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基于四旋翼无人机的宁夏羊场湾煤矿采煤沉陷量监测
引用本文:高冠杰,侯恩科,谢晓深,徐友宁,魏启明,刘江斌.基于四旋翼无人机的宁夏羊场湾煤矿采煤沉陷量监测[J].地质通报,2018,37(12):2264-2269.
作者姓名:高冠杰  侯恩科  谢晓深  徐友宁  魏启明  刘江斌
作者单位:西安科技大学地质与环境学院, 陕西 西安 710054,西安科技大学地质与环境学院, 陕西 西安 710054,西安科技大学地质与环境学院, 陕西 西安 710054,中国地质调查局西安地质调查中心, 陕西 西安 710054,神华宁夏煤业集团宁煤羊场湾煤矿, 宁夏 灵武 751400,神华宁夏煤业集团宁煤羊场湾煤矿, 宁夏 灵武 751400
基金项目:中国地质调查局项目《秦岭及宁东矿产资源集中开采区地质环境调查》(编号:DD20160336)和国家自然科学基金项目《煤层顶板突水机理及突水危险性分区预测方法研究》(批准号:41472234)
摘    要:小型无人机遥感技术具有成本低、操作灵活便利等优点,在地质调查中的作用愈来愈重要。采煤地表沉陷量变形监测是掌控采煤地表岩移变形规律和治理塌陷的关键性工作。重点探索四旋翼无人机遥感技术监测在羊场湾煤矿Y120212工作面采煤沉陷量的监测研究,通过野外踏勘与控制点布设、无人机航线规划与执行、4D产品制作的工作程序和监测方法,探索无人机遥感技术监测在矿山地质塌陷监测的应用。研究结果表明,通过对无人机遥感技术生成的DSM处理,经过多期地面高程的对比,得到Y120212工作面最大沉陷量达6.5m。结合分析、对比,无人机遥感技术可以实现采煤塌陷区地表沉陷变形监测,进而形成和发展了煤矿地面塌陷新的监测技术。

关 键 词:无人机遥感  地面塌陷  沉陷量监测  羊场湾煤矿
收稿时间:2018/1/10 0:00:00
修稿时间:2018/6/20 0:00:00

The monitoring of ground surface subsidence related to coal seams mining in Yangchangwan coal mine by means of unmanned aerial vehicle with quad-rotors
GAO Guanjie,HOU Enke,XIE Xiaoshen,XU Youning,WEI Qiming and LIU Jiangbin.The monitoring of ground surface subsidence related to coal seams mining in Yangchangwan coal mine by means of unmanned aerial vehicle with quad-rotors[J].Geologcal Bulletin OF China,2018,37(12):2264-2269.
Authors:GAO Guanjie  HOU Enke  XIE Xiaoshen  XU Youning  WEI Qiming and LIU Jiangbin
Institution:College of Geology and Environment, Xi''an University of Science and Technology, Xi''an 710054, Shaanxi, China,College of Geology and Environment, Xi''an University of Science and Technology, Xi''an 710054, Shaanxi, China,College of Geology and Environment, Xi''an University of Science and Technology, Xi''an 710054, Shaanxi, China,Xi''an Center of Geological Survey, CGS, Xi''an 710054, Shaanxi, China,Yangchangwan Mine, Shenhua Ningxia Coal Mining Group, Lingwu 751400, Ningxia, China and Yangchangwan Mine, Shenhua Ningxia Coal Mining Group, Lingwu 751400, Ningxia, China
Abstract:The small UAV is an important tool in geological survey with the advantages of low cost and flexible operation. The monitoring of surface subsidence and deformation is a key to controlling the surface movement and deformation related to coal seams mining and subsidence. This paper focuses on the investigation of coal mining subsidence monitoring in the Y120212 working face in Yangchangwan coal mine, by the process of field reconnaissance and controlling point layout, UAV route planning and execution, 4D product production process and monitoring methods, so as to apply unmanned aerial vehicle remote sensing technology to monitoring the mine geological collapse. The research shows that the maximum subsidence value of the Y120212 working surface reaches 6.5m by comparison of the DSM processing of unmanned aerial vehicle (UAV) remote sensing technology and multi period ground elevation. A comparative study of the unmanned aerial vehicle remote sensing technology shows that it can monitor the surface subsidence deformation related to coal mining subsidence area. The technology is also a new means for monitoring the ground subsidence of the coal mine.
Keywords:UAV remote sensing  surface collapse  surface subsidence monitoring  Yangchangwan coal mine
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