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结构振动测量的无标记计算机视觉方法

Markerless computer vision methods for structural vibration measurements

  • 摘要: 通过高速摄影机拍摄结构的时域振动位移视频,基于视频逐帧图像建立其灰度图像的像素强度场,并提取相位信息。基于光流算法和图像相位信息,建立光流方程和求解方式,计算图像中每个像素在不同时刻的瞬时速度场,获取时域振动信息。考虑图像拍摄仅获取结构运动信息而无法测量激励信号的问题,利用奇异值分解算法达到了模态分离并提取振动模态信息的目的。与传统振动测量方法对比,通过本文所提方法获取的振动模态信息具有空间分辨率高的优点,并通过实验验证,证明了本文所提方法的有效性。

     

    Abstract: The time-domain vibration displacement video of the structure was captured by a high-speed camera, establish the pixel intensity field of its grayscale image based on video frame-by-frame image information and extract the phase information. The optical flow equation and solution method are defined Based on optical flow algorithm and image phase information, calculat the instantaneous velocity field of each pixel in the image at different time is to obtain the time-domain vibration information. Considering the problem that only the structural motion information can be obtained but the excitation signal cannot be measured in image progress, the singular value decomposition algorithm is used to achieve the purpose of modal separation and vibration modal information extraction. The vibration modal information obtained by the proposed method has the advantage of high spatial resolution, and the effectiveness of the proposed method is verified by experiments compared with traditional vibration measurement methods,

     

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