基于计算机视觉的电缆支桥梁的张力估计,无需直接测量电缆的机械参数
German Michel Guzman-Acevedo1,2, Juan A Quintana-Rodriguez1, Guadalupe Esteban Vazquez-Becerra2
1Department of Vehicle Engineering and Structural Integrity, Mexican Institute of Transportation, San Fandila 76703, Mexico.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
这项研究引入了一种新的方法,可以在不需要电缆质量或长度的情况下估计电缆张力. 使用计算机视觉和历史数据,该技术为无法访问或未经记录的电缆提供了可行的替代方案.
科学领域:
- 结构工程 结构工程
- 振动分析 振动分析
- 非破坏性测试是指非破坏性测试.
背景情况:
- 估计电缆张力的传统方法通常需要对质量和长度等机械参数的了解,这些参数通常是不可用的.
- 现有的使用加速度计的间接方法需要这些精确的机械性能,这限制了它们在许多现实场景中的实际应用.
- 墨西哥维拉克鲁兹的里约帕帕洛阿潘桥 (Rio Papaloapan Bridge) 是一个案例研究,因为有线缆顶部料造的历史问题.
研究的目的:
- 提出和验证一种用于间接估计电缆张力的替代方法,避免直接测量机械参数的需要.
- 整合计算机视觉技术,以增强无接触式数据采集电缆振动频率.
- 评估在具有挑战性的结构条件下测定张力的拟议复合方法的可行性和准确性.
主要方法:
- 开发了一种间接估计方法,利用加速度计和液压升降机的历史数据.
- 采用计算机视觉方法远程测量智能手机录制的视频中的电缆振动频率.
- 在实验室环境中使用振动表验证了无接触方法,并对桥梁电缆进行了实地测试.
主要成果:
- 拟议的方法产生了结果与3.8%的差异,相比直接紧张估计由一个液压对13个桥梁电缆.
- 计算机视觉方法在现场测试中显示RMS误差约为2mHz,与加速度计测量相比,张力估计的差异不到3%.
- 从实验室和现场设置中的视频记录中成功验证振荡频率估计.
结论:
- 间接张力测定复合方法是当电缆难以进入或其机械参数未知时的可行和准确的替代方案.
- 集成计算机视觉为监控电缆紧张提供了一个实用的,非接触式解决方案,特别是在视线或可访问性有限的情况.
- 这种方法为电缆支结构的结构健康监测提供了具有成本效益和高效的解决方案.
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