重庆大学学报2017，Vol.40Issue(9)：8-18,11.DOI:10.11835/j.issn.1000-582X.2017.09.002
视频数据挖掘的非接触式桥梁振动监测
Non-contact bridge vibration monitoring based on video data mining
摘要
Abstract
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.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Key words
bridge health monitoring/bridge vibration/video data mining/non-contact measuring分类
信息技术与安全科学引用本文复制引用
张睿,童玉娟..视频数据挖掘的非接触式桥梁振动监测[J].重庆大学学报,2017,40(9):8-18,11.基金项目
浙江省科技计划资助项目(2014C33011) （2014C33011）
浙江省自然科学基金资助(LY15F020042) （LY15F020042）
国家自然科学基金资助(61502273) （61502273）
校级科研启动经费资助项目(BSYJ201415) （BSYJ201415）
校级科学研究基金项目(KY1303).Supported by Science and Technology Program of Zhejiang Province(2014C33011),Natural Science Foundation of Zhejinan Province(LY15F020042),National Natural Science of Foundation (61502273),and Research Foundation of Quzhou University(BSYJ201415,KY1303). （KY1303）
