Tunnel deformation evaluation by Mobile Mapping System

Shigeta, Yasuteru; Maeda, K.; Yamamoto, Hajime; Yasuda, Takatoshi; Kaise, S.; Maegawa, Kouji; Ito, Toshihide

doi:10.1201/9780429424441-328

Cited by 1 publication

(2 citation statements)

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“…The relationship between the minimum resolution and the recognition width was analyzed by analyzing the captured images. As illustrated in Figure 4, the cracks with a width of 0.1 mm can be distinguished with 1.5 mm/pixel [20]. Analysis of the test piece shows that the camera resolution can be 15 times the minimum crack width identification accuracy when identifying concrete cracks.…”

Section: Research On Image Acquisition System Of Lining Cracksmentioning

confidence: 99%

“…However, there is little research on the calculation of shooting parameters. Most systems require manual adjustment of shooting parameters during the detection process [20]. On the one hand, the operation time of the detection system is increased, and on the other hand, operators have to adjust parameters in the dangerous environment of on-service tunnels for a long time, which has a great negative impact on the imaging quality and shooting efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Design of Fast Acquisition System and Analysis of Geometric Feature for Highway Tunnel Lining Cracks Based on Machine Vision

Wang

Zhai

et al. 2022

Applied Sciences

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Under the dual effects of the rapid growth of tunnel mileage and operating years, the application and research of tunnel crack identification based on machine vision are increasing with the vigorous development of machine vision. However, due to the complex environment in tunnels, it is difficult to quickly obtain tunnel lining cracks via computer visions in the tunnel. Therefore, this paper presents the design of a fast acquisition system with the geometric feature analysis for tunnel lining cracks, which has been integrated into a tunnel fast inspection vehicle with a machine vision module. Through the research on the image acquisition system of the tunnel lining, the parameter selection of the crack shooting hardware system is determined, and the fast calculation method of shooting parameters is proposed. The geometric characteristic analysis of the tunnel lining crack image is employed to calculate crack width and determine the optimal gray value of crack extraction. Field tests have been conducted in the highway tunnels in Zhejiang and Yunnan provinces in China and the result indicates that the proposed approach yields much better performance in the detection efficiency, whose time of detection is only 1%, and the number of personnel required is only 40% of the traditional pure manual method. Compared with similar systems, it also has significant advantages in crack resolution and detection speed. This research provides a means of rapid acquisition of tunnel cracks and laying a foundation for the evaluation of the service performance of the tunnel.

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Section: Research On Image Acquisition System Of Lining Cracksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%