A Real Time Water Quality Monitoring Using Machine Learning Algorithm
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 8, Pages 2035-2041
AbstractWater quality parameter is of much importance in our day to day lives. Prediction of water quality will help to reduce water pollution and guard our human health. An intelligent process of monitoring the quality of water automatically detects the condition of water through IoT by processing sensors data and instantly provides notification to water analyst, when the quality of water is abnormal. With the initiation of Machine to Machine Communication analyzing and communicating the data becomes simple and efficient. This work has advanced an “Intelligent IoT based water quality monitoring system” pertaining to lakes is being used in rural areas. The structure uses pH, Turbidity and Conductivity sensors for determining the water quality parameters about hydrogen ion and total dissolved solvents in the water. Likewise, K Means calculation has been utilized for anticipating the nature of water, with the assistance of prepared informational collection from various water tests. Swotting and comparing the water quality parameters with time-stamped prediction results in the cloud server has been communicated to the water analyst through the personal computers for better knowledge and understanding of water quality. This proposed model safeguards standard quality water to the rural people using low prices embedded devices like Arduino Uno and Raspberry Pi.
- Article View: 54
- PDF Download: 102