Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

  • Authors

    • S. Kavi Priya
    • G. Shenbagalakshmi
    • T. Revathi
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.8921
  • Water quality monitoring, water distribution system, wireless sensor network, fuzzy logic, network lifetime, ZigBee, in Pipe.

  • Drinking Water Distribution Systems facilitate to carry portable water from water resources such as reservoirs, river, and water tanks to industrial, commercial and residential consumers through complex buried pipe networks. Determining the consequences of a water contamination event is an important concern in the field of water systems security and in drinking water distribution systems. The proposed work is based on the development of low cost fuzzy based water quality monitoring system using wireless sensor networks which is capable of measuring physiochemical parameters of water quality such as pH, temperature, conductivity, oxidation reduction potential and turbidity. Based on selected parameters a sensing unit is developed along with several microsystems for analog signal conditioning, data aggregation, sensor data analysis and logging, and remote representation of data to the consumers. Finally, algorithms for fusing the real time data and decision making using fuzzy logic at local level are developed to assess the water contamination risk. Based on the water contamination level in the distribution pipeline the drinking water quality is classified as acceptable/reject/desirable. When the contamination is detected, the sensing unit with ZigBee sends signals to close the solenoid valve inside the pipeline to prevent the flow of contaminated water supply and it intimates the consumers about drinking water quality through mobile app. Experimental results indicate that this low cost real time water quality monitoring system acts as an ideal early warning system with best detection accuracy. The derived solution can also be applied to different IoT (Internet of Things) scenario such as smart cities, the city transport system etc.

  • References

    1. [1] Skadsen J, Janke R, Grayman W, Samuels W, Tenbroek M, Steglitz B & Bahl S, “Distribution System On-line Monitoring for Detecting Contamination and Water Quality Changesâ€, Journal AWWA, (2008).

      [2] Panguluri S, Meiners G, Hall J & Szabo JG, “Distribution System Water Quality Monitoring: Sensor Technology Evaluation Methodology and Resultsâ€, U.S. Environmental Protection Agency, EPA/600/R-09/076, (2009).

      [3] Lambrou TP, Anastasiou CC & Panayiotou CG, “A Nephelometric Turbidity System for Monitoring Residential Drinking Water Quality, in Sensor Networks Applicationsâ€, Experimentation and Logistics, (2009).

      [4] Zhuiykov S, “Solid-state sensors monitoring parameters of water quality for the next generation of wireless sensor networksâ€, Sensors and Actuators B: Chemical, Vol.161, No.1, (2012), pp.1-20.

      [5] Aisopou A, Stoianov I & Graham N, “In-pipe water quality monitoring in water supply systems under steady and unsteady state flow conditions: A quantitative assessmentâ€, Water Research, Vol.46, No.1, (2012), pp.235-246.

      [6] Lambrou TP, Panayiotou CG & Anastasiou CC, “A Low-Cost System for Real Time Monitoring and Assessment of Potable Water Quality at Consumer Sitesâ€, IEEE Sensors, (2012).

      [7] Hall J, Zafï¬ro AD, Marx RB, Kefauver PC, Krishnan ER, Haught RC & Herrmann JG, “On-line Water Quality Parameters as Indicators of Distribution System Contaminationâ€, Journal AWWA, (2007).

      [8] Yao Y, Cao Q & Vasilakos AV, “EDAL: An energy-efficient, delay aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networksâ€, IEEE/ACM Trans. Netw., Vol.23, No.3, (2015), pp.810-823.

      [9] Storey MV, vander Gaag B & Burns BP, “Advances in on-line drinking water quality monitoring and early warning systemsâ€, Water Resources, Vol.45, No.2, (2011), pp.741-747.

      [10] Storey MV, Gaag B & Burns BP, “Advances in on-line drinking water quality monitoring and early warning systemsâ€, Water Research, Vol.45, No.2, (2011), pp.741-747.

      [11] Hach HST, GuardianBlue Early Warning System Brochure, (2008).

      [12] JMAR, BioSentry Contamination Warning System Technical Overview, (2006).

      [13] Corke P, Wark T, Jurdak R, Wen H, Valencia P & Moore D, “Environmental Wireless Sensor Networksâ€, Proceedings of the IEEE , Vol.98, No.11, (2010), pp.1903-1917.

      [14] Postolache O, Girao PS, Pereira JMD & Ramos H, “Wireless water quality monitoring system based on field point technology and Kohonen mapsâ€, Proc. IEEE Can. Conf. Elect. Comput. Eng. (CCECE), Vol.3, (2003), pp.1873-1876.

      [15] Yifan K & Peng J, “Development of data video base station in water environment monitoring oriented wireless sensor networksâ€, Proc. Int. Conf. Embedded Softw. Syst. Symp., (2008), pp.281-286.

      [16] Jiang P, Xia H, He Z & Wang Z, “Design of a water environment monitoring system based on wireless sensor networksâ€, Sensors, Vol.9, No.8, (2009), pp.6411-6434.

      [17] Wang Z, Wang Q & Hao X, “The design of the remote water quality monitoring system based on WSNâ€, Proc. 5th Int. Conf. Wireless Commun., Netw. Mobile Comput., (2009).

      [18] Nasirudin M, Za'bah UN & Sidek O, “Fresh water real-time monitoring system based on wireless sensor network and GSMâ€, Proc. IEEE Conf. Open Syst., (2011), pp.354-357.

      [19] Adamo F, Attivissimo F, Carducci CGC & Lanzolla AML, “A smart sensor network for sea water quality monitoringâ€, IEEE Sensors J., Vol.15, No. 5, (2015), pp.2514-2522.

      [20] Lambrou TP, Anastasiou CC, Panayiotou CG & Polycarpou MM, “A low-cost sensor network for real-time monitoring and contamination detection in drinking water distribution systemsâ€, IEEE Sensors J., Vol.14, No.8, (2014), pp.2765-2772.

      [21] Selvi, N., Surendar, A. “Efficient power reduction and glitch free mux based digitally controlled delay lineâ€,(2015), International Journal of Applied Engineering Research, 10 (10), pp. 9655-9659.

      [22] Vishnu, S., Vignesh, S., Surendar, A.â€Design and implementation of ZETA micro-inverter for solar PV applicationâ€(2017), International Journal of Mechanical and Production Engineering Research and Development, 7 (4), pp. 215-222.

      [23] Lakshmi, K., Surendar, A. â€Verification of axiprotocol using system Verilogâ€, (2017), International Journal of Mechanical Engineering and Technology, 8 (5), pp. 588-595.

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    Kavi Priya, S., Shenbagalakshmi, G., & Revathi, T. (2017). Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains. International Journal of Engineering & Technology, 7(1.1), 47-51. https://doi.org/10.14419/ijet.v7i1.1.8921