signal-slot mechanism.Tests show that the system can automatically and contin-uously detect the whole region of the tunnel,with high deformation detection accuracy and good human-machine interaction of the software.
tunnel deformation detectionskeleton line extractionpoint cloud slicingQtvisualization
NETL
NSTL
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