基于边缘线追踪的斜拉桥拉索振动频率识别

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (19) : 153-162.

论文

基于边缘线追踪的斜拉桥拉索振动频率识别

薛浩，彭珍瑞，殷红

作者信息 +

Identification of cable vibration frequency for cable-stayed bridge based on edge line tracking

XUE Hao, PENG Zhenrui, YIN Hong

Author information +

文章历史 +

摘要

针对传统频率法在斜拉桥拉索频率识别中存在传感器布置困难、检测效率低、实现成本高的问题，提出基于拉索边缘线追踪的方法，借助智能手机采集的拉索振动视频，开展了复杂工况下的斜拉桥拉索振动频率识别。首先，引入大津法计算图像感兴趣区域(Region of Interest, ROI)阈值，利用阈值自适应的Canny-Hough算子进行拉索亚像素边缘检测，定位拉索边缘线的亚像素位置。其次，计算边缘线相对于ROI原点的距离得到拉索振动位移，将位移信号进行逐次变分模态分解(Successive Variational Mode Decomposition, SVMD)以减少相机振动和其他噪声的干扰。最后，将降噪后的位移信号进行傅里叶变换识别拉索振动频率。对斜拉桥模型和户外人行桥斜拉索进行试验测试，结果表明即使在复杂工况下，所提方法仍可有效识别拉索的振动频率。

Abstract

To address the challenges of complex sensor placement, low detection efficiency, and high implementation costs associated with traditional frequency methods for identifying cable-stayed bridges, a cable edge tracking method is proposed. The video of cable vibration under complex working conditions can be collected using a smartphone. This research focuses on identifying the vibration frequency of the cables in a cable-stayed bridge. Firstly, the threshold of the region of interest (ROI) in the image is calculated using Otsu's method. Sub-pixel edge detection is carried out on the cables using the Canny-Hough operator with adaptive threshold, which helps locate the sub-pixel position of the edge lines of the cables. Secondly, the change in distance of the edge line from the ROI origin is calculated to obtain the cables vibration displacement. This displacement signal is then processed using Successive Variational Mode Decomposition (SVMD) to minimize interference from camera vibration and other noises. Finally, the denoised displacement signal is Fourier transformed to identify the vibration frequency of the cable. Experimental tests were conducted on cable-stayed bridge models and outdoor pedestrian bridge cables. The results demonstrate that the proposed method is effective in identifying the vibration frequency of the cable-stayed cables even under complex working conditions.

导出引用

薛浩, 彭珍瑞, 殷红. 基于边缘线追踪的斜拉桥拉索振动频率识别[J]. 振动与冲击, 2024, 43(19): 153-162

XUE Hao, PENG Zhenrui, YIN Hong. Identification of cable vibration frequency for cable-stayed bridge based on edge line tracking[J]. Journal of Vibration and Shock, 2024, 43(19): 153-162

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