Intelligent Detection System for Metro Tunnel Lining Defects Based on Deep Learning Method
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 9
Abstract
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 detection system should be studied to realize informative and intelligent detection for metro tunnel lining defects. Method The current status of metro tunnel defect inspection technology is analyzed, and a set of algorithms applicable to the identification of metro tunnel lining defects are put forward, mainly including image processing algorithm, defect category detection algorithm, and defect grading detection algorithm, etc. Four indexes are chosen to evaluate the detection effect of the identification algorithm. Furthermore, an intelligent detection system for metro tunnel lining defects based on deep learning method is established from both software and hardware aspects. Finally, the system is implemented on Beingjing Metro Line 3 to analyze the reliability of its on-site application. Result & Conclusion After the application of the intelligent detection system, the detection rate of metro tunnel lining crack defects reaches 91.95% with a false detection rate of 0.89%. The detection rate of seepage defect is 93.83% and the false detection rate 0.65%. This system can be used as the core intelligent detection platform of metro tunnel, effectively detecting various defects in metro tunnel.
Authors and Affiliations
Yue ZHANG, Jing HAN, Qifeng GUAN, Jue HOU, Tingting LU, Yaqin ZHANG
Keywords
Related Articles
- EP ID EP744364
- DOI 10.16037/j.1007-869x.2024.09.056
- Views 57
- Downloads 0
Train In-station Coupling and Decoupling Scheme for Shanghai Metro Line 16
Objective Shanghai Metro Line 16 adopts a flexible marshalling operation mode, but it takes a long time for the train to complete the coupling and decoupling process, leading to great difficulty in train operation organi...
TBM Selection Optimization and Tunneling Parameter Control in Complex Offshore Strata for Urban Rail Transit
[Objective] In order to improve the formation adaptability of the tunnel boring machine (shorten as TBM) and solve the problem of TBM selection for the west extension section of Qingdao Metro Line 2 (hereinafter referred...
From Fragmentation to Integration: Public Space Reconfiguration of Shanghai Rail Transit Baoshan Road Transfer Station
[Objective] To analyze the impact of urban rail transit infrastructure transformation on urban public space and its integration strategies, it is necessary to investigate the preconditions and specific requirements for u...
New Network Architecture for Urban Rail Transit Video Surveillance System Based on SDN and NFV Technologies
Objective The video surveillance system of Shanghai urban rail transit faces challenges such as insufficient flexibility, poor scalability, and complex operation and maintenance. In response, a new network architecture f...
Failure Fault Analysis and Improvement Recommendations for Axlebox Bearing Failures in Metro Vehicle
［Objective］ Axlebox bearing failures in metro vehicles can lead to wheelset seizing, resulting in scenarios ranging from passenger evacuation and vehicle rescue to severe incidents such as interval blockages or even de...