Methods and research for deformation monitoring of earth and rock dams based on close-range photogrammetry

Kui Wang, Yang Cheng, Yong Xiong, Qiuqi Wang, M. Zhao
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Abstract

Traditional means of monitoring deformation in earth and rock dams encounter challenges such as low monitoring efficiency and limited coverage. Despite the potential of emerging technologies such as GPS and three-dimensional laser scanning, their adoption is expensive and hard to promote. This paper presents a deformation monitoring method for earth and rock dams based on the close-range photogrammetry technique. The proposed approach focuses on analytical algorithm the design and deployment of monitoring points, photographic schemes, camera checking and calibration, as well as deformation analysis methods. Initially, based on the analysis of the parsing algorithms’ applicability, they are fused to address the shortcomings of common image parsing methods in meeting the requirements of high precision and multi-image processing for deformation monitoring of earth and rock dams. Subsequently, the fused algorithm is introduced to analyze the acquired image data for 3D reconstruction, and the deformation in earth and rock dams is assessed based on the generated dense point cloud model. The proposed deformation monitoring method is applied to Pine Bridge Reservoir Dam, and the results demonstrated its capacity to comprehensively analyze the deformation. Furthermore, the required equipment is simple and easy to operate, aligning with the requirements for deformation monitoring accuracy of earth and rock dams.
基于近距离摄影测量的土石坝变形监测方法与研究
传统的土石坝变形监测手段面临着监测效率低、覆盖范围有限等挑战。尽管全球定位系统和三维激光扫描等新兴技术潜力巨大,但其应用成本高昂且难以推广。本文提出了一种基于近距离摄影测量技术的土石坝变形监测方法。该方法主要从监测点的设计与布设、摄影方案、相机检查与校准以及变形分析方法等方面进行分析。首先,在分析解析算法适用性的基础上,对其进行融合,以解决普通图像解析方法在满足土石坝变形监测高精度和多图像处理要求方面的不足。随后,引入融合算法对获取的图像数据进行三维重建分析,并根据生成的密集点云模型评估土石坝的变形情况。将所提出的变形监测方法应用于松树桥水库大坝,结果表明该方法具有全面分析变形的能力。此外,所需的设备简单且易于操作,符合土石坝变形监测精度的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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