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