基于TLS技术的矿区地表沉降快速自动获取研究
发布时间：2018-09-13 14:31
【摘要】：为实现快速自动地从海量点云中获取地表沉降信息,该文提出了一种基于TLS技术的矿区沉降信息快速自动获取方法。对点云数据完成预处理后,首先以相同网格划分开采前后点云数据,然后利用改进的反距离权重法插值求取网格结点坐标,匹配相同网格结点作为同名点并求取下沉量,最后获取下沉曲线与下沉DEM,该方法实现了矿区地表形变的全面分析,能够快速自动地获取地表沉降信息。采用Riegl VZ-1000扫描仪采集某沉陷区开采前后点云数据,经过实验分析表明:该方法能够实现快速自动提取同名点、下沉点、下沉曲线与下沉DEM;将计算结果与实测值进行对比分析与精度分析,得到沉降结果符合实际地形变化情况,验证了该方法的可行性。该研究为三维激光扫描技术应用于地表沉降监测提供了支持。
[Abstract]:In order to obtain the ground subsidence information from the massive cloud of points quickly and automatically, this paper presents a fast and automatic method of mining subsidence information acquisition based on TLS technology. After preprocessing the point cloud data, the point cloud data before and after mining are divided into the same mesh at first, then the grid node coordinates are obtained by using the improved inverse distance weight method, which matches the same grid node as the same name point and calculates the subsidence amount. Finally, the subsidence curve and subsidence DEM, are obtained. The method realizes the comprehensive analysis of the surface deformation in the mining area, and can obtain the subsidence information automatically and quickly. The point cloud data before and after mining in a subsidence area are collected by Riegl VZ-1000 scanner. The experimental analysis shows that the method can quickly and automatically extract the same name point and sink point. The subsidence curve and the subsidence DEM; are compared with the measured values and the accuracy is analyzed. The settlement results are in line with the actual topographic changes and the feasibility of the method is verified. The research provides support for the application of three-dimensional laser scanning technology in surface subsidence monitoring.
【作者单位】： 河南理工大学测绘与国土信息工程学院;
【基金】：河南省科技攻关项目(162102210226) 国家测绘局测绘地理信息公益性行业专项(201412020) 河南省高等学校重点科研项目计划(15A420005) 河南理工大学博士基金项目(B2012-004)
【分类号】：P642.26
本文编号：2241449
[Abstract]:In order to obtain the ground subsidence information from the massive cloud of points quickly and automatically, this paper presents a fast and automatic method of mining subsidence information acquisition based on TLS technology. After preprocessing the point cloud data, the point cloud data before and after mining are divided into the same mesh at first, then the grid node coordinates are obtained by using the improved inverse distance weight method, which matches the same grid node as the same name point and calculates the subsidence amount. Finally, the subsidence curve and subsidence DEM, are obtained. The method realizes the comprehensive analysis of the surface deformation in the mining area, and can obtain the subsidence information automatically and quickly. The point cloud data before and after mining in a subsidence area are collected by Riegl VZ-1000 scanner. The experimental analysis shows that the method can quickly and automatically extract the same name point and sink point. The subsidence curve and the subsidence DEM; are compared with the measured values and the accuracy is analyzed. The settlement results are in line with the actual topographic changes and the feasibility of the method is verified. The research provides support for the application of three-dimensional laser scanning technology in surface subsidence monitoring.
【作者单位】： 河南理工大学测绘与国土信息工程学院;
【基金】：河南省科技攻关项目(162102210226) 国家测绘局测绘地理信息公益性行业专项(201412020) 河南省高等学校重点科研项目计划(15A420005) 河南理工大学博士基金项目(B2012-004)
【分类号】：P642.26
【相似文献】
相关期刊论文 前1条
1 郝洪美;徐凯;;滑坡监测中点云数据分析[J];北京测绘;2014年04期
相关博士学位论文 前1条
1 敖建锋;动态沉陷区地面激光扫描数据处理关键问题研究[D];中国矿业大学;2013年
，本文编号：2241449
本文链接：https://www.wllwen.com/guanlilunwen/gongchengguanli/2241449.html
