基于三维激光扫描技术的土石坝变形监测方法研究

王举; 张成才

doi:10.11779/CJGE201412026

基于三维激光扫描技术的土石坝变形监测方法研究 English Version

王举^{1, 2},
张成才¹

1. 郑州大学水利与环境工程学院,河南郑州 450001; 2. 郑州市水务局,河南郑州 450006

基金项目: 河南省基础研究计划项目（132300410031）; 河南省高校科技创新团队支持计划项目（13IRTSTHN030）

详细信息

作者简介:
王举（1975- ）,男,工程师,博士研究生,主要从事水利工程信息化工作。E-mail: 46624210@qq.com。

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出版历程
- 收稿日期: 2014-03-13
- 发布日期: 2014-12-25

Deformation monitoring of earth-rock dams based on three-dimensional laser scanning technology

WANG Ju^{1, 2},
ZHANG Cheng-cai¹

1. College of Water Conservancy & Environmental Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Zhengzhou Municipal Water Affairs Bureau, Zhengzhou 450006, China

摘要

摘要: 由于土石坝结构复杂、非刚性等特点,受到外力作用时,各个部分变形呈现非线性变化,传统的单点监测存在一些局限性。提出了一种基于三维激光扫描技术的土石坝变形监测方法,将不同时期所采集的序列点云进行绝对定向完成坐标系统一,然后获取一组不同期的点云数据在同一位置处的剖面数据进行对比分析,监测大坝在水平与垂直方向的变形和位移。采用所提出的方法,在郑州市尖岗水库进行了试验,结果表明所提方法精度高,实时性强,能够满足水库大坝变形分析计算的要求。
- 三维激光扫描 /
- 点云数据 /
- 剖面分析 /
- 变形监测
Abstract: The conventional method for deformation monitoring of earth-rock dams based on a single point cannot acquire enough information. It doesn’t consider the position and the relationship between points. It cannot accurately monitor the real and three-dimensional deformations of the earth-rock dams. Owing to their complex structure and non-rigid character, the earth-rock dams exhibit irregular deformation when subjected to external force. So a new method for dam deformation monitoring based on three-dimensional laser scanning point cloud data is proposed. First, the absolute orientation is implemented for the point cloud data series collected at different time, allowing that the post-possessing can be performed in a unified coordinate system. Then, the cross-section point cloud data series at the same location collected at different time are compared and analyzed to figure out the dam deformation and displacement in horizontal and vertical directions. Jiangang Reservoir in Zhengzhou City is chosen to verify the accuracy and efficiency of the proposed dam deformation monitoring method. The experimental results show that the proposed method is highly accurate and real-time, and can meet the requirements of dam deformation analysis.
- three-dimensional laser scanning /
- point cloud data /
- section at analysis /
- deformation monitoring

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参考文献(14)

[1]	李红连, 黄丁发, 陈宪东. 大坝变形监测的研究现状与发展趋势[J]. 中国农村水利水电, 2006(2): 89-90. (LI Hong-lian, HUANG Ding-fa, CHEN Xian-dong. Research status and development trend of dam deformation monitoring[J]. China's Rural Hydropower, 2006(2): 89-90. (in Chinese))
[2]	王小敏. 基于有限元方法的大坝变形分析与仿真研究[D]. 武汉: 武汉大学, 2010. (WANG Xiao-min. Analysis and simulation of dam deformation based on finite element method[D]. Wuhan: Wuhan University, 2010. (in Chinese))
[3]	袁峥. EV模型在大坝变形监测数据处理中的应用研究[D]. 南京: 河海大学, 2007. (YUAN Zheng. The study and application of EV model on deformation monitoring of dems[D]. Najning: Hohai University, 2007. (in Chinese))
[4]	曾凡祥, 李勤英. 基于LM算法的BP神经网络在大坝变形监测数据处理中的应用[J]. 水电自动化与大坝监测, 2008(5): 72-75. (ZENG Fan-xiang, LI Qin-ying. Application of BP Neural Network-based LM Algorithm to dammoni toring data processing[J]. Hydropower Automation and Dam Monitoring, 2008(5): 72-75. (in Chinese))
[5]	PYTHAROULI S I, STIROS S C. Ladon dam (Greece) deformation and reservoir level fluctuations: evidence for a causative relationship from the spectral analysis of a geodetic monitoring record[J]. Engineering Structures, 2005, 27(3): 361-370.
[6]	柴世杰. 基于CCD技术的大坝变形智能监测仪设计与开发[D]. 长沙: 湖南大学, 2011. (CAI Shi-jie. Design and development of dam deformation monitoring intelligent instrument based on CCD[D]. Changsha: Hunan University, 2011. (in Chinese))
[7]	阴学军. GPS在水电站大坝变形监测中的应用研究[D]. 成都: 西南交通大学, 2005. (YIN Xue-jun. Study on the application of dam deformation monitoring at hydropower station using GPS technique[D]. Chengdu: Southwest Jiaotong University, 2005. (in Chinese))
[8]	LI W, WANG C. GPS in the Tailings Dam Deformation Monitoring[J]. Procedia Engineering, 2011, 26: 1648-1657.
[9]	XU C, YUE D, DENG C. Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis[J]. Engineering Applications of Artificial Intelligence, 2012, 25(3): 468-475.
[10]	RANKOVI C V, GRUJOVI C N, DIVAC D, et al. Modelling of dam behaviour based on neuro-fuzzy identification[J]. Engineering Structures, 2012, 35: 107-113.
[11]	张连伟. 散乱点云三维表面重建技术研究[D]. 长沙: 国防科学技术大学, 2009. (ZHANG Lian-wei. Research on the technology of three-dimensional surface reconstruction from scattered point cloud[D]. Changsha: National University of Defense Technology, 2009. (in Chinese))
[12]	武剑洁. 基于点的散乱点云处理技术的研究[D]. 武汉: 华中科技大学, 2004. (WU Jian-jie. Research of point-based techniques on unorganized point cloud[D]. Wuhan: Huazhong University of Science and Technology, 2004. (in Chinese))
[13]	MONSERRAT O, CROSETTO M. Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 63(1): 142-154.
[14]	GONZÁLEZ-AGUILERA D, GÓMEZ-LAHOZ J, SÁNCHEZ J. A new approach for structural monitoring of large dams with a three-dimensional laser scanner[J]. Sensors, 2008, 8(9): 5866-5883.