Smart City Underground Water Leak and Theft Detection System with IOT

Authors(2) :-J. Vinoj, Dr. S. Gavaskar

This paper depicts regarding those plan and usage of an advanced smart city water leakage following furthermore identification framework will screen furthermore recognize spill for those help for remote networked sensors. The goal for this improved framework will be identify workable underground water spillage to private water pipes that would monitor starting with a workstation. Therefore, a hearty also dependable remote sensor organize which create arduino uno micro controller board, information from remote sensor (water flow) will be gathered those information what's more monitored looking into a workstation with identify those correct spillage position. When a spill is detected, those water utility must take restorative activity will minimize water misfortunes in the water appropriation framework. Subsequently the recommended framework will be used to spare water furthermore lessens those trading cosset.

Authors and Affiliations

J. Vinoj
Ph.D Scholar Department of Computer Applications, Bharathiar University, Coimbatore, Tamilnadu, India
Dr. S. Gavaskar
Assistant Professor Department of Computer Applications, Bharathiar University, Coimbatore, Tamilnadu, India

Wireless Sensor Network, Water leakage,theft Arduino, water flow sensor, MQTT.

  1. Yu, X.; Wu, P.; Han, W.; Zhang, Z. Overview of wireless underground sensor networks for agriculture. Afr. J. Biotechnol. 2012, 11, 3942–3948. 
  2. Hieu, B.; Choi, S.; Kim, Y.U.; Park, Y.; Jeong, T. Wireless transmission of acoustic emission signals for real-time monitoring of leakage in underground pipes. KSCE J. Civ. Eng. 2011, 15, 805–812.
  3. Akyildiz, I.F.; Sun, Z.; Vuran, M.C. Signal propagation techniques for wireless underground communication networks. Phys. Commun. 2009, 2, 167–183.
  4. Liu, Z.; Kleiner, Y. State-of-the-art review of technologies for pipe structural health monitoring. IEEE Sens. J. 2012, 12, 1987–1992.
  5. Kingajay, M.; Jitson, T. Real-time laser monitoring based on pipe detective operation. Proc. World Acad. Sci. Eng. Technol. 2008, 44, 127–132.
  6. Sinha, S.K.; Knight, M.A. Intelligent system for condition monitoring of underground pipelines. Comput. Civ. Infrastruct. Eng. 2004, 19, 42–53.
  7. Gao, Y.; Brennan, M.; Joseph, P.; Muggleton, J.; Hunaidi, O. On the selection of acoustic/vibration sensors for leak detection in plastic water pipes. J. Sound Vib. 2005, 283, 927–941.
  8. Khulief, Y.A.; Khalifa, A.; Ben Mansour, R.; Habib, M.A. Acoustic detection of leaks in water pipelines using measurements inside pipe. J. Pipeline Syst. Eng. Pract. 2012, 3, 47–54. J. Sens. Actuator Netw. 2014, 3 78
  9. Stoianov, I.; Nachman, L.; Madden, S.; Tokmouline, T.; Csail, M. PIPENET: A Wireless Sensor Network for Pipeline Monitoring. In Proceedings of IEEE the 6th International Symposium on Information Processing in Sensor Networks (IPSN 2007), Cambridge, MA, USA, 25–27 April 2007; pp. 264–273. 
  10. 2015 International Conference on Soft-Computing and Network Security (ICSNS -2015), Feb. 25-27, 2015,
  11. Yang, J.; Wen, Y.; Li, P. Information Processing for Leak Detection on Underground Water Supply Pipelines. In Proceedings of the 3rd International Workshop on Advanced Computational Intelligence, Suzhou, China, 25–27 August 2010; pp. 623–629.
  12. Kadri, A.; Yaacoub, E.; Mushtaha, M. Empirical Evaluation of Acoustical Signals for Leakage Detection in Underground Plastic Pipes. In Proceedings of the 17th IEEE Mediterranean Electrotechnical Conference, Beirut, Lebanon, 13–16 April 2014; pp. 54–58.
  13. Ahadi,M.;Bakhtiar,M.S.LeakDetectioninWaterFilledPlasticPipesThroughtheApplicationofTunedWavelet TransformstoAcousticEmissionSignals.Appl. Acoust.2010,71,634–639,doi:10.1016/j.apacoust.2010.02.006.
  14. Rashid, S.; Qaisar, S.; Saeed, H.; Felemban, E. A Method for Distributed Pipeline Burst and Leakage Detection in Wireless Sensor Networks Using Transform Analysis. Int. J. Distrib. Sens. Netw. 2014, 10, 1–14, doi:10.1155/2014/939657.
  15. Bentoumi, M.; Chikouche, D.; Mezache, A.; Bakhti, H. Wavelet DT Method for Water Leak-Detection Using aVibrationSensor: AnExperimentalAnalysis. IETSignalProcess.2017,11,396–405,doi:10.1049/iet-spr.2016.0113.
  16. Lay-Ekuakille, A.; Vendramin, G.; Trotta, A. Robust Spectral Leak Detection of Complex Pipelines Using Filter Diagonalization Method. IEEE Sens. J. 2009, 9, 1605–1614, doi:10.1109/JSEN.2009.2027410.
  17. Almazyad, A.S.; Seddiq, Y.M.; Alotaibi, A.M.; Al-Nasheri, A.Y.; BenSaleh, M.S.; Obeid, A.M.; Qasim, S.M. AProposedScalableDesignandSimulationofWirelessSensorNetwork-BasedLong-DistanceWaterPipeline Leakage Monitoring System. Sensors 2014, 14, 3557–3577, doi:10.3390/s140203557.
  18. Shi,Y.;Zhang,C.;Li,R.;Cai,M.;Jia,G.TheoryandApplicationofMagneticFluxLeakagePipelineDetection. Sensors 2015, 15, 31036–31055, doi:10.3390/s151229845.
  19. Muggleton, J.M.; Brennan, M.J.; Pinnington, R.J. Wavenumber Prediction of Waves in Buried Pipes for Water Leak Detection. J. Sound Vib. 2002, 249, 939–954, doi:10.1006/jsvi.2001.3881.
  20. Jackets, T. The Newton-Laplace Equation and Speed of Sound. 2014. Available online: https://www. thermaxxjackets.com/newton-laplace-equation-sound-velocity/ (accessed on 20 July 2017).
  21. Yoon, D.J.; Lee, Y.; Kim, Y.; Kim, C.; Jung, J.C.; Kim, S.M.; Lee, J.; Jeon, H.; Moon, C.; Kim, E.C. Development ofLeak DetectionSystemforWaterworksUsingElastic Wave; Technical Report of Korea Research Institute of Standards and Science (KRISS); Korea Research Institute of Standards and Science: Daejeon, Korea, 2004; pp. 1–263.
  22. Carter, G.C. Time Delay Estimation. Ph.D. Thesis, The University of Connecticut, Storrs, CT, USA, 1976.

Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 632-640
Manuscript Number : CSEIT1836156
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. Vinoj, Dr. S. Gavaskar, "Smart City Underground Water Leak and Theft Detection System with IOT", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.632-640, July-August-2018.
Journal URL : http://ijsrcseit.com/CSEIT1836156

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