Method for Identifying Leakage Water in the Tunnel Lining Based on Infrared Image Enhancement and Engineering Application

被引：0
|
作者：
Wang K. [1 ]
Liu J. [1 ,3 ]
Lü G. [1 ]
Han B. [2 ]
Wang J. [1 ]
Xie Q. [1 ]
机构：
[1] School of Qilu Transportation, Shandong University, Jinan
[2] School of Civil Engineering, Shandong University, Jinan
[3] Shandong Research Institute of Industrial Technology, Jinan
来源：
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2023年 / 31卷 / 06期
关键词：
defect identification; image enhancement; infrared thermal image; leakage location; non-destructive detection; tunnel engineering; tunnel lining;
D O I：
10.16058/j.issn.1005-0930.2023.06.006
中图分类号：
学科分类号：
摘要：
In response to the challenges of low target contrast and significant background interference in the thermal imaging detection of tunnel water leakage, a thermal image grayscale gain mapping function and a crack identification and localization algorithm process are proposed. Firstly,the temperature field data of the leakage water lining is extracted,and a segmented mapping function is employed to compress the grayscale mapping of the background area,while stretching the grayscale mapping of the target area for improved recognizability.Subsequently, the optimal threshold range of the temperature field is determined,leading to the binarization of the infrared thermal image. Finally, the lining cracks are identified using the Canny edge detection algorithm,with the pixel coordinates of the target area being indexed using a traversal algorithm.Additionally,a thermal image detection experiment for simulated tunnel environment with leaking water and damaged lining is conducted,demonstrating that the proposed grayscale mapping function enhances the thermal image.The efficacy of this identification and localization method has been successfully applied to the lining damage detection of Jinan Kaiyuan Tunnel in China,providing a technical reference for similar tunnel engineering inspections. © 2023 Editorial Board of Journal of Basic Science and. All rights reserved.
引用
收藏
页码：1444 / 1460
页数：16
相关论文
共 32 条
  • [1] Tian Siming, Wang Wei, Gong Jiangfeng, Development and prospect of railway tunnels in china (including statistics of railway tunnels in china by the end of 2020), Tunnel Construction, 41, 2, pp. 308-325, (2021)
  • [2] Lin Peng, Xu Guanglu, Xu Zhenhao, Et al., Rapid identification of alteration zone based on in-situ spectral testing of rock mineral in tunnelling, Journal of Basic Science and Engineering, 29, 5, pp. 1093-1107, (2021)
  • [3] Pan Hongke, Li Shen, Yang Linde, The artificial intelligence prediction study of durability life on underground concrete structures, Journal of Basic Science and Engineering, 18, 5, pp. 784-791, (2010)
  • [4] Xue Fuchun, Zhang Jianmin, Ma Jianlin, Et al., Elaborate analysis method for vibration deformation instrongly-coupled vehicle-track-subgrade-foundation broad system due to vehicle operation, Journal of Basic Science and Engineering, 31, 1, pp. 81-102, (2023)
  • [5] Liu Tingjin, Zhu Hehua, Xia Caichu, Et al., Analysis of site investigation of cracking and leakage on arcade tunnel lining of yunnan province, China Journal of Highway and Transport, 2, pp. 65-68, (2004)
  • [6] Gao Chenglu, Li Shucai, Lin Chunjin, Et al., Development and application of model test system for water leakage disease in tunnel lining, Rock and Soil Mechanics, 40, 4, pp. 1614-1622, (2019)
  • [7] Xu Zhenhao, Shao Ruiqi, Lin Peng, Et al., Adverse geology identification in tunnel: method, research status and intelligent development direction, Acta Geoscientica Sinica, pp. 1-21
  • [8] Zou Yulin, He Chuan, Zhou Yi, Et al., Statistics and cause analysis of leakage diseases in operating expressway tunnels in chongqing, Journal of Highway and Transportation Research and Development, 30, 1, pp. 86-93, (2013)
  • [9] Wang H, Huang H, Feng Y, Et al., Characterization of crack and leakage defects of concrete linings of road tunnels in China[J], Asce-Asme Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering, 4, 4, (2018)
  • [10] Wu C, Huang H., Laser scanning inspection method and application for metro tunnel leakage [ J ], Journal of Natural Disasters, 27, 4, pp. 59-66, (2018)
1234