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Aug 12, 2020
Deformation Monitoring for Tunnel Surrounding Rock Based on Binocular Vision Systems
Authors: Xuan Zheng [email protected], Li-Ping Li [email protected], Xue Li [email protected], and Zhi Li [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
Tunnel surrounding rock deformation monitoring is an important technology to ensure the safety of tunnel construction. In order to make up for the shortcomings of existing measurement methods, which are greatly affected by the construction environment and difficult to effectively reflect the deformation trend, this paper proposes a tunnel surrounding rock deformation monitoring method based on binocular vision systems. Z.Y. Zhang’s calibration algorithm is used to calibrate the camera parameters, which is critical for accurate measurements. The binocular camera captures the surrounding rock images of the tunnel, and Gaussian filtering, edge detection, and least square fitting are used to realize the identification and three-dimensional coordinate calculation of feature points in low-quality surrounding rock images. The simulation results show that the proposed method can realize the accurate monitoring of tunnel surrounding rock deformation under the terrible construction environment and the precision can reach 0.1 mm within the effective measurement range.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1School of Electronic and Control Engineering, Chang’an Univ., Middle Section of S. 2nd Ring Rd., P.O. Box 710064, Xi’an, Shaanxi 710064, China. Email: [email protected]
2School of Electronic and Control Engineering, Chang’an Univ., Middle Section of S. 2nd Ring Rd., P.O. Box 710064, Xi’an, Shaanxi 710064, China. Email: [email protected]
3School of Electronic and Control Engineering, Chang’an Univ., Middle Section of S. 2nd Ring Rd., P.O. Box 710064, Xi’an, Shaanxi 710064, China. Email: [email protected]
4School of Electronic and Control Engineering, Chang’an Univ., Middle Section of S. 2nd Ring Rd., P.O. Box 710064, Xi’an, Shaanxi 710064, China. Email: [email protected]
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