We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于无人机激光雷达技术的开采沉陷 监测方法与参数反演.
- Authors
亓立壮; 安士凯; 田超; 周大伟; 董祥
- Abstract
Mining subsidence monitoring and prediction is very important for coal production safety. At present, the mainstream means of mining subsidence monitoring have certain limitations, and there is a problem that the accuracy and efficiency can not be both. UAV lidar technology can be used to quickly acquire 3D point cloud of mining area surface and establish multi-phase digital elevation model (DEM). The subsidence basin can be obtained by subtraction of two periods of DEM, it has the characteristics of high efficiency and precision. The principle process of unmanned aerial vehicle lidar (UAV lidar) surface subsidence monitoring and the in, version method of probability integral prediction parameters were analyzed and discussed. Taking Tangjiahui coal mine in Inner Mongolia as an example, the flight scheme of UAV lidar was designed, the two phases of laser point cloud data were collected, and the measured data were combined, solved, fused and filtered to establish two phases of DEM. The subsidence basins in the observation period were obtained, and the dynamic parameters of the whole basin were inversed. The results show that the accuracy of DEM is 34 mm and 37 mm respectively. The accuracy of subsidence basin is 50 mm. The results are relatively reliable for coal mining subsidence monito, ring and prediction, and provide a case for UAV lidar application in surface monitoring.
- Publication
Science Technology & Engineering, 2022, Vol 22, Issue 12, p4752
- ISSN
1671-1815
- Publication type
Article