摘要
目的针对传统矿山土石方量计算不够精确的问题,提出一种倾斜摄影测量结合方格网进行矿山土石方量计算的方法。方法以皖北某露天矿山为研究对象,利用无人机搭载的数码相机获取矿区序列倾斜影像,通过特征提取、空三测量、多视影像密集匹配,在获得密集点云的基础上,构建不规则三角格网和纹理映射,重建露天矿山三维模型进而绘图并运用方格网法计算土石方量。结合传统测量模式的成果,对碎部点精度和土石方量精度进行详细的分析。结果通过两种模式对比,碎部点平面中误差为0.083 m,高程中误差为0.069 m,土石方量的挖方差值为4577 m3,差值率为1.2%,填方差值为1331 m3,差值率为1.0%,两种精度均满足国家规范要求。结论该方法有效提高工作效率和工程精度,对相关工作有一定参考意义。
Objective Considering the inaccuracy of traditional earthwork calculation of mine,a new method of mine earthwork calculation based on tilt photogrammetry and grid was proposed.Methods By taking an open-pit mine in Northern Anhui Province as the research object,the digital camera equipped with unmanned aerial vehicle(UAV)was used to obtain the sequence tilt image of mining area.Through feature extraction,aerial triangulation survey and multi-view image dense matching,on the basis of obtaining dense point cloud,irregular triangular grid and texture mapping were constructed to reconstruct the three-dimensional model of open-pit mine,and then the earthwork volume was calculated by grid method.Combining with the results of traditional measurement mode,the accuracy of debris points and earthwork measurement were analyzed in detail.Results The comparison of the results of two models of calculation showed the mean square errors of the detail point in plane direction and in vertical direction were 0.083 m and 0.069 m,respectively.The excavation difference value of the earthwork volume was 4577 m3 with the difference rate 1.2%,and the filling difference value was 1331 m3 with the difference rate 1.0%.The two kinds of accuracy met the requirements of national specifications.Conclusion This method can effectively improve the engineering efficiency and accuracy,and has a certain reference significance for related work.
作者
戴洪宝
许继影
DAI Hong-bao;XU Ji-ying(School of Environment and Surveying Engineering,Suzhou University,Suzhou,Anhui 234000,China;School of Resources and Civil Engineering,Suzhou University,Suzhou,Anhui 234000,China)
出处
《河北北方学院学报(自然科学版)》
2021年第3期31-36,共6页
Journal of Hebei North University:Natural Science Edition
基金
宿州学院重点科研项目(2019yzd01)
安徽省高校优秀拔尖人才项目(gxgnfx2020107)
安徽省教育厅自然科学项目(KJ2013B290)。