Research on Stay Cable Tension Estimation Based on Vision-Based Monitoring System
DOI:
https://doi.org/10.53469/jpce.2024.06(09).04Keywords:
Cable tension, Cable-stayed bridges, Computer vision, Structural health monitoringAbstract
The cables in cable-stayed bridges are the primary load-bearing components, making the accurate monitoring of cable tension crucial for assessing the service reliability of the cables and the overall safety of the bridge. This study presents the development of a non-contact, vision-based monitoring system utilizing computer vision technology for monitoring cable tension in cable-stayed bridges. The monitoring system comprises an industrial camera equipped with an infrared filter and an infrared target lamp, employing a sub-pixel template matching algorithm to achieve high-precision cable tension measurement under long-distance and multi-frequency motion conditions. Model experiments were conducted to validate the accuracy and stability of the vision-based monitoring system. Results from long-distance model experiments indicate that the system can accurately measure frequencies across various distances, with a maximum frequency error of only 0.05%. Additionally, results from multi-frequency model experiments demonstrate that the system can accurately measure multiple vibration frequencies, with a maximum frequency error of just 0.4%.
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Copyright (c) 2024 Lusheng Wang, Xin Gao
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
