Advertisement

Smart water technology for leakage detection: feedback of large-scale experimentation

  • Elias Farah
  • Isam Shahrour
Article
  • 61 Downloads

Abstract

Recent advances in intelligent water meter technology have improved the quantitative monitoring in water supply and distribution systems. Smart meters using automated meter reading (AMR) technology allow water utilities to: (a) provide clear consumption patterns which can help customers to track and control their water usage and (b) improve active leakage targeting and leak detection capability. This paper presents a feedback about the use of AMR system to detect leakage in a large-scale experimentation, which is conducted at the Scientific Campus of the University of Lille, which stands for a small town of 25,000 users. This paper presents the demonstration site as well as its monitoring using AMR technology and how this technology allowed a rapid detection of water leakage.

Keywords

Water Automated meter reading Leakage detection Balance Minimum night flow 

References

  1. 1.
    van de Meene, S. J., Brown, R. R., & Farrelly, M. A. (2011). Towards understanding governance for sustainable urban water management. Global Environmental Change, 21(3), 1117–1127.  https://doi.org/10.1016/j.gloenvcha.2011.04.003.CrossRefGoogle Scholar
  2. 2.
    GrowingBlue. (2011). Water economics life.Google Scholar
  3. 3.
    Sharma, S. K., & Vairavamoorthy, K. (2009). Urban water demand management: Prospects and challenges for the developing countries. Water and Environment Journal, 23(3), 210–218.  https://doi.org/10.1111/j.1747-6593.2008.00134.x.CrossRefGoogle Scholar
  4. 4.
    Fanner, P. V., Sturm, R., Thornton, J., Liemberger, R., Davis, S. E., & Hoogerwerf, T. (2007). Leakage management technologies. Denver CO: American Water Works Association (AWWA) Research Foundation.Google Scholar
  5. 5.
    Depuru, S. S. S. R., Wang, L., & Devabhaktuni, V. (2011). Smart meters for power grid: Challenges, issues, advantages and status. Renewable and Sustainable Energy Reviews, 15(6), 2736–2742.  https://doi.org/10.1016/j.rser.2011.02.039.CrossRefGoogle Scholar
  6. 6.
    Soh, S. C., & Kerk, S. G. (2005). The electricity and metering trends in Singapore. In 2005 international power engineering conference, November 29 2005–December 2 (pp. 1–152).  https://doi.org/10.1109/ipec.2005.206896.
  7. 7.
    Sehgal, A. (2005). AMR offers multiple benefits. In Pipeline and gas technology. Itron Inc., Spokane, Washington.Google Scholar
  8. 8.
    Christodoulou, S., Agathokleous, A., Kranioti, S., Xanthos, S., & Gagatsis, A. (2012). Wireless sensors for leak detection and automatic meter reading (AMR). In NIREAS-IWRC/D5.15.1. Nicosia, Cyprus.Google Scholar
  9. 9.
    Britton, T. C., Stewart, R. A., & Wiskar, D. (2009). Smart metering as a tool for revealing the characteristics of household leakage during a typical readings cycle. In Ozwater conference, Melbourne, VIC, Australia, 15–18 March 2009.Google Scholar
  10. 10.
    Willis, R., Stewart, R. A., Giurco, D., Panuwatwanich, K., & Capati, B. (2009). Gold Coast domestic water end use study. Water: Journal of the Australian Water Association, 36(6), 84.Google Scholar
  11. 11.
    Li, L., Xiaoguang, H., & Weicun, Z. (2009). Design of an ARM-based power meter having WIFI wireless communication module. In Proceedings of the 4th IEEE conference on industrial electronics and applications, Xi’an, China, 25–27 May 2009 (pp. 403–407).  https://doi.org/10.1109/iciea.2009.5138237.
  12. 12.
    Han, D. M., & Lim, J. H. (2010). Smart home energy management system using IEEE 802.15.4 and zigbee. IEEE Transactions on Consumer Electronics, 56(3), 1403–1410.  https://doi.org/10.1109/TCE.2010.5606276.CrossRefGoogle Scholar
  13. 13.
    Yaacoub, E. (2014). On real-time smart meter reading using OFDMA-based random access. In Proceedings of the 17th IEEE Mediterranean electrotechnical conference MELECON, 13–16 April 2014 (pp. 156–162).  https://doi.org/10.1109/melcon.2014.6820524.
  14. 14.
    Thornton, J., Sturm, R., & Kunkel, G. (2008). Water loss control (2nd ed.). London: McGraw Hill.Google Scholar
  15. 15.
    Lambert, A. (2002). International report: Water losses management and techniques. Water Science and Technology: Water Supply, 2(4), 1–20.Google Scholar
  16. 16.
    Kvanli, A., Pavur, R., & Keeling, K. (2006). Concise managerial statistics. Mason, OH: South-Western Thomson Learning.Google Scholar
  17. 17.
    Shahrour, I., Abbas, O., Abdallah, A., Abou Rjeily, Y., Afaneh, A., Aljer, A., et al. (2017). Lessons from a large scale demonstrator of the smart and sustainable city. In A. Brdulak & H. Brdulak (Eds.), Happy city—How to plan and create the best livable area for the people (pp. 193–206). Cham: Springer.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratoire de Génie Civil et géo-Environnement (LGCgE)Université de LilleVilleneuve d’AscqFrance
  2. 2.School of Civil EngineeringTongji UniversityShanghaiChina

Personalised recommendations