IoT-Based Water Quality Monitoring System

Abstract: Water quality monitoring is essential for ensuring safe drinking water and maintaining environmental sustainability. Increasing industrialization, urbanization, and agricultural activities have significantly contributed to water pollution, making continuous monitoring a necessity. Traditional water quality monitoring systems rely on manual sampling and laboratory analysis, which are time-consuming, expensive, and do not provide real-time results.
This paper presents an Internet of Things (IoT)-based water quality monitoring system designed to provide continuous and real-time analysis of key parameters such as turbidity and TDS. The proposed system integrates sensors with an ESP32 microcontroller, which processes the collected data and transmits it to a cloud platform using wireless communication. The data is then visualized on a user-friendly dashboard, allowing remote monitoring and analysis.
The system also includes an alert mechanism that notifies users when water quality parameters exceed predefined safe limits, enabling timely intervention and preventing potential health risks. The proposed solution is cost-effective, scalable, and suitable for deployment in both urban and rural environments. Overall, the system improves efficiency, reduces manual effort, and enhances the reliability of water quality monitoring.

Keywords: IoT, Water Quality Monitoring, Sensors, ESP32, Cloud Computing