Implementation of an IOT-Based Water Quality Monitoring System in Water Battery Electricity Generation Plants

Abstract

"Water batteries can feed into an existing electric grid and help in ensuring constant electricity by redistributing electricity when demand is high. However, the water-based water system's main significant problem with battery maintenance is knowing when to fill batteries with water and checking the quality of water coming into it. The quality and level of water in a water battery electricity generating system need to be monitored and managed to ensure that it lasts a long time. This study, therefore, looked at how IoT systems can be used in that regard to ensure constant electricity. The objective of this research is to develop and implement a prototype IoT-based water quality monitoring system for use in the water battery system. Arduino Uno was used as the microcontroller for this project. The sensors needed in this project consist of a pH sensor, Turbidity sensors and conductivity. A Wi-Fi module was used to send the results to the smartphone via Wi-Fi. The results were sent through Blynk software and the results were shown on a smartphone. The developed water monitoring quality system detected water quality parameters like Ph, water level and turbidity. The data obtained from the sensors were uploaded to the Blynk/ThingSpeak dashboard for online monitoring purposes. The system can also control the water quality of the samples by interfacing with pumps to maintain acceptable water levels and quality. The prototype system monitored water quality according to the scheduled plan and objective. The developed system was successfully implemented and determined the turbidity, pH, Total dissolved solids (TDS), flow rate and level of water. The paper recommends that the prototype should be adopted and developed along with the water battery electricity generation system."