Water Quality Data Analysis and Monitoring System in IoT Environment

Abstract

Water quality monitoring is an important aspect to provide safe drinking water to the environment and keep the naturally gifted resource safe from getting contaminated. Old method used for water quality monitoring is to send gathered samples to the lab and then test them to verify the different water parameters. The process may cause the potential errors as well as it is time-consuming and not the cost-effective solution. Solution need to real-time for the process of data acquisition, transmission, and processing of different parameters. This paper represents the system which is cost effective, less time as well as less power consuming solution for water quality monitoring with the help of innovative technology such as: Internet of Things, Wireless sensor network, Modern communication technology and data analysis techniques which will provide you the alert and preventive action to take in case of an emergency. Real-time water quality monitoring system implemented with various sensors (Parameters: Carbon Dioxide, pH, Turbidity, Temperature, Water Level) which will help to gather water parameter, ARM-based microcontroller (STM32 Nucleo-board) which will convert the analogue signal to digital signal, Zig-Bee module which is used to send the data to personal computer, then data analysis operation takes place which will notify the user wirelessly. The system keeps check on pollution of water as well as keep track through analysis on data optimized with the help of optimization data fusion algorithm, and if required, then alert the user to take the preventive action time to time.