河南理工大学学报（自然科学版）2025，Vol.44Issue(1)：80-87,8.DOI:10.16186/j.cnki.1673-9787.2023110010
OT技术联合无人机LiDAR在矿区地表沉陷监测中的应用研究
Application research of OT technology combined with UAV LiDAR in surface subsidence monitoring in mining area
摘要
Abstract
Objectives In order to give full play to the application value of remote sensing monitoring at different scale in identifying surface deformation of high-intensity coal mining,Methods satellite image offset tracking and UAV LiDAR(Light Detection and Ranging)technology are used to obtain two typical subsidence areas and their parameters of the working face scale.The differences of these two remote sensing monitoring methods between these two different scales are demonstrated by combining the ground observation station data.Re-sults Taking the two-scene SAR images of Shendong mining area as an example,during the research period,the mining area was mostly located in the center of surface subsidence,with subsidence values ranging from-3.8 to 0 m by using the offset tracking technology.The UAV LiDAR technology can effectively identify the subsidence range and magnitude on the scale of the working face.The surface subsidence in the secondary and tertiary mining areas was higher than that in the primary mining areas,and the subsidence in the areas with underground coal pillars was relatively small,ranging from-1.17～0 m.Comparing and analyzing the difference between the differential data of unmanned aerial UAV LiDAR and satellite offset tracking results in two typical areas of the working face,the accuracy of the latter was higher in areas with smaller subsidence,while the accuracy of former was higher in areas with larger subsidence.The two subsidence coefficients ob-tained were 0.61 and 0.72,respectively,indicating that the subsidence coefficient obtained by UAV Li-DAR was closer to the measured subsidence coefficient on the ground.The subsidence coefficient obtained by the UAV LiDAR is closer to the subsidence coefficient measured on the ground.Conclusions This re-search results could provide reference for large-scale and efficient mining subsidence monitoring.关键词
高强度开采/偏移量追踪/无人机激光雷达/开采沉陷Key words
high-intensity coal mining/offset tracking/UAV LiDAR/mining subsidence分类
矿山工程引用本文复制引用
高奎英,都伟冰,陈建华,杨彬,张合兵,徐朝,冯志忠,张文志..OT技术联合无人机LiDAR在矿区地表沉陷监测中的应用研究[J].河南理工大学学报（自然科学版）,2025,44(1):80-87,8.基金项目
国家自然科学基金资助项目(U22A20620,U22A20620/003,U21A20108) （U22A20620,U22A20620/003,U21A20108）
河南省科技攻关项目(222102320306) （222102320306）
中国神华能源股份有限公司神东煤炭分公司委托项目(技术研究院 HT(2023)16号) （技术研究院 HT(2023）
