基于无人机点云数据的露天采场道路的三维建模技术研究
Research on 3D Modeling Technology of Open-pit Mining Road Based on Unmanned Aerial Vehicle Point Cloud Data
刘思洋 1孟强 1查日森 1莎诗萌 1毛亚纯2
作者信息
- 1. 成远矿业开发股份有限公司,辽宁辽阳 111299
- 2. 东北大学 资源与土木工程学院,辽宁沈阳 110819
- 折叠
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.
Abstract
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 three-dimensional 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.
关键词
点云数据/三维建模/露天采场/聚类算法/贪心算法Key words
point cloud data/3D modeling/open pit mining area/clustering algorithm/greedy algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据