Water quality monitoring system with IOT

Abstract

This project proposed an improved method to provide an early detection system at Semangar water treatment plant as many pollution cases occurred within the past years had left many housing area without water supply for days. The solution is based on the idea of developing an alert system, and also a real time database that can store data ammonia, turbidity and pH. The approach has several notable merits, namely cost efficient, not changing the existing system as it only act as an additional feature and higher safety. The idea is proven based on two subsystems. First the early detection system is based on notification through a mobile application. It provides user with notification every time the ammonia reading is above 2 parts per million threshold. Second, The real time database saves the ammonia parameter reading data every 10 seconds in Google Spreadsheet. The current reading of the chemicals can also be viewed using a web server which can then be connected through a mobile application. Database application is not only by Google Spreadsheet but also using Firebase application which can also be viewed through the mobile application. The method proposed in this project can be used for any water treatment plant in Malaysia that’s requires data to be stored and view at any given time.