Intelligent IoT Based Water Quality Monitoring System

摘要

With rapidly rising population in India, Fresh Water Management is very much essential which demands an increase in agricultural, industrial and other requirements. The Quality of Fresh Water is characterized by "chemical, physical and biological" content Traditional water quality monitoring involves three steps namely water sampling, Testing and investigation. These are done manually by the scientists. This technique is not fully reliable and gives no indication before hand on quality of water. Also with the advent of wireless sensor technologies, some amount of research carried out in monitoring the water quality using wireless sensors deployed in water and sending short message to farmer's about water. Also research been carried out in analyzing the quality of water using machine learning algorithms too. Now with the advent of Machine to Machine Communication which leads to devices communicating among themselves and accordingly analyzing the data intelligently, we here have developed an "Intelligent IoT based water quality monitoring system" pertaining to storage tanks being used by residential areas. The system here employs PH sensor and TDS meter for measuring the water quality parameters pertaining to hydrogen ion and total dissolved solvents. In addition, machine learning algorithm K-Means clustering been employed for predicting the quality of water based on trained data set from different water samples. This system been implemented as a small prototype using low cost embedded devices like Arduino Uno, Raspberry Pi3.