Smart Structures and Systems

  • 제6권5_6호
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  • Pages.619-639
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  • 2010
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Wireless sensor networks for underground railway applications: case studies in Prague and London

  • Bennett, Peter J. (Department of Engineering, University of Cambridge) ;
  • Soga, Kenichi (Department of Engineering, University of Cambridge) ;
  • Wassell, Ian (Computer Laboratory, University of Cambridge) ;
  • Fidler, Paul (Department of Engineering, University of Cambridge) ;
  • Abe, Keita (Japan Railway Technical Research Institute) ;
  • Kobayashi, Yusuke (Japan Railway Technical Research Institute) ;
  • Vanicek, Martin (Czech Technical University in Prague)
  • 투고 : 2009.10.14
  • 심사 : 2010.04.01
  • 발행 : 2010.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

There is increasing interest in using structural monitoring as a cost effective way of managing risks once an area of concern has been identified. However, it is challenging to deploy an effective, reliable, large-scale, long-term and real-time monitoring system in an underground railway environment (subway / metro). The use of wireless sensor technology allows for rapid deployment of a monitoring scheme and thus has significant potential benefits as the time available for access is often severely limited. This paper identifies the critical factors that should be considered in the design of a wireless sensor network, including the availability of electrical power and communications networks. Various issues facing underground deployment of wireless sensor networks will also be discussed, in particular for two field case studies involving networks deployed for structural monitoring in the Prague Metro and the London Underground. The paper describes the network design, the radio propagation, the network topology as well as the practical issues involved in deploying a wireless sensor network in these two tunnels.

키워드

과제정보

연구 과제번호 : Micro-Measurement and Monitoring System for Ageing Underground Infrastructures (Underground M3)

