IoT-Based Real Time Water Quality Detection System

Abstract: Water quality decline is a major global issue, leading to economic losses and public health risks. Traditional testing methods are often slow, costly, and geographically limited, highlighting the urgent need for continuous, real-time assessment solutions. This project introduces an innovative Internet of Things (IoT)-based system for real-time water quality detection. It's designed to revolutionize environmental monitoring by integrating advanced sensor technology, embedded systems like the ESP8266. The system uses a comprehensive suite of sensors—including those for pH, turbidity, temperature, dissolved oxygen, and total dissolved solids (TDS)—to provide a holistic, detailed view of water conditions, allowing for the early detection of both gradual changes and sudden contamination events. Data is processed at the edge through embedded firmware, utilizing communication protocols like Wi-Fi to transmit validated data to scalable cloud platforms like Firebase IoT Core. This data then powers a user-friendly interface featuring web and mobile dashboards for real-time data visualization, historical trend analysis, predictive alerts, and remote configuration. Ultimately, this system offers significant improvements over conventional methods in terms of cost, responsiveness, and geographical coverage, providing essential tools for effective water quality management, public health protection, and efficient water resource utilization.

Keywords: ESP8266 microcontroller, Real-time monitoring, Ph, TDS, Turbidity, Alert system, Buck converter, Dashboard, Firebase