DOI QR코드

DOI QR Code

Remote structural health monitoring systems for next generation SCADA

  • Kim, Sehwan (Department of Electrical and Computer Engineering, Univ. of California) ;
  • Torbol, Marco (Department of Civil and Environmental Engineering, Univ. of California) ;
  • Chou, Pai H. (Department of Electrical and Computer Engineering, Univ. of California)
  • Received : 2012.06.11
  • Accepted : 2012.11.30
  • Published : 2013.05.25

Abstract

Recent advances in low-cost remote monitoring systems have made it possible and practical to perform structural health monitoring (SHM) on a large scale. However, it is difficult for a single remote monitoring system to cover a wide range of SHM applications due to the amount of specialization required. For the remote monitoring system to be flexible, sustainable, and robust, this article introduces a new cost-effective, advanced remote monitoring and inspection system named DuraMote that can serve as a next generation supervisory control and data acquisition (SCADA) system for civil infrastructure systems. To evaluate the performance of DuraMote, we conduct experiments at two representative counterpart sites: a bridge and water pipelines. The objectives of this article are to improve upon the existing SCADA by integrating the remote monitoring system (i.e., DuraMote), to describe a prototype SCADA for civil engineering structures, and to validate its effectiveness with long-term field deployment results.

Keywords

References

  1. Bakar, A. A., Din, M.M. Yussof, S., Ghapar, A.A., Rusli, M.E. and Chang, G.C. (2007), "Using wireless sensor networks for detecting leakage in water pipes", In Proceedings ACRS 2007, Asian Association on Remote Sensing (AARS), November.
  2. Bennett, P.J., Soga, K., Wassell, I., Fidler, P., Abe, K., Kobayashi, Y. and Vanicek, M. (2010), "Wireless sensor networks for underground railway applications: Case studies in Prague and London", Smart Struct. Syst., 6(5-6),619-639. https://doi.org/10.12989/sss.2010.6.5_6.619
  3. Brincker, R., Zhang, L.M. and Andersen, P. (2001), "Modal identification of output-only systems using frequency domain decomposition", Smart Mater Struct., 10(3), 441-445. https://doi.org/10.1088/0964-1726/10/3/303
  4. Cho, S., Jo, H., Jang, S., Park, J., Jung, H.J., Yun, C.B., Spencer, B.F. and Seo, J.W. (2010), "Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses", Smart Struct. Syst., 6(5-6), 461-480. https://doi.org/10.12989/sss.2010.6.5_6.461
  5. Chou, P.H. (2011), Eco. http://www.ece.uci.edu/ chou/research/#Eco.
  6. Ho, D.D., Lee, P.Y., Nguyen, K.D., Hong, D.S., Lee, S.Y., Kim, J.T., Shin, S.W., Yun, C.B. and Shinozuka, M. (2012), "Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge", Smart Struct. Syst., 9(2), 145-164. https://doi.org/10.12989/sss.2012.9.2.145
  7. Jin, Y. and Eydgahi, A. (2008), "Monitoring of distributed pipeline systems by wireless sensor networks", Proceedings of the IAJC-IJME International Conference.
  8. Kim, S. and Chou, P.H. (2011) "Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array", Proceedings fo the International Symposium on Low Power Electronics and Design (ISLPED), pages 235-240, Fukuoka, Japan, August.
  9. Kim, S., Yoon, E., Chein, T.C., Chou, P.H. and Shinozuka, M. (2011), "Smart wireless sensor system for lifeline health monitoring under a disaster event", In Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security IV, Proceedings of SPIE, volume 7983, San Diego, CA USA, March .
  10. Kim, Y., Schmid, T., Charbiwala, Z.M., Friedman, J. and Srivastava, M.B. (2008), "NAWMS: Nonintrusive autonomous water monitoring system", Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems (SenSys' 2008), Raleigh, NC, USA, November.
  11. Lynch, J. P. and Loh, K.J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib., 38(2), 91-128. https://doi.org/10.1177/0583102406061499
