无人机监测矿区铁路变形的像控点布设方法

Method for Image Control Point Layout of Railway Deformation Monitoring in Mining Area Based on UAV

为高效获取矿区铁路变形、监测地下采煤对地表铁路的影响,研究了不同像控点布设方法对无人机近地摄影测量矿区铁路监测精度的影响。采用模拟试验与实测验证的方法,分析了利用无人机近地摄影测量方式所能达到的平面坐标和高程的最高精度。试验通过设计10个不同长度的模型,最终得到的平面坐标误差最小为2mm,高程误差最小为7.5 mm。以安徽淮北某矿专用铁路作为实测对象验证模拟试验结果,得到的平面坐标误差平均为2.3 mm,高程误差平均为6.3 mm。研究结果可为无人机在矿区铁路等线状地物监测方面的应用提供参考。

In order to efficiently obtain the deformation of the railway in the mining area and monitor the impact of underground coal mining on the surface railway,the influence of different image control point layout methods on the monitoring precise of mine railway by adopting near-field photogrammetry and UAV is discussed.The method of simulation experiment,combining with the actual verification,is used to explore the highest precision of plane coordinates and elevations that can be achieved by UAV near-field photogrammetry.By designing ten models with different length,it is obtained that the error in the plane coordinates was 2 mm,and the error in the elevation was 7.5 mm.Based on the above discussion results,with the simulation experiment results as the measured object that are verified by using a special railway in Huaibei City,Anhui Province.The study results show that the average error in the plane coordinate was 2.3 mm,and the average error in the elevation was 6.3 mm.The result provides a reference for the application of UAV in the field of linear ground monitoring such as mining railway.