无人机监测矿区道路沉降的像控点布设方法  

Image Control Points Layout Method for UAV Monitoring of Road Subsidence in Mining Areas

作　　者：朱鹏程 ZHU Pengcheng(School of Surveying&Testing,Shaanxi Railway Institute,Weinan 714000,China)

机构地区：[1]陕西铁路工程职业技术学院测绘与检测学院,陕西渭南714000

出　　处：《测绘与空间地理信息》2024年第4期30-33,共4页Geomatics & Spatial Information Technology

基　　金：陕西铁路工程职业技术学院2021年第二批科研基金研究生专项(KY2021-58)资助。

摘　　要：为高效监测因采动导致的矿区道路沉降,本文利用无人机摄影测量技术,研究了在50 m作业高度下不同像控点布设方案对该技术监测道路沉降精度的影响。本文采用模拟实验与实测验证相结合的方法,分析了10种不同的像控点布设间距对沉降监测精度的影响,得到较为合理的像控点布设间距为100 m,此时高程监测精度为1.5 cm。以山东省济宁市南屯煤矿9313工作面采动区域内十字道路为对象验证模拟实验结果,得到沉降监测误差为1.6 cm,该结果可以满足厘米级精度的沉降监测要求,为井下采煤工作和道路修复工作提供指导数据。In order to efficiently monitor the road subsidence caused by mining,this paper uses the UAV photogrammetry technology to study the effect of different image control point layout schemes on the monitoring accuracy of road subsidence at a working height of 50 m.In this paper,the method of combining simulation experiment and actual measurement verification is used to analyze the influence of 10 different image control points layout interval on the subsidence monitoring accuracy,and a more reasonable image control point layout interval is 100 m,and the elevation monitoring accuracy is 1.5 cm.Taking the cross road in the mining area of 9313 working face of Nantun Coal Mine,Jining city,Shandong province as the object to verify the simulation experiment results,the subsidence monitoring error is 1.6 cm.The results can meet the requirements of subsidence monitoring with centimeter-level accuracy,and provide guidance data for underground coal mining and road repair work.

关 键 词：像控点布设 道路沉陷 DEM 无人机 

分 类 号：P25[天文地球—测绘科学与技术] TB22[天文地球—大地测量学与测量工程]