  12. Lynch, J. P., Sundararajan, A., Law, K.H., Kiremidjian, A.S., Carryer, E., Sohnd, H. and Farrard, C.R. (2003), "Field validation of a wireless structural monitoring system on the Alamosa Canyon Bridge", Proceedings of the SPIE's 10th Annual International Symposium on Smart Structures and Materials, San Deigo, CA, USA, March.
  13. Lynch, J.P., Wang, Y., Law, K.H., Yi, J.H., Lee, C.G. and Yun, C.B. (2005), "Validation of large-scale wireless structural monitoring system on the geumdang bridge", Proceedings of the 9th International Conference on Structural Safety and Reliability, Rome, Italy.
  14. Pakzad, S.N., Fenves, G.L., Kim, S. and Culler, D.E. (2008), "Design and implementation of scalable wireless sensor network for structural monitoring", J. Infrastruct. Syst., 14(1), 89-101. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(89)
  15. Park, G., Rosing, T., Todd, M.D., Farrar, C.R. and Hodgkiss, W. (2008), "Energy harvesting for structural health monitoring sensor networks", J. Infrastruct. Syst., 14(1), 65-79.
  16. Raghunathan, V., Schurgers, C., Park, S. and Srivastava, M. (2002), "Energy-aware wireless microsensor networks", IEEE Proc. Mag., 19(2), 40-50. https://doi.org/10.1109/79.985679
  17. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer, B.F. Jr., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6),423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  18. Roundy, S., Wright, P. and Rabaey, J. (2003), "A study of low level vibrations as a power source for wireless sensor nodes", Comput. Commun., 26(11), 1131-1144. https://doi.org/10.1016/S0140-3664(02)00248-7
  19. Shinozuka, M., Chou, P.H., Kim, S., Karmakar, D. and Lu Fei, H.R.K. (2010), "Non-invasive acceleration-based methodology for damage detection and assessment of water distribution systems", Smart Struct. Syst., 6(6).
  20. Stoianov, I., Maksimovic, C. and Graham, N. (2003), "Designing a continuous monitoring system for transmission pipelines", Proceedings of the CCWI 2003, Advances in Water Supply Management Conference, London, UK.
  21. Stoianov, I., Nachman, L., Madden, S. and Tokmouline, T. (2007), "PIPENET: A wireless sensor network for pipeline monitoring", Proceedings of the International Symposium on Information Processing in Sensor Networks (IPSN'07), Cambridge, MA, USA.
  22. Stoianov, I., Nachman, L., Whittle, A., Madden, S. and Kling, R. (2006), "Sensor networks for monitoring water supply and sewer systems: Lessons from boston", Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium, Raleigh, NC, USA.
  23. Ulusoy, H.S., Feng, M.Q. and Fanning, P.J. (2011), "System identification of a building from multiple seismic records", Earth Eng. Struct, 40(6),661-674. https://doi.org/10.1002/eqe.1053
  24. Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Struct Eng Mech., 17(3-4), 445-466. https://doi.org/10.12989/sem.2004.17.3_4.445
  25. Yoon, S., Ye, W., Heidemann, J., Littlefield, B. and Shahabi, C. (2011), "SWATS: Wireless sensor networks for steamflood and waterflood pipeline monitoring", IEEE J. Network, 25(1), 50-56.

Cited by

  1. Real-time remote monitoring: the DuraMote platform and experiments towards future, advanced, large-scale SCADA systems vol.11, pp.4, 2015, https://doi.org/10.1080/15732479.2014.951861
  2. Repetitive model refinement for structural health monitoring using efficient Akaike information criterion vol.15, pp.5, 2015, https://doi.org/10.12989/sss.2015.15.5.1329
  3. A Recursive Solution for Power-Transmission Loss in DC-Powered Networks vol.7, pp.12, 2014, https://doi.org/10.3390/en7117519
  4. Computational Intelligence for Urban Infrastructure Condition Assessment: Water Transmission and Distribution Systems vol.14, pp.12, 2014, https://doi.org/10.1109/JSEN.2014.2336240
  5. Calculus of the defect severity with EMATs by analysing the attenuation curves of the guided waves vol.19, pp.2, 2013, https://doi.org/10.12989/sss.2017.19.2.195
  6. Integrating redundancy, diversity, and hardening to improve security of industrial internet of things vol.6, pp.1, 2013, https://doi.org/10.1080/23335777.2019.1624620