Making sense of mechanical vibration period with sub-millisecond accuracy using backscatter signals

ABSTRACT

Traditional vibration inspection systems, equipped with separated sensing and communication modules, are either very expensive (e.g., hundreds of dollars) and/or suffer from occlusion and narrow field of view (e.g., laser). In this work, we present an RFID-based solution, Tagbeat, to inspect mechanical vibration using COTS RFID tags and readers. Making sense of micro and high-frequency vibration using random and low-frequency readings of tag has been a daunting task, especially challenging for achieving sub-millisecond period accuracy. Our system achieves these three goals by discerning the change pattern of backscatter signal replied from the tag, which is attached on the vibrating surface and displaced by the vibration within a small range. This work introduces three main innovations. First, it shows how one can utilize COTS RFID to sense mechanical vibration and accurately discover its period with a few periods of short and noisy samples. Second, a new digital microscope is designed to amplify the micro-vibration-induced weak signals. Third, Tagbeat introduces compressive reading to inspect high-frequency vibration with relatively low RFID read rate. We implement Tagbeat using a COTS RFID device and evaluate it with a commercial centrifugal machine. Empirical benchmarks with a prototype show that Tagbeat can inspect the vibration period with a mean accuracy of 0.36ms and a relative error rate of 0.03%. We also study three cases to demonstrate how to associate our inspection solution with the specific domain requirements.

