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Traditional bridge cable stay detection has problems such as difficulty in detection and weak detection capabilities. This article studies the detection performance of intelligent detection robots on cable-stayed cables through experimental tests. The research results summarize the analysis and evaluation of the experimental data and point out that the intelligent detection robot combined with the proposed detection method has achieved significant improvements in indicators such as accuracy, recall rate, precision rate and F1 value. Experimental results show that the method is able to accurately detect defects in stay cables and provide detailed information about the type and location of defects. The results of this research provide an innovative solution for bridge maintenance and safety management and have broad application prospects. Future research can further optimize the design and algorithm of the intelligent inspection robot, expand its application in the field of bridge structure inspection, and combine big data and artificial intelligence technologies to further improve the accuracy and intelligence of bridge cable stay inspection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhenhui Song,Guangqian Peng,Pengfei Ju,Kehui Zhou,Yongchang Zhang, andCheng Yang
"Detection technology and detection methods of cable-stayed cables used in bridges based on intelligent detection robots", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309040 (8 April 2024); https://doi.org/10.1117/12.3025715
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Zhenhui Song, Guangqian Peng, Pengfei Ju, Kehui Zhou, Yongchang Zhang, Cheng Yang, "Detection technology and detection methods of cable-stayed cables used in bridges based on intelligent detection robots," Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309040 (8 April 2024); https://doi.org/10.1117/12.3025715