연구 과제 주관 기관 : University of Cambridge

참고문헌

  1. Akyildiz, I.F. and Stuntebeck, E.P. (2006), "Wireless underground sensor networks: Research challenges", Ad Hoc Networks, 4(6), 669-686. https://doi.org/10.1016/j.adhoc.2006.04.003
  2. Barrenetxea, G., Ingelrest, F., Schaefer, G. and Vetterli, M. (2008), "The hitchhiker's guide to successful wireless sensor network deployments", Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems, Raleigh, NC, USA, November.
  3. Bennett, P.J., Kobayashi, Y., Soga, K. and Wright. P. (2009), "Wireless sensor network for monitoring of underground tunnel", Proceedings of the ICE - Geotechnical Engineering.
  4. Cheekiralla, S.M. (2004), Development of a Wireless Sensing Unit for Tunnel Monitoring, Master's thesis, Massachusetts Institute of Technology, Cambridge, MA, USA.
  5. Cheung, L.L.K., Soga, K., Bennett, P.J., Kobayashi, Y., Amatya, B. and Wright, P. (2009), "Optical fibre strain measurement for tunnel lining monitoring", Proceedings of the ICE - Geotechnical Engineering.
  6. Fares, S.A., Denidni, T. and Affes, S. (2005), "Effects of rayleigh fading and poisson time path arrival on OFDM smart antennas for WLAN underground communications", Proceedings of the First International Workshop on Wireless Communications in Underground and Confined Areas IWWCUCA'2005, Val-d'Or, Quebec, Canada.
  7. Feltrin, G., Meyer, J. and Bischoff, R. (2007), "Wireless sensor networks for long term monitoring of civil structures", Proceedings of the 2nd International Conference on Experimental Vibration Analysis for Civil Engineering Structures, Porto, Portugal, October.
  8. Glaser, S.D., Li, H., Wang, M.L., Ou, J. and Lynch, J.P. (2007), "Sensor technology innovation for the advancement of structural health monitoring: A strategic program plan of US-China research for the next decade", Smart Struct. Syst., 3(2), 221-244. https://doi.org/10.12989/sss.2007.3.2.221
  9. Glaser, S.D. and Parkkila, T. (2009), "Sensor networks in the real world", ERCIM News, 76, 16-17.
  10. Grosse, C. (2008), "Monitoring of structures using wireless sensors and acoustic emission techniques", Proceedings of the International Conference on Challenges for Civil Construction, Porto, Portugal.
  11. Hirai, C. and Soga, K. (2010), "An experimental model of relay deployment planning tool for a wireless sensor network system to monitor civil engineering structures", Proceedings of the Ninth IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN 2010), Innsbruck, Austria, February.
  12. Hoult, N.A., Bennett, P.J., Stoianov, I., Fidler, P., Maksimovi, C., Middleton, C., Graham, N. and Soga, K. (2009a), "Wireless sensor networks: creating 'Smart Infrastructure'", Proceedings of the Institution of Civil Engineers, Civil Engineering, 162(3), 136-143. https://doi.org/10.1680/cien.2009.162.3.136
  13. Hoult, N.A., Fidler, P., Hill, P. and Middleton, C.R. (2009b), "long-term wireless structural health monitoring of the ferriby road bridge", J. Bridge Eng., 15(2), 153-159. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000049
  14. Jobling, D.G. (1980), Development of Lining Systems for London Transport Tunnels, Internal reference from Tube Lines Limited.
  15. Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S. and Turon, M. (2007), "Health monitoring of civil infrastructures using wireless sensor networks", Proceedings of the 6th IPSN, Cambridge, Massachusetts, USA, April.
  16. Li, M. and Liu, Y. (2007), "Underground structure monitoring with wireless sensor networks", Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks (IPSN'07), Cambridge, Massachusetts, USA, April.
  17. Lynch, J.P., Wang, Y., Loh, K.J., Yi, J.H. and Yun, C.B. (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
  18. Lyons, A.C. (1979), "The Jubilee Line 2. Construction from baker street to bond street exclusive and from admiralty arch to aldwych", Proceedings of the Institution of Civil Engineers, Part 1, 66(3), 375-394. https://doi.org/10.1680/iicep.1979.2825
  19. Stajano, F., Hoult, N.A., Wassell, I., Bennett, P.J., Middleton, C. and Soga, K. (2010), "Smart bridges, smart tunnels: transforming wireless sensor networks from research prototypes into robust engineering infrastructure", Ad Hoc Networks, 10.1016/j.adhoc.2010.04.002.
  20. Vanicek, I. (2008), Ageing of Underground Structures - Prague Metro, CVUT v Praze, Fakulta stavebni, 168pp.
  21. Whelan, M.J. and Janoyan, K.D. (2009), "Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring", J. Intel. Mat. Syst. Str., 20(7), 849-863. https://doi.org/10.1177/1045389X08098768
  22. Wu, Y., Lin M. and Wassell, I.J. (2009), "Modified 2D finite-difference time-domain based tunnel path loss prediction for wireless sensor network applications", J. Commun., 4(4), 214-223.
  23. Wu, Y. and Wassell, I.J. (2009), "Introduction to the segmented finite-difference time-domain method", IEEE T. Magn., 45(3), 1364-1367. https://doi.org/10.1109/TMAG.2009.2012628
  24. Wu, Y. and Wassell, I.J. (2008), "Investigation of close-to-wall wireless sensor deployment using 2D finitedifference time-domain modelling", Proceedings of the 2nd International Conference on Wireless Communication in Underground and Confined Areas, Val-d'or, Quebec, Canada, August.
  25. Yu, Y., Ou, J., Zhang, J., Zhang, C. and Li, L. (2009), "Development of wireless MEMS inclination sensor system for swing monitoring of large-scale hook structures", IEEE T. Ind. Electron., 56(4), 1072-1078. https://doi.org/10.1109/TIE.2009.2012469