References

1. Alien, http://www.alientechnology.com.
2. EPC Gen2, EPCglobal. www.gsl.org/epcglobal.
3. ImpinJ ATID AB700 Handheld Reader, http://www.impinj.com/products/readers/atid-ab700-handheld/.
4. Impinj, Inc. http://www.impinj.com/.
5. ImpinJ TSL 1128 Handheld Reader. http://www.impinj.com/products/readers/tsl-1128-handheld/.
6. Lion Precision. http://www.lionprecision.com/.
7. LTK SDK. https://support.impinj.com.
8. Measurement Specialties. http://www.meas-spec.com/vibration-sensors.aspx.
9. Tagbeat. https://github.com/tagsys/tagbeat.
10. TagSee. https://github.com/tagsys/tagsee.
11. WISP, https://wisp.wikispaces.com/.
12. Yeon Antenna, http://www.yeon.com.tw/content/product.php?act=detail&c_id=43.
13. BLINK: A High Throughput Link Layer for Backscatter Communication, pages 1--14, 2012.
14. O. Abari, D. Vasisht, D. Katabi, and A. Chandrakasan. Caraoke: An e-toll transponder network for smart cities. In Proc. of ACM SIGCOMM, pages 297--310, 2015.
15. J. C. Brown. Musical fundamental frequency tracking using a pattern recognition method. The Journal of the Acoustical Society of America, 92(3):1394--1402, 1992.
16. M. Buettner, B. Greenstein, and D. Wetherall. Dewdrop: an energy-aware runtime for computational RFID. In Proc. of USENIX NSDI, 2011.
17. M. Buettner and D. Wetherall. An empirical study of UHF RFID performance. In Proc. of ACM MobiCom, page 223, 2008.
18. E. J. Candès, J. Romberg, and T. Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. Information Theory, IEEE Transactions on, 52(2):489--509, 2006.
19. P. Castellini, M. Martarelli, and E. P. Tomasini. Laser doppler vibrometry: Development of advanced solutions answering to technology's needs. Mechanical Systems and Signal Processing, 20(6):1265--1285, 2006.
20. D. M. Dobkin. The RF in RFID: UHF RFID in Practice. Newnes, 2012.
21. D. L. Donoho. Compressed sensing. IEEE Transactions on Information Theory, 52(4):1289--1306, 2006.
22. EPCglobal. Low level reader protocol (llrp). 2010.
23. J. Jia, Y.-W. Tai, T.-P. Wu, and C.-K. Tang. Video repairing under variable illumination using cyclic motions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(5):832--839, 2006.
24. I. Laptev, S. J. Belongie, P. Perez, and J. Wills. Periodic motion detection and segmentation via approximate sequence alignment. In Proc. of IEEE ICCV, 2005.
25. Y. Lei, Z. He, and Y. Zi. Application of an intelligent classification method to mechanical fault diagnosis. Expert Systems with Applications, 36(6):9941--9948, 2009.
26. V. Liu, A. Parks, V. Talla, S. Gollakota, D. Wetherall, and J. R. Smith. Ambient backscatter: wireless communication out of thin air. In Proc. of ACM SIGCOMM, 2013.
27. E. Lovelace, J. Sutton, and E. Salpeter. Digital search methods for pulsars. Nature, 222:231--233, 1969.
28. R. C. Maher and J. W. Beauchamp. Fundamental frequency estimation of musical signals using a two-way mismatch procedure. The Journal of the Acoustical Society of America, 95(4):2254--2263, 1994.
29. K. Otsuka, K. Abe, J.-Y. Ko, and T.-S. Lim. Real-time nanometer-vibration measurement with a self-mixing microchip solid-state laser. Optics letters, 27(15):1339--1341, 2002.
30. A. N. Parks, A. Liu, S. Gollakota, and J. R. Smith. Turbocharging ambient backscatter communication. In Proc. of ACM SIGCOMM, 2014.
31. N. Roy and R. R. Choudhury. Ripple ii: Faster communication through physical vibration. In Proc. of USENIX NSDI, 2016.
32. N. Roy, M. Gowda, and R. R. Choudhury. Ripple: Communicating through physical vibration. In Proc. of USENIX NSDI, 2015.
33. S. M. Seitz and C. R. Dyer. View-invariant analysis of cyclic motion. International Journal of Computer Vision, 25(3):231--251, 1997.
34. D. H. Staelin. Fast folding algorithm for detection of periodic pulse trains. In IEEE Proceedings, volume 57, pages 724--725, 1969.
35. I. R. Titze and D. W. Martin. Principles of voice production. The Journal of the Acoustical Society of America, 104(3):1148--1148, 1998.
36. A. Veeraraghavan, D. Reddy, and R. Raskar. Coded strobing photography: Compressive sensing of high speed periodic videos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
37. J. Wang, F. Adib, R. Knepper, D. Katabi, and D. Rus. Rf-compass: robot object manipulation using rfids. In Proc. of ACM MobiCom, 2013.
38. J. Wang, H. Hassanieh, D. Katabi, and P. Indyk. Efficient and reliable low-power backscatter networks. In Proc. of ACM SIGCOMM, pages 61--72. ACM, 2012.
39. J. Wang and D. Katabi. Dude, where's my card?: Rfid positioning that works with multipath and non-line of sight. In Proc. of ACM SIGCOMM, 2013.
40. J. Wang, D. Vasisht, and D. Katabi. Rf-idraw: virtual touch screen in the air using rf signals. In Proc. of ACM SIGCOMM, 2014.
41. W. Weaver Jr, S. Timoshenko, and D. Young. Vibration problems in engineering.
42. T. Wei, S. Wang, A. Zhou, and X. Zhang. Acoustic eavesdropping through wireless vibrometry. In in Proc. of ACM MobiCom, pages 130--141, 2015.
43. L. Yang, Y. Chen, X.-Y. Li, C. Xiao, M. Li, and Y. Liu. Tagoram: real-time tracking of mobile rfid tags to high precision using cots devices. In Proc. of ACM MobiCom, 2014.
44. L. Yang, P. Peng, F. Dang, C. Wang, X.-Y. Li, and Y. Liu. Anti-counterfeiting via federated rfid tags' fingerprints and geometric relationships. In Proc. of IEEE INFOCOM, 2015.
45. P. Zhang, P. Hu, V. Pasikanti, and D. Ganesan. EkhoNet: high speed ultra low-power backscatter for next generation sensors. In Proc. of ACM MobiCom, 2014.
46. R. Zhou, Y. Xiong, G. Xing, L. Sun, and J. Ma. Zifi: wireless lan discovery via zigbee interference signatures. In Proc. of ACM MobiCom, 2010.

Index Terms

• Computer systems organization

  • Embedded and cyber-physical systems

• Networks

  • Network types

    • Cyber-physical networks