Water Leakage Alert And Quality Testing in Water Distribution Networks Using Internet of Things and Machine Learning

  Persis. T,  Dr. J.Jospin Jeya

it is a challenging task to conserve water in this present busy world and so we use some technologies to consume less amount of water and to conserve more water. In our day today life we are not even aware of the quality of the water which we consume and also about the waters that are being wasted from leakage in taps and open taps that are left without knowing are all taken into account and these problems can be sorted by using two domains, they are internet of things and machine learning. The digital water metering system is managed by the water flow sensor. The PH sensor and the turbidity sensors are used to detect the quality of the water, the water flow can also be managed by the water flow sensor, the bills will also be generated according to their usage and if bill is not paid the water can be turned off. By using the concept of prediction analysis in machine learning the data can be analyzed and the particular day of a week or a month can be detected and notified to the user which enables the user to conserve water.

Keywords- Water, digital water metering, leakage detection, quality, sensors (water flow sensor, PH sensor, turbidity sensor), bill generation, water flow control, data analysis.

Unique Identification Number - IJEDR2001004
Page Number(s) - 23-27
Pubished in - Volume 8 | Issue 1 | January 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Persis. T,  Dr. J.Jospin Jeya,   "Water Leakage Alert And Quality Testing in Water Distribution Networks Using Internet of Things and Machine Learning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.23-27, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001004.pdf