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Wireless displacement sensing system for bridges using multi-sensor fusion

机译:使用多传感器融合的桥梁无线位移传感系统

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Accurate displacement sensing or estimation is an important task for reliably assessing the condition of civil infrastructure such as bridges and buildings, because the structural displacement describes the behavior of a structure and indicates structural safety according to the design limit. However, it is difficult to directly measure the displacement of a bridge structure due to the inaccessibility of a reference point especially when bridges are built over a highway, a river or the sea. As an alternative, an indirect displacement estimation using two different types of measurements such as strain and acceleration (i.e., multimetric data) has been developed. While the approach has been seen as promising, the combination of the traditional sensing system based on wired sensors and the multimetric data-based algorithm is inappropriate or impractical in real-world applications of the approach. This paper proposes a new displacement sensing system by incorporating wireless sensor technology with the multimetric data-based algorithm, which can address the difficulties and issues found in the traditional sensing system to realize a practical means of measuring displacement in fullscale bridges. The proposed wireless displacement sensing system enables (a) timesynchronized acceleration and strain measurement, (b) high-precision strain sensing and (c) improved applicability due to the wireless communication as well as the previous two features. The effectiveness of the proposed system is experimentally verified in laboratory and fullscale experiments.
机译:准确的位移感测或估算对于可靠地评估诸如桥梁和建筑物等民用基础设施的状况是一项重要的任务,因为结构位移描述了结构的行为并根据设计极限指示了结构安全性。然而,由于参考点难以接近,因此难以直接测量桥梁结构的位移,特别是当在公路,河流或海洋上建造桥梁时。作为替代,已经开发出使用两种不同类型的测量值(例如应变和加速度)(即,多度量数据)的间接位移估计。尽管该方法被认为很有希望,但将基于有线传感器的传统传感系统与基于多指标数据的算法相结合在该方法的实际应用中是不合适或不切实际的。本文提出了一种将无线传感器技术与基于多指标数据的算法相结合的新型位移传感系统,可以解决传统传感系统中遇到的困难和问题,从而实现一种实用的全尺寸桥梁位移测量方法。所提出的无线位移传感系统能够实现(a)时间同步加速度和应变测量,(b)高精度应变传感,以及(c)由于无线通信以及前两个功能而提高了适用性。所提出系统的有效性已在实验室和大规模实验中进行了实验验证。

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