基于激光点云的巷道变形监测及支护研究

    Research on Deformation Monitoring and Supporting of Tunnel Based on Laser Point Cloud

    • 摘要: 以王家塔煤矿201工作面开采为工程背景,研究三维激光扫描在井下巷道变形监测中及支护中的应用。井下复杂条件下,扫描仪有效扫描距离大幅减少,严重影响整体拼接精度,因此提出两期单测站点云配准并求取巷道顶底板形变的方法。结果表明:单测站点云配准方法精度达到毫米级,满足井下巷道变形监测的要求;巷道监测区域内顶板平均下沉量为14.70 mm,底板平均下沉量为0.283 mm,巷道形变表现出非均匀、非对称等特性;现支护方案下顶底板最大移进量和煤层采厚比值远小于规范要求,实际调查显示201及邻近202工作面开采结束后,该辅运巷仍未坍塌,巷道支护过强,观测结果与实际相符,建议后续开采支护强度可适当减弱。

       

      Abstract: Taking the mining of 201 working face of Wangjiata Coal Mine as the engineering background, the application of 3D laser scanning in the deformation monitoring and supporting of tunnel was studied. Under complex conditions in the mine, the effective scanning distance of the scanner is greatly reduced, which seriously affects the overall stitching accuracy. Therefore, this paper proposes a method for cloud registration of single test stations in two periods to obtain the deformation of the roof and floor of the roadway. The results show that: the cloud registration method at a single measurement site has millimeter accuracy and meets the requirements of underground tunnel deformation monitoring; in the monitoring area, the average subsidence of the roof is 14.70 mm, and the floor is 0.283 mm, and the deformation of tunnel shows non-uniform asymmetric characteristics; the maximum moving amount of the top and bottom plates and the thickness of the coal seam under the current support scheme are far less than the requirements of the specification. Actual investigation shows that after the mining of the 201 and adjacent 202 working faces, the tunnel has not collapsed, the support is too strong and the observation results are consistent with the actual situation. The mining support strength can be appropriately weakened.

       

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