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RF-Ear: Contactless Multi-device Vibration Sensing and Identification Using COTS RFID

机译:RF-Ear:使用COTS RFID的非接触式多设备振动感应和识别

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Mechanical vibration sensing/monitoring plays a critical role in today’s industrial Internet of Things (IoT) applications. Existing solutions usually involve directly attaching sensors to the target objects, which is invasive and may affect the operations of delicate devices. Non-invasive approaches such as video and laser methods have drawbacks in that, the former incurs poor performance in low light conditions, while the latter has difficulties to monitor multiple objects simultaneously.In this work, we design RF-Ear, a contactless vibration sensing system using Commercial off-the-shelf (COTS) RFID hardware. RF-Ear could accurately monitor the mechanical vibrations of multiple (up to 8) devices using a single tag: it can clearly tell which object is vibrating at what frequency without attaching tags on any device. RF-Ear can measure the vibration frequency up to 400Hz with a mean error rate of 0.2%. Our evaluation results show that RF-Ear can effectively detect 0.2cm screw loose with 90% accuracy. We further employ each device’s unique vibration fingerprint to identify and differentiate devices of exactly the same model. We also show that RF-ear can monitor not just the vibrations but also a large range of mechanical motions. Comprehensive experiments conducted in a real power plant demonstrate the effectiveness of our system with outstanding performance.
机译:机械振动感测/监视在当今的工业物联网(IoT)应用中扮演着至关重要的角色。现有的解决方案通常涉及将传感器直接附接到目标物体上,这是侵入性的并且可能影响精密设备的操作。视频和激光方法等非侵入性方法的缺点在于,前者在弱光条件下会导致性能下降,而后者则难以同时监视多个物体。在这项工作中,我们设计了RF-Ear,一种非接触式振动感应系统使用商用现货(COTS)RFID硬件。 RF-Ear可以使用单个标签准确地监视多个(最多8个)设备的机械振动:它可以清楚地分辨出哪个物体以什么频率振动,而无需在任何设备上附加标签。 RF-Ear可以测量高达400Hz的振动频率,平均错误率为0.2%。我们的评估结果表明,RF-Ear可以以90%的精度有效地检测到0.2cm的螺丝松动。我们进一步利用每台设备的独特振动指纹来识别和区分完全相同型号的设备。我们还表明,RF耳不仅可以监测振动,还可以监测大范围的机械运动。在真实的发电厂中进行的综合实验证明了我们系统的出色性能。

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