Study Of Ml Algorithm In Smart Drinking Water Managementsystem For Predicting Water Leakage In Pipe
Rojina Shakya
Department of Computer Science & Engineering Kathmandu University, Dhulikhel, Kavre
Gajendra Sharma
Department of Computer Science & Engineering Kathmandu University, Dhulikhel, Kavre
Keywords: Smart Water Management, Internet of things, Machine Learning
Abstract
Water is the elixir of life which is a transparent, tasteless, odorless, nearly colorless chemical and inseparable element of every living creatures. Being the second richest country in the water resources, it is actually the matter of melancholy that Nepalese are facing the problem of scarcity of water in the highest degree. Thus, the water should be managed in a felicitous way by adopting the smart technology where the implementation of IoT must be followed by ML so that the prior detection of possible damages in the water pipes can be determined. In this paper, we propose a smart water management model where the integration of internet of things is done with the ML Algorithms for identifying the possibility of break down in water pipes by analyzing all the data sets obtained from the information of pipe.