煤矿安全2024，Vol.55Issue(6)：228-235,8.DOI:10.13347/j.cnki.mkaq.20231206
西部矿区多煤层采动地表沉陷无人机观测方法研究
Study on UAV observation methods for surface subsidence caused by multiple coal seams mining in western mining areas
崔建廷 1王昆 2刘国建 1张俊阳 2杨地 1赵同彬 2李俊生1
作者信息
- 1. 鄂尔多斯市昊华精煤有限责任公司,内蒙古 鄂尔多斯 017000
- 2. 山东科技大学 能源与矿业工程学院,山东 青岛 266590
- 折叠
摘要
Abstract
In the western mining area,coal mining is characterized by shallow burial depth,thin bedrock,multi coal seam mining,and a fragile surface environment.To address the limitations of traditional observation methods for mining-induced subsidence,such as small coverage,high operation intensity,and low automation,unmanned aerial vehicle(UAV)photogrammetry technology has been introduced to observe and analyze the surface subsidence patterns of a coal mine working face.The results show that:the UAV photogrammetry method achieves a centimeter-level observation accuracy,with a median error of 4.4 cm,which meets the overall observation requirements for surface subsidence.A surface subsidence model of the entire mining area within a 2.53 km2 survey area was obtained using the UAV photogrammetry method.This model accurately reflects the subsidence area and amplitude of the sur-face in the mining area.Due to the influence of multiple coal seams mining,the surface subsidence model exhibits an uneven basin shape.The subsidence curves along the strike and dip of the working face show asymmetry,with a maximum subsidence value of 3.18 m.关键词
无人机观测/摄影测量/地表沉陷/多煤层开采/西部矿区Key words
unmanned aerial vehicle observation/photogrammetry/surface subsidence/multiple seam mining/western mining area分类
矿业与冶金引用本文复制引用
崔建廷,王昆,刘国建,张俊阳,杨地,赵同彬,李俊生..西部矿区多煤层采动地表沉陷无人机观测方法研究[J].煤矿安全,2024,55(6):228-235,8.
