Inner Mongolia Yinhong Energy Development Co. , Ltd.
National Institute of Engineering and Technology for Coal Mining

为了快速、准确、全面监测煤矿高强度大规模开采引起的地表沉陷,以鄂尔多斯王家塔煤矿为例,采用无人机激光雷达(UAV-LiDAR)测量技术对该矿高强度开采地表沉陷进行监测,给出了数据获取及处理的关键技术及方法;通过对实测点云进行克里金插值得到地面点并建立地表DEM,多期DEM差分处理得到地表下沉盆地,联合中值滤波和双边滤波对下沉盆地进行去噪处理,最终得到高精度的下沉值。结果表明:该技术实测地表DEM精度为15mm,求出地表沉陷盆地模型中误差为36mm;可以快速获得丰富的地表数据,得到高精度的地表沉陷盆地信息。

In order to quickly, accurately and comprehensively monitor the surface subsidence and environmental damage caused by high-intensity large-scale mining, taking Wangjiata Coal Mine in Ordos as an example, UAV-LiDAR measurement was used to monitor the surface subsidence, and the key technical process of UAV-LiDAR monitoring was given. Ground points were obtained by Kriging interpolation on the measured point clouds and surface DEM was established. The surface subsidence basin was obtained by multi-stage DEM differential processing. The combined median filter and bilateral filter were used to denoise the subsidence basin, and finally the high-precision subsidence value was obtained. The accuracy of surface DEM measured by UAV-LIDAR is 15 mm, and the error of surface subsidence basin model is 36 mm. UAV-LiDAR technology can quickly obtain rich surface data and obtain high-precision surface subsidence basin information.

国家重点研发计划项目(2016YFC0501105);安徽省自然资源厅公益性项目(2021-g-1-7)

尹宏昌, 田 丰, 马海博, 等. 无人机激光雷达矿山开采沉陷监测研究 [J]. 煤炭工程, 2023, 55(8): 130-136.