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单线激光雷达扫描的矿车装载量核算方法
引用本文:逯行政,许志华,徐二帅,毛亚纯. 单线激光雷达扫描的矿车装载量核算方法[J]. 测绘通报, 2021, 0(7): 12-16. DOI: 10.13474/j.cnki.11-2246.2021.0201
作者姓名:逯行政  许志华  徐二帅  毛亚纯
作者单位:中国矿业大学(北京)地球科学与测绘工程学院,北京100083;东北大学资源与土木工程学院,辽宁 沈阳110819
基金项目:国家自然科学基金(41701534);中央高校基本科研业务费(2020YQDC02;2020YJSDC27)
摘    要:面向露天矿山生产对于矿车装载量核算的需求,本文提出了一种利用单线激光雷达扫描的矿车装载量自动核算方法.该方法首先采用固定式单线激光雷达对目标车辆进行俯视扫描,基于车辆形态特征分割出载荷物顶部点云;然后经时态校正,并与预先构建的车辆信息数据库进行匹配,重建出载荷物的三维表面模型;最后通过对载荷物表面模型的切片积分实现方量...

关 键 词:矿山工程  装载量核算  激光扫描  点云处理  时态校正
收稿时间:2021-05-12
修稿时间:2021-05-18

Mining vehicles loading estimation by single-pulse laser scanning
LU Xingzheng,XU Zhihua,XU Ershuai,MAO Yachun. Mining vehicles loading estimation by single-pulse laser scanning[J]. Bulletin of Surveying and Mapping, 2021, 0(7): 12-16. DOI: 10.13474/j.cnki.11-2246.2021.0201
Authors:LU Xingzheng  XU Zhihua  XU Ershuai  MAO Yachun
Affiliation:1. College of Geoscience and Surveying Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China;2. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China
Abstract:Facing the demand of loading volume estimation for vehicles in open pit mines, this paper proposes an automatic measuring method using single-pulse laser scanning. First, we use a fixed single pulse laser to scan the target vehicle in a bird view, and then segment the point cloud of the load surface using the vehicle morphological features. Following that, we reconstruct the load surface model by temporal correction and matching the pre-constructed vehicle database, and finally estimate the loading volume by slicing and integrating the surface model. We apply the proposed method to Qidashan iron ore open pit mine for load volume estimation. Experimental results show that the proposed method enables to obtain the surface 3D point cloud of the load in real time under the moving conditions of vehicles. Besides, the average error of 3D modeling is 2.54 cm, whereas the error of load volume estimation is 1.17%.
Keywords:mining engineering  load estimation  laser scanning  point cloud processing  tense correction  
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