IoT based Multi-Parameter Water Quality Monitoring System Development

Water quality monitoring is essential for ensuring the safety and suitability of water for domestic, agricultural, and industrial applications. Traditional methods of water quality assessment are time-consuming and require manual sampling and laboratory analysis. To overcome these limitations, an IoT-Based Multi-Parameter Water Quality Monitoring System has been proposed for real-time monitoring of important water quality parameters. The main objective of this project is to continuously monitor water quality by measuring parameters such as pH, Total Dissolved Solids (TDS), turbidity, temperature, and humidity. The system utilizes an ESP32 microcontroller along with a pH meter, TDS sensor, turbidity sensor, and DHT11 sensor to collect data from the environment. The acquired sensor readings are processed by the ESP32 and displayed on an LCD screen for local monitoring. The measured data is also transmitted to the Blynk IoT platform through Wi-Fi, enabling remote monitoring and analysis. The developed system provides real-time measurement and display of water quality parameters, allowing users to assess water conditions efficiently. The integration of IoT technology enables continuous monitoring and remote accessibility, reducing the need for frequent manual testing. The system can be applied in households, agricultural fields, laboratories, and small-scale water treatment facilities for effective water quality assessment. Future enhancements of the system include the integration of additional water quality sensors, cloud-based data storage, mobile alert notifications, and AI-based prediction techniques for advanced water quality analysis. These improvements can enhance the efficiency and reliability of the monitoring system and support smart water resource management.