Smart water technology for leakage detection: feedback of large-scale experimentation
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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.
KeywordsWater Automated meter reading Leakage detection Balance Minimum night flow
- 2.GrowingBlue. (2011). Water economics life.Google Scholar
- 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
- 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.Sehgal, A. (2005). AMR offers multiple benefits. In Pipeline and gas technology. Itron Inc., Spokane, Washington.Google Scholar
- 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.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.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.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.
- 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.Thornton, J., Sturm, R., & Kunkel, G. (2008). Water loss control (2nd ed.). London: McGraw Hill.Google Scholar
- 15.Lambert, A. (2002). International report: Water losses management and techniques. Water Science and Technology: Water Supply, 2(4), 1–20.Google Scholar
- 16.Kvanli, A., Pavur, R., & Keeling, K. (2006). Concise managerial statistics. Mason, OH: South-Western Thomson Learning.Google Scholar
- 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