湖南大学学报（自然科学版）2024，Vol.51Issue(11)：158-166,9.DOI:10.16339/j.cnki.hdxbzkb.2024117
基于改进LSD的斜拉桥索力非接触鲁棒识别
Robust Non-contact Recognition of Cable Forces in Cable-stayed Bridges Based on Improved LSD
摘要
Abstract
The cable is a key load-bearing component of cable-stayed bridges,and its stress state is an important indicator for assessing the safety of bridge structures.Accurate measurement of cable forces is crucial to ensure the safety of the bridge.Based on this,this paper establishes a set of cable force identification system for cable-stayed bridges that can achieve long-distance,non-target,and high-precision measurements.The system utilizes an improved line segment detector(LSD)to track the cables and identify their vibration information.The valid vibration signals of the cables are then discretely extracted using the variational mode decomposition(VMD)method to obtain their frequency information.Finally,the cable forces are estimated using the vibration frequency method based on the cable's frequency information.The accuracy and robustness of the improved LSD and the cable force identification system are confirmed through experiments conducted in the laboratory on a model with a large slenderness ratio and low pixel ratio,as well as cable force identification on a large-span cable-stayed bridge.In the laboratory experiment using a steel ruler model,the improved LSD identified the vibration information of the ruler with an error of only 0.63%compared with the laser displacement sensor.In the experiment on a large-span cable-stayed bridge,the error in the identified cable forces by the system compared with the contact sensors was less than 3.0%.Both experiments demonstrate that the proposed system can accurately identify cable forces in complex engineering field environments.关键词
桥梁工程/索力测量系统/计算机视觉/直线检测/无靶标识别Key words
bridge engineering/cable force measurement system/computer vision/straight line detection/no target recognition分类
交通工程引用本文复制引用
朱前坤,崔亚歌,王宪玉,杜永峰..基于改进LSD的斜拉桥索力非接触鲁棒识别[J].湖南大学学报（自然科学版）,2024,51(11):158-166,9.基金项目
国家自然科学基金资助项目(52168041),National Natural Science Foundation of China(52168041) （52168041）
甘肃省重点研发计划资助项目(22YF11GA301),Gansu Province Key Research and Development Program(22YF11GA301) （22YF11GA301）
