基于点云数据的排土场安全挡墙提取方法研究  

Research on the Extraction Method of Safety Retaining Walls in Waste Disposal Sites Based on Point Cloud Data

作　　者：杨巍 郭航伸 吴怡璇 桓柳 毛亚纯[3] YANG Wei;GUO Hangshen;WU Yixuan;HUAN Liu;MAO Yachun

机构地区：[1]成远矿业开发股份有限公司,辽宁辽阳111299 [2]辽宁科技大学,辽宁沈阳110325 [3]东北大学,辽宁沈阳110004

出　　处：《今日自动化》2024年第6期168-170,共3页Automation Today

摘　　要：安全挡墙作为排土场安全措施之一,用来保障排土场正常作业,避免排岩车辆未保持安全卸载距离导致车辆滑落。文章提出基于无人机点云数据的排土场安全挡墙提取方法。以辽宁省鞍山市齐大山铁矿排土场点云数据作为数据源,利用坡度滤波算法提取排土平台点云数据,再对其进行alphashape边缘提取算法来提取出安全挡墙一侧的边缘点云数据,再根据高程约束与向量叉乘位置判别来提取安全挡墙点云数据。通过对安全挡墙进行三维可视化建模实现安全挡墙的监测。As one of the safety measures for the dumping site,the safety retaining wall is used to ensure the normal operation of the dumping site and avoid the sliding of vehicles due to the failure of rock dumping vehicles to maintain a safe unloading distance.This article proposes a method for extracting safety retaining walls in waste disposal sites based on unmanned aerial vehicle point cloud data.Using the point cloud data of Qidashan Iron Mine dumping site in Anshan City,Liaoning Province,China as the data source,the slope filtering algorithm is first used to extract the point cloud data of the dumping platform.Then,the alphashape edge extraction algorithm is applied to extract the edge point cloud data on one side of the safety retaining wall.Finally,the safety retaining wall point cloud data is extracted based on height constraints and vector cross product position discrimination.Monitoring of safety barriers is achieved through three-dimensional visualization modeling of safety barriers.

关 键 词：无人机点云 安全挡墙 坡度滤波算法 alphashape边缘提取算法 

分 类 号：P231[天文地球—摄影测量与遥感]