Capturing technology for displacement information of shaking table test structure based on digital image technique

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (5) : 139-148.

CHANG Mingyu1,2,SHEN Yusheng1,2,ZHANG Xi1,2,GAO Deng1,2,LUO Yang1,2,WANG Haokang1,2

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Abstract

Aiming at the demand for monitoring model box displacement, surrounding rock movement, and tunnel lining deformation in vibration table experiments, a self-correction technology for tilted images is proposed by combining Yolo-V2, improved Canny edge detection, Hough transform, and tilt correction technology. The technology corrects the tilted image to an image where the camera axis is perpendicular to the motion plane of the measuring point for analysis, solving the problem caused by the limitations of the size of the vibration table and the tunnel lining model, which makes it difficult to set up the camera position vertically above the motion plane of the measuring point for shooting, affecting the accuracy of the subsequent processing results, and improving the field of use for target tracking algorithms in structural displacement and deformation monitoring. At the same time, the tracking of the corrected image is completed through the kernel correlation filtering technology to form a complete monitoring system. The system was used for the seismic action test of a fault-crossing tunnel's toughened structure with earthquake resistance and anti-seismic performance. The displacement of the model box, the movement of the surrounding rock, and the deformation of the tunnel lining were monitored. The reliability of the system was verified by comparing the data collected using high-precision wire-type displacement meters and displacement sensors. The results show that when there are markers at the monitoring points, and after correcting the acquired results for the tilted image, the 2-norm of the monitoring results compared with the displacement sensor is less than 0.005; when it is difficult to post markers, the precision of the tracking of the surface feature on the structure reaches 97.5%. The experimental results prove that the automatic correction technology for tilted images has high reliability in tracking images without markers for non-standard labels.

Key words

Shaking table experiment / Deformation monitoring / Canny / Tilt correction / Target tracking

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CHANG Mingyu1,2,SHEN Yusheng1,2,ZHANG Xi1,2,GAO Deng1,2,LUO Yang1,2,WANG Haokang1,2. Capturing technology for displacement information of shaking table test structure based on digital image technique[J]. Journal of Vibration and Shock, 2024, 43(5): 139-148

References

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