基于光传感器和WSN的SHM系统结构改进

A. Zrelli, T. Ezzedine
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引用次数: 4

摘要

土木结构的稳定性是桥梁、建筑物、隧道、矿山、水坝、飞机或其他老化结构的老化需要考虑的主要问题之一。因此,土木结构特别是隧道和桥梁的安全是土木工程中的一个重要问题。因此,结构健康监测在现代社会中越来越成为一个重要的领域,这也是为什么一些研究人员对这一主题感兴趣,他们试图用新颖的技术来监测不同的土木结构。此外,更重要的是,SHM系统现在被用来量化结构状态的变化。因此,通过SHM系统,我们可以推断出诸如容量和剩余寿命等预后方面的信息。SHM从智能结构的广阔领域中脱颖而出。SHM包括横向学科,如信号处理,传感器操作,光纤传感器(OFS),无线网络设计等。在本文中,我们有兴趣利用新兴技术提出一种增强的SHM系统架构,我们的目标是研究基于光纤传感器的无线隧道健康监测' WTHM '和无线网桥健康监测' WBHM '。本文以突尼斯“Rades-La Goulette”大桥为例,提出在该桥上使用光纤传感器和无线传感器网络“wsn”。此外,我们还尝试使用增强系统的拉曼、布里渊和FBG传感器来测量损伤,特别是温度、应变和压力。为此,本文提出了一种基于光学和无线传感器网络的SHM系统增强架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced architecture for SHM system based on optical sensor and WSN
Stability of civil structures is one of the main issues to be considered for the aging of bridges, buildings, tunnels, mines, dams, aircraft or other aging structures. They must be checked correctly, thus, security of civil structures, especially tunnels and bridges, pose a great matter for civil engineering. Therefore, Structural health monitoring ‘SHM’ takes more and more an important area in modern society, that's why several researchers are interested in this topic, new, they try to use novel technology to monitor different civil structures. Furthermore and more importantly, SHM systems are now used to quantify the change in state of the structure. Hence, through SHM systems we can deduce about the prognosis aspects such as capacity and remaining life. SHM has emerged from a vast field of intelligent structures. SHM encompassed lateral disciplines such as signal processing, sensor operation, optical fiber sensor (OFS), wireless network design, etc. In this paper, we are interested to advance an enhanced architecture of SHM system using emerging technologies, we aim to investigate wireless tunnel health monitoring ‘WTHM’ and wireless bridge health monitoring ‘WBHM’ based on optical fiber sensor. We treat the case of bridge "Rades-La Goulette" in Tunisia, we propose to use optical fiber sensors and wireless sensor networks "wsn" in this bridge. As well, we try to measure damage especially temperature, strain and pressure using Raman, Brillouin and FBG sensors using our enhanced system. To this end, we propose in this paper an enhanced architecture for SHM system based on optical and WSN.
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