摘要
露天采场道路存在地形复杂、环境恶劣、变化频繁等问题,传统的道路测量方法难以满足露天采场道路的三维建模需求。文章以露天采场三维激光点云数据为研究对象,开展基于无人机点云数据的露天采场道路三维建模技术研究。结果表明,该研究能快速、准确地获取露天采场道路的三维信息,为采场提供精细化道路三维模型,进而为露天采场控制室进行决断提供数据支撑,并保障了露天采场的无人化、智能化建设。
There are problems with complex terrain,harsh environment,and frequent changes in the roads of open-pit mining sites.Traditional road measurement methods are difficult to meet the three-dimensional modeling requirements of open-pit mining site roads.This article takes the three-dimensional laser point cloud data of open-pit mining sites as the research object,and conducts research on the three-dimensional modeling technology of open-pit mining site roads based on unmanned aerial vehicle point cloud data.The results indicate that this study can quickly and accurately obtain three-dimensional information of open-pit mining roads,provide a refined threedimensional model of the road for the mining site,and provide data support for the decision-making of the open-pit mining control room,and ensure the unmanned and intelligent construction of the open-pit mining site.
作者
刘思洋
孟强
查日森
莎诗萌
毛亚纯
LIU Siyang;MENG Qiang;ZHA Risen;SHA Shimeng;MAO Yachun
出处
《今日自动化》
2024年第8期173-175,共3页
Automation Today
关键词
点云数据
三维建模
露天采场
聚类算法
贪心算法
point cloud data
3D modeling
open pit mining area
clustering algorithm
greedy algorithm