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Camera-based Bridge Safety Monitoring

机译:基于摄像机的桥梁安全监控

摘要

This paper describes a research project focused on the safety assessment of bridges using camera-based technologies. It is a collaboration with partners in three countries: Ireland, the United Kingdom and the United States. A major challenge of the project is the development of algorithms and methods that transform the measured sensor signals and video images into a form that is highly damage-sensitive/ change-sensitive for bridge safety assessment. The study will exploit the unique attributes of computer vision systems, where the signal is "continuous in space". This research will significantly advance current sensor-based structural health monitoring with computer-vision techniques, leading to practical applications for damage detection of complex structures with a novel approach. In the long term, monitoring with cameras is expected to be more broadly utilized for structural engineering purposes because of its potential for inexpensive deployment in real life bridges. While advancing the knowledge by integrating multidisciplinary concepts from theory to application, this research will have direct benefits as civil infrastructure (and particularly aged bridges) has become a critical societal concern from safety and cost perspectives. The paper will describe the bridge monitoring system that will be developed. It will include a weigh-in-motion (WIM) system to weigh vehicles, with cameras to monitor both the traffic and the bridge. The WIM system and the 1st camera will track the traffic and will extract its properties. The 2nd camera with some supplementary sensors will monitor the response of the bridge to the traffic. Structural identification algorithms will transform all of this data into damage indicators that indicate when the bridge has deteriorated or changed. The system will be tested using numerical simulation, scale models in the laboratory and trials using full scale bridges in the field.
机译:本文介绍了一项研究项目,该项目专注于使用基于摄像头的技术对桥梁进行安全评估。它是与三个国家/地区的合作伙伴进行的合作:爱尔兰,英国和美国。该项目的主要挑战是开发算法和方法,以将测量的传感器信号和视频图像转换为对桥梁安全性评估高度敏感/对变化敏感的形式。这项研究将利用计算机视觉系统的独特属性,其中信号是“连续的”。这项研究将通过计算机视觉技术显着推进当前基于传感器的结构健康监测,从而通过一种新颖的方法将其应用于复杂结构的损伤检测的实际应用。从长远来看,由于摄像机在现实生活中的桥梁中进行廉价部署的潜力,因此有望将其广泛用于结构工程目的。从理论到应用整合多学科概念来增进知识的同时,由于从安全和成本的角度来看,民用基础设施(尤其是老化的桥梁)已成为社会关注的关键问题,因此本研究将直接受益。本文将描述将要开发的桥梁监控系统。它将包括一个用于称重车辆的动态称重(WIM)系统,并带有用于监视交通和桥梁的摄像头。 WIM系统和第一个摄像头将跟踪流量并提取其属性。带有一些辅助传感器的第二个摄像头将监视桥对交通的响应。结构识别算法会将所有这些数据转换为损坏指示符,以指示桥梁何时变质或发生变化。该系统将使用数值模拟进行测试,在实验室中使用比例模型,并在现场使用全尺寸桥梁进行试验。

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