基于机载LiDAR点云C2C算法的矿山沉陷监测研究  

C2C algorithms based on airborne LiDAR dot clouds in the monitoring of mines

作　　者：姚顽强[1] 高康洲 郑俊良[1] 蔺小虎 薛志强 董志华 YAO Wanqiang;GAO Kangzhou;ZHENG Junliang;LIN Xiaohu;XUE Zhiqiang;DONG Zhihua(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China;Shaanxi Binchang Mengcun Mining Co.,Ltd.,Xianyang 713600,China)

机构地区：[1]西安科技大学测绘科学与技术学院,陕西西安710054 [2]陕西彬长孟村矿业有限公司,陕西咸阳713600

出　　处：《煤炭工程》2023年第4期162-167,共6页Coal Engineering

基　　金：国家自然科学基金资助项目(42201484)。

摘　　要：针对地表移动观测站和InSAR技术手段在矿山开采沉陷监测的局限性,利用机载激光雷达(Light Detection and Ranging,LiDAR)采集沉陷区三维点云数据,通过多时相点云构建地表数字沉陷模型(沉陷DEM),获取地表的移动变形特征。然而构建的沉陷DEM包含多种来源复杂且难以去除的噪声,限制了该技术在矿山开采沉陷监测的应用。提出将机载LiDAR点云直接比较的算法(Cloud to Cloud,C2C)进行矿山开采沉陷监测,以榆神矿区某工作面为研究区,将同期水准观测数据作为参考数据,并与三种主流点云插值算法构建的沉陷DEM进行对比,验证该算法的可行性和精度。结果表明,C2C算法能够快速获取高精度的沉陷值,其沉陷精度明显优于通过点云插值算法获取的计算结果,下沉曲线符合矿山开采沉陷的一般规律。该算法可以达到厘米级的精度,为矿山地表移动变形监测和生态环境修复提供了新的参考方案。To address the limitations of the surface movement observation stations and InSAR technical means in mining subsidence monitoring,the airborne LiDAR(Light Detection and Ranging,LiDAR)is used to collect 3D point cloud data in the subsidence area and construct a surface subsidence digital elevation model(subsidence DEM)by multi-temporal point cloud to obtain the mobile deformation characteristics of the surface.However,the constructed subsidence DEM contains multiple noise sources that are complex and difficult to remove,which limits the application of this technique in mining subsidence monitoring.An airborne LiDAR point cloud direct comparison algorithm(Cloud to Cloud,C2C)is proposed for mine subsidence monitoring.A working face in Yushen mining area is used as the study area,and the level observation data is used as the reference data,and the subsidence DEM is compared with three mainstream point cloud interpolation algorithms to verify the feasibility and accuracy of the algorithm.The results show that the C2C algorithm can quickly obtain high-precision subsidence values,and its subsidence accuracy is better than the calculation results obtained by the point cloud interpolation algorithm,and the subsidence curve conforms to the general rule of mine subsidence.The algorithm can achieve centimeterlevel accuracy,which provides a new reference solution for mine surface movement deformation monitoring and ecological environment restoration.

关 键 词：机载LIDAR 开采沉陷 HAUSDORFF距离 沉陷DEM 

分 类 号：TD325.4[矿业工程—矿井建设] P237[天文地球—摄影测量与遥感]