基于点云数据的矿洞剥离量监测  

Mine Stripping Volume Monitoring Based on Point Cloud Data

作　　者：徐辛超[1] 田飞飞 刘明岳 赵红喜 XU Xinchao;TIAN Feifei;LIU Mingyue;ZHAO Hongxi(College of Surveying and Geography,Liaoning Technical University,Fuxin 123000,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出　　处：《测绘地理信息》2023年第5期44-48,共5页Journal of Geomatics

基　　金：国家自然科学基金(42071447);辽宁省教育厅基础研究项目(LJ2019JL021)。

摘　　要：矿物剥离量监测在工程应用中有非常重要的意义,而目前关于复杂不规则矿洞剥离量的研究较少。因此,基于三维激光点云数据,首先用投影法和切片法对模拟矿洞和真实矿洞进行了体积计算实验,得出了投影法对于复杂不规则矿洞体积计算更具有鲁棒性的结论;然后对两期点云数据进行配准,确定其相对位置,并在投影法的基础上,采用相邻两期矿洞体积作差的间接计算方法和对矿石剥离体单独建模的直接计算方法来对真实矿洞点云进行剥离量计算。实验结果表明,与理论值相比,模拟矿洞点云的体积误差可以控制在0.890%,真实矿洞中的剥离量相对误差可以不超过1.58%,外业工作时间也有效减少。Mine stripping volume monitoring is of great significance in engineering application,but there are few studies on the stripping volume in complex and irregular mines at present.Therefore,based on 3D laser point cloud data,we firstly use projection method and slice method to calculate the volumes of simulated and real mines,and draw the conclusion that projection method is more stable for volume calculation of complex and irregular mines.Then,the point cloud data of the two stages are registered to determine the relative position.On the basis of projection method,the indirect calculation method that computing the volume difference of adjacent two periods of mines and the direct calculation method that computing the separate model of the mine stripping body are adopted to calculate the stripping volume for the point cloud in the real mine.The experimental results show that the volume error of point cloud in the simulated mine can reach 0.890%compared with theoretical value,and the relative error of stripping volume can be less than 1.58%in the real mine,and the field working time can be effectively reduced.

关 键 词：点云网格化 投影法 切片法 配准定位 剥离量 体积作差法 直接建模法 

分 类 号：P237[天文地球—摄影测量与遥感] TD17[天文地球—测绘科学与技术]