Water Leakage Detection System Using Arduino
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Clean water is a scarce resource for the human life and is subject to wastage due to leakage of the distribution pipes in large cities. Water pipe leakage is a big problem around the world of which most of the water distribution authorities faces difficulties to detect the location of the fault. This problem of leakage can be caused by several factors such as breakage of the pipelines due to aging or ongoing constructions in urban cities like Dar es salaam, consequently due to that case, the distribution authorities face hardship to identify the cause and enable them to take action. Therefore, the aim of this project was to develop an IoT-based system for water leakage detection. The prototype was developed comprising two sensors embedded at the source and destination points to measure the flow rate of water. The result indicated that the volume of water generated at the start point can be compared with the other end to determine if there is any leakage. A greater focus on distance calculation could produce interesting findings that account for more research on IoT monitoring systems.
References
-
Dixit PR, Chaudhari H, Jadhav S, Jagtap K. Water Level and Leakage Detection System with its Quality Analysis based on Sensor for Home Application. Int J Innov Res Sci Eng Technol. 2017; 0072(5): 1721–4.
Google Scholar
1
-
Schindhya, R, Simi, V.P, Sathya, E, Janani, B. Real-Time Water Monitoring System using IoT. Int J Advanced Research in Computer and Communication Eng. 2017; 6(3): 378-380.
Google Scholar
2
-
Marobhe NJ. A critical review of water supply services in urban and rural areas of Tanzania. Water policy. 2008 Feb;10(1):57-71.
Google Scholar
3
-
National Bureau of Statistics. The 2012 Population and Housing Census: Ministry of Finance, Tanzania, 2013.
Google Scholar
4
-
Nganyanyuka K, Martinez J, Wesselink A, Lungo JH, Georgiadou Y. Accessing water services in Dar es Salaam: Are we counting what counts?. Habitat International. 2014; 44: 358-66.
Google Scholar
5
-
Saraswathi V. Water Leakage System Using IoT. Int J Innov Res Eng Manag. 2018; 5(2): 67–9.
Google Scholar
6
-
Suriya JV. Smart Pipeline Water Leakage Detection System. Int J Appl Eng Res. 2017; 12(16): 5559–64.
Google Scholar
7
-
Vijayakumar T, Ramachandran T, Vigneshkumar M, Mohananthini N, Saravanan S. Home Water Leakage Detection and Monitoring System Using IOT. J Netw Commun Emerg Technol. 2019; 9(4): 5–10.
Google Scholar
8
-
Kane SN, Mishra A, Dutta AK. Preface: International Conference on Recent Trends in Physics (ICRTP 2016). J Phys Conf Ser. 2016; 755(1).
Google Scholar
9
-
Gehman M. Software Development Methodologies. Proj Manag Large Software-Intensive Syst. 2019: 49–66.
Google Scholar
10
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