GAO K Y,DU W B,CHEN J H,et al. Application research of OT technology combined with UAV LiDAR in surface subsidence monitoring of mining area [J].Journal of Henan Polytechnic University( Natural Science),doi:10.16186/j.cnki.1673-9787. 2023110010.

Received：2023-11-07

Revised：2024-02-04

Online：2024-03-07

Application research of OT technology combined with UAV LiDAR in surface subsidence monitoring of mining area（Online）

GAO Kuiying1，DU Weibing2，CHEN Jianhua1，YANG Bin2，ZHANG Hebing2，XU Zhao1，FENG Zhizhong1，ZHANG Wenzhi2

（1.Daliuta Coal Mine，China Energy Shengdong Coal Group Co.，Ltd.，Shenmu 719315，Shaanxi，China；2.School of Surveying and Land Information Engineering，Henan Polytechnic University，Jiaozuo 454000，Henan，China）

Abstract: Objective In order to give full play to the application value of different scale remote sensing monitoring methods in identifying surface deformation in 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.The differences of these two remote sensing monitoring methods at different scales are demonstrated by combining the ground observation station data. Results Taking the two-scene SAR images of Shendong mining area as an example，the main value of surface subsidence in the mining area is −3.8~0 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 is higher than that in the primary mining areas，and the subsidence in the areas with underground coal pillars is small，and the subsidence is concentrated in −1.17~0 m.In the area with small subsidence，the offset tracking technology has higher accuracy，while in the area with large subsidence，the UAV LiDAR technology has higher accuracy，and the subsidence coefficients obtained by the two are 0.61 and 0.72，respectively.The subsidence coefficient obtained by the UAV LiDAR is closer to the subsidence coefficient measured on the ground. Conclusion This finding could provide reference for large-scale and efficient mining subsidence monitoring.

Key words：high-intensity coal mining；offset tracking；UAV LiDAR；mining subsidence

CLC: TD353