视频图像测振技术对斜拉索索力的应用

以数码摄像头与PC机作为硬件设备，结合Matlab软件设计视频图像测振系统，采用该系统识别了斜拉索模型的1～4阶模态参数。采集索振动视频，将其分解为图像序列，经图像处理，得索边缘序列，取边缘各点的振动时程，经振动模态分析，得到索的频率、阻尼和振型，由频率识别索力。以力传感器所得索力数据作为参考，同通过视频图像测振技术得到的结果进行对比分析。结果表明，视频图像测振技术检测索振动可行且具有一些优势。随着光学硬件的进一步发展和测振软件系统的日益成熟，视频图像测振技术的工程应用前景光明。...

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Bibliographic Details
Published in实验室研究与探索 Vol. 36; no. 11; pp. 7 - 10
Main Author 徐旻杰;袁向荣;刘辉;陈泽贤;任张晨
Format Journal Article
LanguageChinese
Published 广州大学土木工程学院,广州,510006 2017
Subjects
多项式拟合
斜拉索
索力测量
边缘识别
高阶模态
cable force measurement
多项式拟合
边缘识别
edge recognition
索力测量
stay cable
高阶模态
斜拉索
polynomial fitting
higher-order modes
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Summary:以数码摄像头与PC机作为硬件设备，结合Matlab软件设计视频图像测振系统，采用该系统识别了斜拉索模型的1～4阶模态参数。采集索振动视频，将其分解为图像序列，经图像处理，得索边缘序列，取边缘各点的振动时程，经振动模态分析，得到索的频率、阻尼和振型，由频率识别索力。以力传感器所得索力数据作为参考，同通过视频图像测振技术得到的结果进行对比分析。结果表明，视频图像测振技术检测索振动可行且具有一些优势。随着光学硬件的进一步发展和测振软件系统的日益成熟，视频图像测振技术的工程应用前景光明。
Bibliography:the paper introduces a new technology for vibration which uses digital camera and PC as the hardware, and Matlab as software. The system is used to identify the first-order, second-order, third-order and fourth-order modal parameters for stay cables. The cable vibration video is collected, and is decomposed into the image sequence. Through image processing, cable edge sequence can be obtained;the edge vibration at each point in time history and vibration mode are then analyzed. Then cable frequency, damping and vibration type can be gotten, thecable forcecan be analyzed by frequency identification. Comparing with the data obtained byforce sensor, the video image vibration technology is feasible to detect cable vibration and has some advantages. With the further development of optical hardware and software, video image vibration technology has a brightprospect inengineering application.
XU Minjie, YUAN Xiangrong, LIU Hui, CHEN Zexian, REN Zhangchen （School of Civil Engineering, Guangzhou University, Guangzhou 5
ISSN:1006-7167