葛志永 1王树国 1刘炎 2李红万 2蔡刚 2黄玉薇3
作者信息
- 1. 唐山市曹妃甸区市政园林工程有限公司,河北唐山 063210
- 2. 重庆桥安物联科技有限公司,重庆 401120
- 3. 北京科技大学未来城市学院,北京 100083||新疆工程学院土木工程学院,新疆维吾尔自治区乌鲁木齐 830023
- 折叠
摘要
Abstract
As the core part of urban infrastructure,the structural integrity of bridges is directly related to public safety and sustainable urban development.Traditional bridge deformation monitoring mainly relies on contact sensors such as accelerometers and strain gauges with problems such as cumbersome installation,high maintenance costs,and limited monitoring range.In recent years,radar technology(such as millimeter wave radar,synthetic aperture radar)and computer vision technology(such as image processing,deep learning,infrared thermal imaging)have been widely studied and applied in bridge deformation monitoring because of the non-contact,high-precision,and long-distance characteristics.Especially,millimeter wave radar is suitable for real-time monitoring of bridge displace-ment and vibration because of all-weather working ability.While computer vision technology can effectively identify surface damage such as cracks and peeling.The basic principles,key algorithms,and application results of the two types of technologies mentioned above in bridge static deformation,dynamic response,and disease identification were systematic reviewed.Furthermore,multi-modal fusion methods of the data level,feature level,and decision level were explored,the potential of fusion technology in improving the accuracy,stability,and intelligence of bridge deformation monitoring systems were emphasized.The research results indicate that multi-sensor systems of radar and vision technology will become the future trend of bridge health monitoring,and achieve efficient and com-prehensive evaluation of bridge structural status.关键词
桥梁变形监测/非接触检测/结构健康监测/雷达/视觉技术/多传感器融合Key words
bridge deformation monitoring/non contact detection/structural health monitoring/radar/visual tech-nology/multi-sensor fusion分类
信息技术与安全科学
