三维激光扫描监测地表沉降精度研究
[Abstract]:At present, the research on the accuracy of 3D laser scanning is mainly focused on the precision of measuring angle and ranging of instruments and the precision of the modeling model itself. In order to obtain the actual accuracy of the 3D laser scanning technology for monitoring the surface deformation, the design of the monitoring scheme of the surface deformation is guided. In this paper, four kinds of experimental sites of different terrain, such as flat concrete land, basically flat grassland, grasslands with certain slope and hillside, are selected, and the surface point cloud data are obtained by using 3D laser scanner. The effects of point cloud density, station distance, noise and terrain complexity on the settlement accuracy after surface modeling were studied by using DEM model based on Kriging rule grid. The main research results are as follows: (1) the data processing results show that the point cloud density has no obvious effect on the settlement accuracy, and the station distance is the dominant factor; By introducing elevation random error into the original point cloud data to simulate the effect of noise on settlement accuracy, it can be used to guide the selection of appropriate point cloud denoising method, and quantitatively analyze the influence of terrain complexity on settlement accuracy by means of curvature quantitative analysis. It can be used to determine whether the instrument can meet the monitoring accuracy requirements. (2) the relationship between the maximum station distance and the point cloud density of each experimental site is studied in combination with the monitoring accuracy of ground subsidence and the point cloud denoising requirement. It is found that the precision of settlement after modeling can reach the theoretical precision of instrument elevation in general, and the precision of settlement after optimal surface modeling can reach sub-millimeter level. (3) based on the research results of this paper, the influence of noise on settlement accuracy is controlled within 1mm. On the premise of judging that the instrument can meet the requirement of measuring precision, according to the relationship between the maximum station distance and the point cloud density, the appropriate station setting distance is selected, and the scanning point cloud density is reduced appropriately to save the outfield measurement time. It can be used to guide the design of the most economical surface deformation monitoring program.
【学位授予单位】:中国矿业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P225.2;P642.26
【参考文献】
相关期刊论文 前10条
1 李倩楠;;基于不同算法的DEM地面曲率提取的比较分析[J];首都师范大学学报(自然科学版);2016年05期
2 丁建勋;马德富;高俊;;三维激光扫描数据精度影响因素分析及控制措施[J];城市勘测;2016年02期
3 徐寿志;程鹏飞;张玉;丁朋辉;;地面三维激光扫描仪的检校与测量精度评定[J];测绘通报;2016年02期
4 王瑞鹏;王力;李明磊;荆海峰;;扫描入射角对点云测量精度的影响[J];测绘通报;2015年S1期
5 曹先革;张随甲;司海燕;孟祥来;刘妍;;地面三维激光扫描点云数据精度影响因素及控制措施[J];测绘工程;2014年12期
6 刘土生;;基于P-范分布下的三维激光点位误差分布检验[J];科技广场;2014年10期
7 徐静;顾留碗;张耀民;韩光辉;;规则格网DEM地形综合方法分析[J];测绘工程;2014年09期
8 官云兰;程效军;詹新武;鲁铁定;;地面三维激光扫描仪系统误差标定[J];测绘学报;2014年07期
9 李强;邓辉;周毅;;三维激光扫描在矿区地面沉陷变形监测中的应用[J];中国地质灾害与防治学报;2014年01期
10 李俊晓;李朝奎;殷智慧;;基于ArcGIS的克里金插值方法及其应用[J];测绘通报;2013年09期
相关硕士学位论文 前10条
1 何强;应用三维激光扫描监测矿区建构筑物变形研究[D];中国矿业大学;2016年
2 张豪杰;采动区高等级公路变形三维激光扫描监测方法研究[D];中国矿业大学;2016年
3 胡志胜;三维激光扫描点云边界检测和孔洞修补技术研究[D];中国矿业大学;2016年
4 王倩;基于Delaunay的三维快速克里金插值[D];电子科技大学;2015年
5 张靖;基于克里金算法的点云数据插值研究[D];长安大学;2014年
6 代世威;地面三维激光点云数据质量分析与评价[D];长安大学;2013年
7 蔡元菲;快速三维克里金插值方法研究及实现[D];电子科技大学;2013年
8 高志国;地面三维激光扫描数据处理及建模研究[D];长安大学;2010年
9 刘晓亮;三维数字地形模型的建立与地形分析方法研究[D];辽宁工程技术大学;2009年
10 陈敬周;数字高程模型的生成与应用[D];太原理工大学;2007年
,本文编号:2171027
本文链接:https://www.wllwen.com/kejilunwen/dizhicehuilunwen/2171027.html