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使用 3D 打印 RFID 阵列进行结构健康监测的位移估计。

Displacement Estimation Using 3D-Printed RFID Arrays for Structural Health Monitoring.

机构信息

Department of Mechanical and Product Design Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.

Data61, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, QLD 4069, Australia.

出版信息

Sensors (Basel). 2022 Nov 15;22(22):8811. doi: 10.3390/s22228811.

Abstract

Radio frequency identification (RFID) tags are small, low-cost, wearable, and wireless sensors that can detect movement in structures, humans, or robots. In this paper, we use passive RFID tags for structural health monitoring by detecting displacements. We employ a novel process of using 3D printable embedded passive RFID tags within uniform linear arrays together with the multiple signal classification algorithm to estimate the direction of arrival using only the phase of the backscattered signals. We validate our proposed approach via data collected from real-world experiments using a unipolar RFID reader antenna and both narrowband and wideband measurements.

摘要

射频识别 (RFID) 标签是小型、低成本、可穿戴和无线传感器,可以检测结构、人体或机器人的运动。在本文中,我们使用无源 RFID 标签通过检测位移来进行结构健康监测。我们采用了一种新颖的方法,即在均匀线性阵列中使用 3D 可打印嵌入式无源 RFID 标签,并结合多信号分类算法,仅使用反向散射信号的相位来估计到达方向。我们通过使用单极 RFID 读取器天线以及窄带和宽带测量从实际实验中收集的数据验证了我们提出的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/9697010/cdc2cabc04eb/sensors-22-08811-g004.jpg

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