海量地铁隧道点云数据管理与Web快速可视化方法

Massive Subway Tunnel Point Cloud Data Management and Web Fast Visualization Method

传统点云处理软件为单机运行,Web点云应用较少,随着5G与WebGL技术的发展,3D Web应用的开发是未来的发展趋势。在地铁隧道工程中,实现隧道点云的快速处理与可视化是重要的需求之一。为满足地铁隧道点云的Web可视化需求,针对地铁隧道点云空间分布特点实现了一种格网与多分辨率八叉树结合的海量地铁隧道点云数据索引模型。采用B/S(browser/server)架构,以WebGL为基础,可适应不同点云密度来达到更好的Web端渲染效果。在满足标准las点云格式处理需求的基础上实现了自定义格式处理的功能,对数据I/O(input/output)进行优化,索引构建上效率进一步提高。使用Three.js引擎对渲染机制与效果进行了优化,通过设计实验证明了方法在地铁隧道点云数据管理与Web快速可视化上的有效性。

With the development of 5G and WebGL technology,the development of 3D Web application is the trend.In tunnel engineering,one of the important requirements is to realize the rapid processing and visualization of tunnel point cloud.Aim to meet the needs of Web visualization of metro tunnel point cloud,this paper accomplishes an index model based on grid and multi-resolution octree.With Browser/Server architecture and WebGL,the program could achieve better web rendering effect.Apart from meeting the requirements of the standard Las/Laz point cloud format processing,the user-defined format processing function is realized.The input/output efficiency is optimized and the index construction efficiency is further improved.The experiment,proves the effectiveness of the method in metro tunnel point cloud data management and web fast visualization.