Abstract
Currently in India and most of the other countries, if there is any leakage of water pipes in remote areas then it’s difficult to trace and repair the leakage within a short span of time, it takes some amount of time usually two to three days to locate the leakage and to repair it. During this time a lot of water is wasted. In this paper we discuss the techniques to detect the leakage and locate the leak point on the pipeline. In the proposed approach we discuss efficient techniques for monitoring, detecting leakage in pipes and checking the durability of the pipes using flow rate and vibration sensors. The objective is to build a prototype model for detecting leakage in water pipeline using flow rate sensors and also to predict the durability of the pipe using vibration and pressure sensors. Data from remote sensors are collected through wireless medium and are monitored in a server. If there is any leakage in the pipelines then the server sends the sms message to the water board authorities and notifies the leak point in the pipeline system. Further the durability of pipe can be predicted using pressure sensor so that the authorities can be intimated in prior about chances of breakage in pipelines. Thus the proposed system can save huge amount of water by intimating the authorities in time. Thus the experimental result validates the effectives and reliability of the proposed system.
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Jawhar, I., Mohamed, N., Mohamed, M.M., Aziz, J.: A routing protocol and addressing scheme for oil, gas, and water pipeline monitoring using wireless sensor networks. In: 5th IFIP International Conference IEEE Wireless and Optical Communications Networks, WOCN 2008 (2008)
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. 15, 805–812 (2011)
Liu, Z., Kleiner, Y.: State-of-the-art review of technologies for pipe structural health monitoring. IEEE Sens. J. 12(6), 1987–1992 (2012)
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. 283, 927–941 (2005). Sensors 14(3), 5595–5610 (2014). https://doi.org/10.3390/s140305595
Geiger, G., Werner, T.: Leak detection and location - a survey. In: Proceedings of the PSIG Annual Meeting, Bern, Switzerland, pp. 1–11 (2003)
Sadeghioon, A.M., Metje, N., Chapman, D.N., Carl, J.: Smart pipes: smart wireless sensor networks for leak detection in water pipelines. Sens. Actuator Netw. 3, 64–78 (2014). https://doi.org/10.3390/Jsan3010064
Ria, S., Manjit, K., Hemant, K.: Design and development of automatic waterflow meter. Int. J. Comput. Sci. Eng. Appl. (IJCSEA) 3, 49–59 (2013)
JayaLakshmi, M., Gomathi, V.: An enhanced underground pipeline water leakage monitoring and detection system using wireless sensor network. In: 2015 International Conference on Soft-Computing and Networks Security (ICSNS), pp. 1–6 (2015)
Misiunas, D., Vitkovsky, J., Olsson, G., Simpson, A., Lambert, M.: Pipeline break detection using pressure transient monitoring. J. Water Resour. Plan. Manag. 131(4) (2005). https://doi.org/10.1061/(ASCE)0733-9496(2005)131:4(316)
Obeid, A.M., Karray, F., Jmal, M.W., Abid, M., Qasim, S.M., BenSaleh, M.S.: Towards realisation of wireless sensor network-based water pipeline monitoring systems: a comprehensive review of techniques and platforms. IET Sci. Meas. Technol. 10(5), 420–426 (2016)
Rani, M.U., Kamalesh, S., Preethi, S., Shri, C.K.C., Sungaya, C.: Web based service to monitor water flow level in various applications using sensors. Int. J. Biol. Ecol. Environ. Sci. (IJBEES) 2, 119–122 (2013)
Demma, A., et al.: The reflection of the fundamental torsional mode from cracks and notches in pipes. J. Acoust. Soc. Am. 114(2), 611–625 (2003)
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Dhulavvagol, P.M., Ankita, K.R., Sohan, G., Ganiger, R. (2018). An Enhanced Water Pipeline Monitoring System in Remote Areas Using Flow Rate and Vibration Sensors. In: Nagabhushan, T., Aradhya, V.N.M., Jagadeesh, P., Shukla, S., M.L., C. (eds) Cognitive Computing and Information Processing. CCIP 2017. Communications in Computer and Information Science, vol 801. Springer, Singapore. https://doi.org/10.1007/978-981-10-9059-2_30
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DOI: https://doi.org/10.1007/978-981-10-9059-2_30
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