摘要
为了提升大规模点云数据渲染速度,提出了基于改进的可修改嵌套八叉树数据结构(Potree’s Octree Structure,POS)的露天矿山三维点云高速渲染技术。分析了数据的结构特点,设计了露天矿山大规模点云数据处理流程,以哈尔乌素露天煤矿采场原始点云数据为例进行验证。结果表明:进行数据结构优化后,哈尔乌素露天煤矿点云数据渲染时间从30min缩减至5~6s,时间仅为优化前的3‰,实现了三维点云模型的高速渲染,同时优化后的数据结构显示精度更高。
In order to improve the rendering speed of large-scale point cloud data,a 3D point cloud for open-pit coal mines based on the Potree’s Octree Structure is proposed.The characteristics of the data structure are studied and analyzed,and the large-scale point cloud data processing flow of the open-pit mine is designed.The results show that:after the optimization of the data structure,the rendering time of the point cloud data of the Harwusu open-pit coal mine is reduced from 30 minutes to 5~6 seconds,which is only three thousandths of the time before optimization,and the high-speed rendering of the 3D point cloud model is realized.At the same time,the optimized data structure shows higher precision.
作者
焦晓亮
杨可毅
周伟
栾博钰
陆翔
JIAO Xiao-liang;YANG Ke-yi;ZHOU Wei;LUAN Bo-yu;LU Xiang(CHN Energy Zhungeer Energy Group Co.,Ltd.,Ordos 010300,China;School of Mines,China University of Mining and Technology,Xuzhou 221116,China;State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Xuzhou 221116,China)
出处
《煤炭工程》
北大核心
2022年第S01期162-166,共5页
Coal Engineering
关键词
露天矿
点云数据
POS
点云渲染
open-pit coal mine
point cloud data
POS
point cloud rendering
