Intelligent Detection System for Metro Tunnel Lining Defects Based on Deep Learning Method

Intelligent Detection System for Metro Tunnel Lining Defects Based on Deep Learning Method

Objective The main defects on metro tunnel inner wall are cracks and water seepage. Current detection methods based on manual and semi-automatic equipment have problems such as high intensity, low efficiency, and low reliability. The intelligence-based detection/identification algorithm and detectio...

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Bibliographic Details
Main Authors: ZHANG Yue, HAN Jing, GUAN Qifeng, HOU Jue, LU Tingting, ZHANG Yaqin
Format: Article
Language:zho
Published: Urban Mass Transit Magazine Press 2024-09-01
Series:Chengshi guidao jiaotong yanjiu
Subjects:
metro
tunnel lining defect
intelligent detection
crack identification
water seepage identification
image algorithm
deep learning
Online Access:https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.09.056.html

Internet

https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2024.09.056.html

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