Real Time Water Treatment Plant Monitoring System using IOT and Machine Learning Approach

Here paper points at designing programmed water treatment plant that measures quality of water utilizing various parameters like temperature, pH, turbidity and TDS. In order of achieving this several sensors that measure distinctive parameters like pH value, turbidity in water, level of the water within the tank, temperature and humidity of the surrounding atmosphere are interfaced with Arduino microcontroller unit. The received data from the Arduino will be sent to the cloud with the help of IOT Things speak app to monitor the quality of water. The machine learning algorithm is applied to the obtained sensor information to extend the precession.