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作 者:陈年青 李得军 CHEN Nianqing;LI Dejun(Nanjing Institute of Surveying, Mapping and Geotechnical Investigation Company Limited, Nanjing Jiangsu 210019, China;School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou Jiangsu 221116, China)
机构地区:[1]南京市测绘勘察研究院股份有限公司,江苏南京210019 [2]中国矿业大学环境与测绘学院,江苏徐州221116
出 处:《北京测绘》2021年第8期1131-1135,共5页Beijing Surveying and Mapping
摘 要:矿区开采会导致工作面上方的道路下沉、倾斜等变形,产生道路塌陷、隆起等破坏现象,传统的地表沉陷监测方法具有工作量大、监测时间长等缺点,很难适应实时化矿区开采沉陷监测的需要。实验以某煤矿为例,结合三维激光扫描技术,提出了一种矿区道路沉陷区监测方法。首先布设道路路面外业扫描方案,获取道路沉陷区三维点云数据;然后利用插值得到各期数字高程模型(Digital Elevation Model,DEM),进行差值得到各点位下沉值;最后使用反距离加权法对下沉数据栅格化处理得到道路下沉模型。将三维激光扫描监测值与对应的实测水准数据对比分析得出,点位误差在1cm以内,验证了该方法的可行性。Mining may cause subsidence and slope deformation of the road above the working face,even more serious phenomena such as road collapse and uplift.The traditional surface subsidence monitoring method has disadvantages such as large workload and long monitoring time,which is difficult to meet the needs of real-time mining subsidence monitoring.Taking a coal mine as an example,combining with 3D laser scanning technology,a monitoring method of road subsidence area in mining area was proposed.Firstly,a 3D laser scanning field scanning scheme was set up to obtain 3D point cloud data of road subsidence area.Then the Digital Elevation Model of each period were obtained by interpolation,and the difference value was calculated to the subsidence value of each point.Finally,the road subsidence model was obtained by rasterizing subsidence data with inverse distance weighting method.Through the comparison and analysis of the monitoring value of 3D laser scanning and the corresponding measured level data,the point position error was within 1cm,which verified the feasibility of the method.
分 类 号:P258[天文地球—测绘科学与技术]
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