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Open AccessArticle

Rapid Acquisition and Identification of Structural Defects of Metro Tunnel

by Qing Ai 1 and Yong Yuan 2,3,*
1
Department of Civil Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2
College of Civil Engineering, Tongji University, Shanghai 200092, China
3
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4278; https://doi.org/10.3390/s19194278
Received: 3 September 2019 / Revised: 25 September 2019 / Accepted: 30 September 2019 / Published: 2 October 2019
(This article belongs to the Section Physical Sensors)
Metro systems in urban cities demand rapid inspection methods, in order to identify critical structural defects in a timely manner. However, traditional inspection methods are only specific to one kind of structural defect, which reduces the overall efficiency of inspection. This study proposes an integrated solution for rapidly acquiring and identifying two kinds of structural defects (surface defects and cross-sectional deformation) in a metro tunnel, using a cart equipped with non-metric cameras. The integrity and rapidity are considered in formulating a systematic design for the development of the acquisition device. Methodologies based on image processing and photogrammetry are proposed to identify the structural defects of the metro tunnel. A series of on-site tests validate that the proposed method has enough speed and has acceptable accuracy in detecting critical structural defects of metro tunnels. The cost and efficiency analysis shows that the proposed method is competitive, which will greatly improve the efficiency and reduce the costs of the inspection of metro tunnels. View Full-Text
Keywords: inspection method; photogrammetry; image processing; metro tunnel; structural defects inspection method; photogrammetry; image processing; metro tunnel; structural defects
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Ai, Q.; Yuan, Y. Rapid Acquisition and Identification of Structural Defects of Metro Tunnel. Sensors 2019, 19, 4278.

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