DOI QR코드

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A versatile software architecture for civil structure monitoring with wireless sensor networks

  • 투고 : 2012.01.05
  • 심사 : 2012.07.11
  • 발행 : 2012.09.25

초록

Structural health monitoring with wireless sensor networks has received much attention in recent years due to the ease of sensor installation and low deployment and maintenance costs. However, sensor network technology needs to solve numerous challenges in order to substitute conventional systems: large amounts of data, remote configuration of measurement parameters, on-site calibration of sensors and robust networking functionality for long-term deployments. We present a structural health monitoring network that addresses these challenges and is used in several deployments for monitoring of bridges and buildings. Our system supports a diverse set of sensors, a library of highly optimized processing algorithms and a lightweight solution to support a wide range of network runtime configurations. This allows flexible partitioning of the application between the sensor network and the backend software. We present an analysis of this partitioning and evaluate the performance of our system in three experimental network deployments on civil structures.

키워드

참고문헌

  1. Casas, J. (1994), "A combined method for measuring cable forces: the cable-stayed Alamillo bridge, Spain", Struct. Eng., 4(4) , 235-240. https://doi.org/10.2749/101686694780601700
  2. Casciati, F. and Chen, Z. (2011), "Design constraints for a wireless network architecture", Proceedings of the International Symposium on Innovation and Sustainability of Structures in Civil Engineering, October, Xiamen, China.
  3. Cohen, M., Ponte, T., Rossetto, S. and de La Rocque Rodriguez, N. (2007), "Using coroutines for RPC in sensor networks", Proceedings of the Paral. and Dist. Proc. Symp.
  4. Culler, D. and Wei, H. (2004), Wireless Sensor Networks, Communications of the ACM , 47(6), 30-33. https://doi.org/10.1145/1029496.1029522
  5. Decentlab (2004), Decentlab Gmbh: decentralized monitoring solutions, URL www.decentlab.com
  6. Feltrin, G., Meyer, J. and Bischoff, R. (2006), "A wireless sensor network for force monitoring of cable stays", Proceedings of the 3nd International Conference on Bridge Maintenance, Safety and Management, IABMAS.
  7. Feltrin, G., Meyer, J., Bischoff, R. and Motavalli, M. (2009), "Long term monitoring of cable stays with a wireless sensor network", Struct. Infrustruct. E., 6(5), 535-548..
  8. Hui, J. and Culler, D. (2004). "The dynamic behavior of a data dissemination protocol for network programming at scale", Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys.
  9. Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer Jr. B.F., and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  10. Jang, S., Spencer Jr., B.F., Rice, J.A. and Wang, Z. (2011), "Structural monitoring of a historic truss bridge using a wireless sensor network", Adv. Struct. Eng., 14(1), 93-101. https://doi.org/10.1260/1369-4332.14.1.93
  11. Kim, S., Pakzad, S., Culler, D., Demmel, D., Fenves, G., Glaser, S. and Turon, M. (2007), "Health monitoring of civil infrastructures using wireless sensor networks", Proceedings of the 6th Int. Conf. on Information Processing in Sensor Networks, IPSN..
  12. Kurata, M., Lynch, J.P., van der Linden, G., Hipley, P. and Sheng, L.H. (2011), "Long-term wireless monitoring system for the monitoring of long-span bridges", Proceedings of the International Symposium on Innovation and Sustainability of Structures in Civil Engineering, October, Xiamen, China.
  13. Lei, Y., Liu, L., Jiang, Y., Tang, Y. and Luo, Y. (2011), "A smart wireless sensor network for structural damage detection", Proceedings of the International Symposium on Innovation and Sustainability of Structures in Civil Engineering, October, Xiamen, China.
  14. Levis, P., Madden, S., Polastre, J., Szewczyk, R., Whitehouse, K., Woo, A., Gay, D., Hill, J., Welsh, M., Brewer, E. and Culler, D. (2005), Tinyos: an operating system for sensor networks, In Ambient Intelligence.
  15. Lynch, J., Wang, Y., Loh, K., Yi, J. and Yun, C. (2006), "Performance monitoring of the geumdang bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  16. Maroti, M., Kusy, B., Simon, G. and Ledeczi, A. (2004), "The flooding time synchronization protocol", Proceedings of the Int. Conf. on Embedded Netw. Sens. Sys.
  17. May, T.D., Dunning, S.H. and Hallstrom, J.O. (2005), "An rpc design for wireless sensor networks", Proceedings of the Int. Conf. on Mobile Adhoc and Sensor Systems.
  18. Nagayama, T. and Spencer Jr., B.F. (2007), Structural health monitoring using smart sensors, Structural Engineering Laboratory Report Series 001, Newmark. URL http://hdl.handle.net/2142/3521.
  19. Okola, M. and Whitehouse, K. (2010), "Unit testing for wireless sensor networks", Proceedings of the Workshop on Software Engineering for Sensor Network Applications.
  20. Talzi, I., Hasler, A., Gruber, S. and Tschudin, C. (2007), "Permasense: Investigating permafrost with a wsn in the swiss alps", Proceedings of the 4th Workshop on Embedded Networked Sensors.
  21. Whitehouse, K., Tolle, G., Taneja, J., Sharp, C., Kim, S., Jeong, J., Hui, J., Dutta, P. and Culler, D. (2006), "Marionette: Using rpc for interactive development and debugging of wireless embedded networks", Proceedings of the 5th Int. Conf. on Information Processing in Sensor Networks.
  22. Yuan, F., Song, W.Z., Peterson, N., Peng, Y., Wang, L., Shirazi, B. and LaHusen, R. (2008), "A lightweight sensor network management system design", Proceedings of the 6th Int. Conf. on Pervasive Computing and Communications.

피인용 문헌

  1. Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges 2017, https://doi.org/10.1177/1475921717721137
  2. A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges vol.2016, 2016, https://doi.org/10.1155/2016/4359415
  3. A low-noise, real-time, wireless data acquisition system for structural monitoring applications vol.21, pp.7, 2014, https://doi.org/10.1002/stc.1636
  4. Design criterion for fatigue strengthening of riveted beams in a 120-year-old railway metallic bridge using pre-stressed CFRP plates vol.68, 2015, https://doi.org/10.1016/j.compositesb.2014.08.026
  5. In-Situ Validation of a Wireless Data Acquisition System by Monitoring a Pedestrian Bridge vol.18, pp.1, 2015, https://doi.org/10.1260/1369-4332.18.1.97
  6. A Wireless Monitoring System for Cracks on the Surface of Reactor Containment Buildings vol.16, pp.12, 2016, https://doi.org/10.3390/s16060883
  7. Bridge load testing and rating: a case study through wireless sensing technology vol.12, pp.6, 2013, https://doi.org/10.12989/sss.2013.12.6.661
  8. Vibration monitoring of a footbridge with a wireless sensor network vol.19, pp.15, 2013, https://doi.org/10.1177/1077546313501929
  9. A power optimised and reprogrammable system for smart wireless vibration monitoring vol.27, pp.2, 2012, https://doi.org/10.1002/stc.2468