首页 > 论文 > 激光与光电子学进展 > 55卷 > 5期(pp:51409--1)

利用三维激光扫描技术监测桥梁振幅

Bridge Amplitude Monitoring with Three-Dimensional Laser Scanning Technology

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

利用激光扫描技术进行变形监测的原理,针对所监测的区域通过对比分析不同时段所测得的点云数据,确定监测对象中的变形区域与变形量。与传统的单点测量技术相比,三维激光扫描技术具有效率高、精度高、测量数据量大等优点,然而在应用该技术进行变形监测时,对于监测结果的可靠性并未作出评价。因此,需要对点云误差进行分析,并由此确定点云变形可监测指标。在确定点云误差空间时,引入误差熵来消除相邻点之间的误差影响,以及控制误差空间不确定性的影响。根据误差熵与误差极值的关系,最终确定点云变形可监测指标。利用平面板模拟实验,验证该指标的可行性,然后将其应用于桥梁的变形监测中。

Abstract

The principle of three-dimensional(3D) laser scanning technology for deformation monitoring is to analyze the point cloud data measured at different time intervals and determine the deformation area and the deformation amount in the monitoring object based on the contrast of the obtained data. Compared with the traditional single-point measurement technology, the 3D laser scanning technology has advantages such as high efficiency, high precision and large amount of measurement data. However, no evaluation is made on the reliability of monitoring results when applying this technology for deformation monitoring. Therefore, it is necessary to analyze the point cloud error and determine the indicators of point cloud deformation monitoring. In determining the point cloud error space, we introduce the error entropy to eliminate the influence of the error between adjacent points and control the influence of the uncertainty of the error space. According to the relationship between the error entropy and the extreme value of the error, the indicators of point cloud deformation monitoring can be finally determined. The feasibility of the indicators are verified based on the flat panel simulation experiment, and then applied to the bridge deformation monitoring.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:P225.2;P234.4;TN249

DOI:10.3788/lop55.051409

所属栏目:激光器与激光光学

基金项目:国家自然基金青年基金(41501502)、武汉市测绘研究院博士后创新实践基地科研项目(WGF2016002)

收稿日期:2018-01-02

修改稿日期:2018-01-28

网络出版日期:--

作者单位    点击查看

章涛:武汉理工大学资源与环境工程学院, 湖北 武汉 430079
陈西江:武汉理工大学资源与环境工程学院, 湖北 武汉 430079

联系人作者:章涛(1075482589@qq.com)

备注:章涛(1995—),男,硕士研究生,主要从事三维点云处理方面的研究。E-mail: 1075482589@qq.com

【1】Zhang X H, Guo F, Li P, et al. Real-time quality control procedure for GNSS precise point positioning[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 940-944.
张小红, 郭斐, 李盼, 等. GNSS精密单点定位中的实时质量控制[J]. 武汉大学学报(信息科学版), 2012, 37(8): 940-944.

【2】Liu C J, Liu H L, Zhang S F. Study of slope deformation monitoring technology of precise comparison algorithm based on laser point cloud[J]. Chinese Journal of Rock Mechanics and Engineering, 2015, 34(S1): 3281-3288.
刘昌军, 刘会玲, 张顺福. 基于激光点云直接比较算法的边坡变形监测技术研究[J]. 岩石力学与工程学报, 2015, 34(S1): 3281-3288.

【3】Ma J W, Tang H M, Hu X L, et al. Application of 3D laser scanning technology to landslide physical model test[J]. Rock and Soil Mechanics, 2014, 35(5): 1495-1505.
马俊伟, 唐辉明, 胡新丽, 等. 三维激光扫描技术在滑坡物理模型试验中的应用[J]. 岩土力学, 2014, 35(5): 1495-1505.

【4】Wang J, Zhang C C. Deformation monitoring of earth-rock dams based on three-dimensional laser scanning technology[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(12): 2345-2350.
王举, 张成才. 基于三维激光扫描技术的土石坝变形监测方法研究[J]. 岩土工程学报, 2014, 36(12): 2345-2350.

【5】Tang J. Application of three dimensional laser scanning technology in bridge monitoring[J]. Mine Surveying, 2016, 44(4): 53-55.
唐均. 三维激光扫描技术在桥梁监测中的应用[J]. 矿山测量, 2016, 44(4): 53-55.