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  3. Performance analysis of ZigBee network topologies for underground space monitoring and communication systems vol.71, 2018, https://doi.org/10.1016/j.tust.2017.08.018
  4. Factors affecting wireless network communication in monitoring systems for steel bridges vol.2, pp.2, 2012, https://doi.org/10.1007/s13349-012-0019-y
  5. Categories of SHM Deployments: Technologies and Capabilities vol.20, pp.11, 2015, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000735
  6. From MANET to people-centric networking: Milestones and open research challenges vol.71, 2015, https://doi.org/10.1016/j.comcom.2015.09.007
  7. A Wireless Monitoring System for Cracks on the Surface of Reactor Containment Buildings vol.16, pp.12, 2016, https://doi.org/10.3390/s16060883
  8. Infrastructure sensing vol.6, pp.4, 2016, https://doi.org/10.1098/rsfs.2016.0023
  9. Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey vol.16, pp.3, 2015, https://doi.org/10.1109/TITS.2014.2366512
  10. Smart infrastructure: an emerging frontier for multidisciplinary research vol.170, pp.1, 2017, https://doi.org/10.1680/jsmic.16.00002
  11. Applications of wireless sensor networks for urban areas: A survey vol.60, 2016, https://doi.org/10.1016/j.jnca.2015.09.008
  12. State-of-the-art in structural health monitoring of large and complex civil infrastructures vol.6, pp.1, 2016, https://doi.org/10.1007/s13349-015-0108-9
  13. Damage detection of metro tunnel structure through transmissibility function and cross correlation analysis using local excitation and measurement vol.60-61, 2015, https://doi.org/10.1016/j.ymssp.2015.02.007
  14. Impact of Pyrotechnics over the Architectonic Heritage vol.2017, 2017, https://doi.org/10.1155/2017/7214975
  15. A socio-economic analysis of Smart Infrastructure sensor technology vol.31, 2013, https://doi.org/10.1016/j.trc.2013.02.015
  16. 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
  17. Performance monitoring of timber structures in underground construction using wireless SmartPlank vol.15, pp.3, 2015, https://doi.org/10.12989/sss.2015.15.3.769
  18. Middleware and communication technologies for structural health monitoring of critical infrastructures: A survey vol.56, 2018, https://doi.org/10.1016/j.csi.2017.09.007
  19. Evaluation of feature- and pixel-based methods for deflection measurements in temporary structure monitoring vol.5, pp.5, 2015, https://doi.org/10.1007/s13349-015-0117-8
  20. An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method vol.18, pp.10, 2018, https://doi.org/10.3390/s18103466
  21. Prototyping and Validation of MEMS Accelerometers for Structural Health Monitoring—The Case Study of the Pietratagliata Cable-Stayed Bridge vol.7, pp.3, 2018, https://doi.org/10.3390/jsan7030030
  22. Real-time unsaturated slope reliability assessment considering variations in monitored matric suction vol.7, pp.4, 2010, https://doi.org/10.12989/sss.2011.7.4.263
  23. Minimization of the Total Cost of Wireless Sensor Networks for Railway Structural Monitoring vol.133, pp.8, 2010, https://doi.org/10.1541/ieejeiss.133.1586
  24. MONITORING METHOD OF SOUNDNESS OF RAILWAY BRIDGE BY USING SOUNDNESS DIAGNOSIS INDICES CORRELATED WITH NATURAL FREQUENCY vol.72, pp.1, 2010, https://doi.org/10.2208/jscejseee.72.21
  25. Transportation and Environmental Geotechnics vol.189, pp.None, 2010, https://doi.org/10.1016/j.proeng.2017.05.020
  26. Autonomous evaluation of ambient vibration of underground spaces induced by adjacent subway trains using high-sensitivity wireless smart sensors vol.19, pp.1, 2017, https://doi.org/10.12989/sss.2017.19.1.001
  27. Damage detection of subway tunnel lining through statistical pattern recognition vol.5, pp.2, 2010, https://doi.org/10.12989/smm.2018.5.2.231
  28. Hybrid Blockchain and Internet-of-Things Network for Underground Structure Health Monitoring vol.18, pp.12, 2010, https://doi.org/10.3390/s18124268
  29. HS2 railway embankment monitoring: effect of soil condition on underground signals vol.1, pp.6, 2019, https://doi.org/10.1007/s42452-019-0552-y
  30. Multi-sensor data fusion based assessment on shield tunnel safety vol.24, pp.6, 2010, https://doi.org/10.12989/sss.2019.24.6.693
  31. Condition Monitoring System and Faults Detection for Impedance Bonds from Railway Infrastructure vol.10, pp.18, 2010, https://doi.org/10.3390/app10186167
  32. Healthcare monitoring of mountaineers by low power Wireless Sensor Networks vol.27, pp.None, 2010, https://doi.org/10.1016/j.imu.2021.100775
  33. Investigation on the Influence Caused by Shield Tunneling: WSN Monitoring and Numerical Simulation vol.2021, pp.None, 2021, https://doi.org/10.1155/2021/6620706
  34. A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network vol.2021, pp.None, 2010, https://doi.org/10.1155/2021/5595065
  35. A horizontal convergence monitoring method based on wireless tilt sensors for shield tunnels with straight joints vol.17, pp.9, 2010, https://doi.org/10.1080/15732479.2020.1801767
  36. Innovative Integrated Solution for Monitoring and Protection of Power Supply System from Railway Infrastructure vol.21, pp.23, 2010, https://doi.org/10.3390/s21237858
  37. New Damage Identification Method for Operational Metro Tunnel Based on Perturbation Theory and Fuzzy Logic vol.26, pp.1, 2010, https://doi.org/10.1007/s12205-021-2299-4