通过基于视频和基于振动的测量,对未校准的电缆力进行实验验证和快速估计
Yanhao Li1,2, Ufuoma Joseph Udi1, Mustafasanie M Yussof1
1School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia.
The Review of scientific instruments
|March 27, 2024
概括
本研究介绍了一种基于智能手机的简单,快速和准确的方法,用于估计桥梁中的电缆力. 它使用计算机视觉分析电缆振动,实现高精度而不需要校准.
科学领域:
- 结构工程 结构工程
- 计算机视觉 计算机视觉
- 土木工程 土木工程是指土木工程.
背景情况:
- 电缆强度对于有线桥的安全性和性能至关重要.
- 传统的电缆力测试方法有其局限性.
- 计算机视觉技术的进步为结构性监控提供了新的可能性.
研究的目的:
- 开发和验证一种使用智能手机视频估计电缆力的新型,非接触式方法.
- 加强现有的计算机视觉技术,以提高结构监测的准确性.
- 为了克服传统电缆力测量技术的局限性.
主要方法:
- 使用智能手机视频捕捉电缆振动.
- 采用背景减去,图像形态和Hough转换来追踪目标.
- 使用循环系数 (CC) 进行动作模糊图像处理.
- 通过快速里叶变换 (FFT) 确定基本频率以估计力.
主要成果:
- 实现的频率测量误差低于1.2%.
- 证明电缆强力测试误差小于3%.
- 通过使用像素作为位移单位,消除了对图像校准的需求.
- 成功地识别了目标坐标,即使在使用CC的运动模糊的情况下.
结论:
- 拟议的基于智能手机的视频分析方法简单,快速和准确,用于电缆力估计.
- 循环系数有效地处理结构监测中的运动模糊目标.
- 这种方法为传统的电缆强度测试方法提供了切实可行的替代方案.
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