Research on a Detection Method for Loosening of High-Strength Bolts Based on Image Recognition Techniques

GUO Zhenzhu; ZHAO Wei; CHEN Hanshen; LYU Shuo

doi:10.13204/j.gyjzG21042001

Volume 52 Issue 2

Feb. 2022

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2022 > 52(2): 175-179,195

ZHAO Jinjie, LI Jiaxing, YANG Yongxin, HE Jun, TANG Qihong, WANG Tao, LI Kun. EFFECT OF BASALT FLAKE ON ADHESION OF COATING[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(4): 199-203. doi: 10.13204/j.gyjzG20051402

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GUO Zhenzhu, ZHAO Wei, CHEN Hanshen, LYU Shuo. Research on a Detection Method for Loosening of High-Strength Bolts Based on Image Recognition Techniques[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(2): 175-179,195. doi: 10.13204/j.gyjzG21042001

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Research on a Detection Method for Loosening of High-Strength Bolts Based on Image Recognition Techniques

doi: 10.13204/j.gyjzG21042001

1. School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212000, China;
2. Zhejiang College of Communications Ministry of Education, Collaborative Innovation Center for Application of Highway and Waterway Steel Bridge, Hangzhou 311112, China;
3. School of Civil Engineering, Qingdao University of Technology, Qingdao 266525, China

Received Date: 2021-04-20
Available Online: 2022-06-30
Publish Date: 2022-02-20

Abstract

Abstract

Aiming at the low efficiency of manual batch inspection for high-strength bolts steel bridge and the high cost of contact sensing equipment, a detection method for the loosening of high strength bolts based on image recognition was proposed. Through the recognition algorithm for the position of bolt corner, the bolt pattern samples were processed by constructing white mask, removing small noise and segmenting ROI of the region of interest to determine the position coordinates of bolt corner. The bolt loosening angle was calculated by using the camera imaging similarity mapping principle, and the preload loss was evaluated according to the relation between the loosening angle and the preload. Then specimens were collected by rotating 10°, 20°, and 30°of different types of bolts at different horizontal viewing angles, and inputed them into the algorithm for experimental verification.The results showed that the accuracy of bolt looseness detection based on the method was over 90%, which could meet the requirements of engineering inspection and effectively evaluate the loss of preload of high-strength bolts.
- loosening of bolt,
- algorithm,
- images,
- feature points

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References

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Research on a Detection Method for Loosening of High-Strength Bolts Based on Image Recognition Techniques

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Research on a Detection Method for Loosening of High-Strength Bolts Based on Image Recognition Techniques

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