【6】Zhang Z, Xu H L, Yin H. A fast point cloud registration algorithm based on key point selection[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121002.
张哲, 许宏丽, 尹辉. 一种基于关键点选择的快速点云配准算法[J]. 激光与光电子学进展, 2017, 54(12): 121002.

【7】Li R Z, Yang M, Liu Y Y, et al. An uniform simplification algorithm for scattered point cloud[J]. Acta Optica Sinica, 2017, 37(7): 0710002.
李仁忠, 杨曼, 刘阳阳, 等. 一种散乱点云的均匀精简算法[J]. 光学学报, 2017, 37(7): 0710002.

【8】Huang Y, Da F D, Tang L. Three-dimensional point cloud compression algorithm based on improved octree[J]. Acta Optica Sinica, 2017, 37(12): 1210003.
黄源, 达飞鹏, 唐林. 基于改进八叉树的三维点云压缩算法[J]. 光学学报, 2017, 37(12): 1210003.

【9】Chen H Q, Guo W. Application of three dimensional laser scanning technology in bridge deformation monitoring[J]. Modern Surveying and Mapping, 2016, 39(1): 36-39.
陈红权, 郭威. 三维激光扫描技术在桥梁形变监测中的应用[J]. 现代测绘, 2016, 39(1): 36-39.

【10】Liu Z W. Application of three dimensional laser scanning technology in bridge deformation monitoring[J]. Transpoworld, 2016(2): 72-73.
刘志伟. 三维激光扫描技术在桥梁变形检测中的应用[J]. 交通世界, 2016(2): 72-73.

【11】Ni J M, Liu X, Nie Z Q. Application of three dimensional laser scanning technology in bridge deformation monitoring[J]. Journal of Highway and Transportation Research and Development, 2017, 13(8): 197-198.
倪家明, 刘学, 聂忠权. 三维激光扫描技术在桥梁变形监测中的应用[J]. 公路交通科技(应用技术版), 2017, 13(8): 197-198.

【12】Huang C L. Under the laser scanning technology research of bridge deformation monitoring method[J]. Bulletin of Surveying and Mapping, 2015(S1): 206-209.
黄承亮. 激光扫描技术下桥梁变形监测方法的研究[J]. 测绘通报, 2015(S1): 206-209.

【13】Soudarissanane S, Linenbergh R, Menenti M, et al. Scanning geometry: Influencing factor on the accuracy of terrestrial laser scanning points[J]. Journal of Photogrammetry and Remote Sensing, 2011, 66: 389-399.

【14】Grant D, Bethel J, Crawford M. Point-to-plane registration of terrestrial laser scans[J]. ISPRS Journal of Photogrammetry and Remote Sensing. 2012, 72: 16-26.

【15】Schaer P, Skaloud J, Landtwing S, et al. Accuracy estimation for laser point cloud including scanning geometry[J]. Mobile Mapping Symposium, 2007, 19(440): 1-8.

【16】Zhang J, Tan Z G, Lu M, et al. Particle swarm optimization based point cloud scene mosaic algorithm[J]. Journal of National University of Defense Technology, 2013, 35(5): 174-179.
张军, 谭志国, 鲁敏, 等. 基于粒子群优化的点云场景拼接算法[J]. 国防科技大学学报, 2013, 35(5): 174-179.

【17】Carter T. An introduction to information theory and entropy[R]. Santa Fe: Complex Systems Summer School, 2007.

【18】Li D J, Gong J Y, Xie G S, et al. Research on entropy uncertainty band of linear segments in GIS[J]. Journal of Image and Graphics, 2002, 7(11): 1214-1219.
李大军, 龚健雅, 谢刚生, 等. GIS中线元的熵不确定带研究[J]. 中国图象图形学报, 2002, 7(11): 1214-1219.

【19】Zhang W J, Wang B, Yang J B, et al. Study of vibration property of stay cables of Jiujiang Changjiang River highway bridge[J]. World Bridges, 2012, 40(6): 47-51.
张武剑, 王波, 杨金保, 等. 九江长江公路大桥斜拉索振动特性研究[J]. 世界桥梁, 2012, 40(6): 47-51.

引用该论文

Zhang Tao,Chen Xijiang. Bridge Amplitude Monitoring with Three-Dimensional Laser Scanning Technology[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051409

章涛,陈西江. 利用三维激光扫描技术监测桥梁振幅[J]. 激光与光电子学进展, 2018, 55(5): 051409

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF