Civil Structural Health Monitoring - Proceedings of CSHM-8 Workshop
Civil Structural Health Monitoring - Proceedings of CSHM-8 Workshop
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土木结构健康监测 - CSHM-8 研讨会论文集
DOI：
10.1007/978-3-030-74258-4_24
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lydon D
中科院分区：
文献类型：
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作者：
Lydon D
本文将展示一种解决方案，用于检测损坏的桥梁结构，从测量的位移收集使用巡回视觉传感器为基础的方法。位移的测量是使用一个同步的多摄像机视觉位移测量系统完成的。位移测量可以提供一个有价值的洞察桥梁的结构状况和服务行为在活载下。计算机视觉系统作为位移计算的一种手段已经得到了验证，本文的研究旨在形成一个真实的实时损伤检测系统的基础。这是通过使用无监督的深度学习方法进行异常检测来实现的，这可以成为低成本持久替代方案的基础。该系统的性能进行了评估，在一系列的控制实验室测试。这项研究提供了一种方法，通过使用最小的传感器安装，减少潜在的错误来源，并允许潜在的活额定值的桥梁结构检测到的变化。
This paper will demonstrate a solution for detecting damage to a bridge structure from measured displacements gathered using a roving vision sensor based approach. The measurement of displacement was accomplished using a synchronised multi-camera vision-based displacement measurement system. Displacement measurements can provide a valuable insight into the structural condition and service behaviour of bridges under live loading. Computer Vision systems have been validated as a means of displacement calculation, the research developed here is intended to form the basis of a real time damage detection system. This is done through the use of unsupervised deep learning methods for anomaly detection which could form the basis of a low cost durable alternative. The performance of the system was evaluated in a series of controlled laboratory tests. This research provides a means of detecting changes to a bridge structure through use of minimal sensor installation, reducing potential sources of error and allowing for potential live rating of bridge structures.