A novel high-precision photogrammetric technique for monitoring subway tunnel deformation

被引：2
|
作者：
Zhu, Aixi [1 ]
机构：
[1] Jiangsu Vocat Coll Informat Technol, Wuxi 214153, Peoples R China
来源：
STRUCTURES | 2023年 / 55卷
关键词：
Subway tunnel; Deformation monitoring; Digital image; Template matching; Up-sampling; Normalized correlation coefficient; INSAR;
D O I：
10.1016/j.istruc.2023.07.017
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper presents a low cost and high precision tunnel deformation monitoring system based on network camera photogrammetry. The system uses digital image technology to analyze and process the reflective mark of the tunnel structure monitoring section in real time, enabling real-time monitoring and early warning of deformations in the tunnel structure. This paper focuses on how to effectively improve the monitoring accuracy of image analysis technology in photogrammetric system, specifically by achieving a deformation accuracy of 0.1 mm through the use of images with a resolution of 1 mm/pix. The robustness of the analysis algorithm and methods of optimizing and reducing the computational efforts of the algorithm for real-time analysis are also discussed. The effectiveness of these methods is verified through the deformation monitoring of the Tianjin subway tunnel.
引用
收藏
页码：2217 / 2231
页数：15
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