摘要
为克服传统桥梁监测技术施工难、成本高和观测点少等不足,利用视觉技术实现了非接触式桥梁振动状态监测。该方法包含视频数据采集、视频数据分析与结果可视化等3个环节。其中,视频数据分析环节又包含3个步骤:首先,对视频中的稳定像素点进行定位;然后,根据视频中稳定像素点的数值变化,由视频数据挖掘方法建立视频热噪声模型;最后,由视频热噪声模型计算出视频中桥梁各局部位置上的振动频率。实验结果表明,该方法可有效侦测到桥梁可见结构部件上出现的人眼不易察觉的微弱振动,并对桥梁不同局部位置上出现的振动频率进行同步定量测算,从而提供了一种便捷高效、成本合理、通用性好的桥梁结构健康监测新途径。
To overcome the defects of traditional bridge health monitoring methods,visual technology is employed for non-contact bridge vibration monitoring.The method consists of video data acquisition,video data analysis and results visualization.And the viedo data analysis contains three steps.First,the stable pixels of a video are located.Then,a video thermal noise model is built via video data mining by tracking the variations of all stable pixels of the video.At last,the vibration frequency of each local position of the bridge in the video is calculated by the thermal noise model.The experimental results show that the method can effectively detect the imperceptible tiny vibrations in visible structure components of bridges,and it can measure the frequencies of vibrations in different local positions of bridges quantitatively and synchronously.Therefore,the method can provide a novel bridge structure health monitoring approach that is convenient,low-cost and universal.
作者
张睿
童玉娟
ZHANG Rui TONG Yujuan(State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, P.R.China College of Mechanical Engineering, Quzhou University, Quzhou 324000, Zhejiang, P.R.China)
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第9期8-18,共11页
Journal of Chongqing University
基金
浙江省科技计划资助项目(2014C33011)
浙江省自然科学基金资助(LY15F020042)
国家自然科学基金资助(61502273)
校级科研启动经费资助项目(BSYJ201415)
校级科学研究基金项目(KY1303)~~
关键词
桥梁健康监测
桥梁振动
视频数据挖掘
非接触式测量
bridge health monitoring
bridge vibration
video data mining
non-contact measuring
