• 2026-05-08
• A.T Oyelami, M.C. Modu, S.O. Dasaolu, A.A. Owodolu, M.O. Olagunju
• Volume 2, Issue 1

Abstract

Access to clean and safe drinking water remains a major global challenge, particularly in rural and underserved communities where water treatment infrastructure is limited. This study presents the design and implementation of an Internet of Things (IoT) enabled Smart Water Purification System capable of autonomously monitoring and improving water quality. The system integrates a multi-stage filtration mechanism consisting of sediment filtration, activated carbon filtration, reverse osmosis (RO), and ultraviolet (UV) sterilization. Real-time monitoring of water parameters is achieved using sensors that measure pH, turbidity, Total Dissolved Solids (TDS), temperature, pressure, and water flow. An ESP32 microcontroller acts as the central processing unit, collecting sensor data and controlling system actuators such as pumps, solenoid valves, and UV lamps. The processed data is transmitted via Wi-Fi to an IoT platform for remote monitoring and control. Experimental evaluation shows that the developed system achieved approximately 97.3% reduction in TDS and 85.3% reduction in turbidity, meeting recommended drinking water standards. The system also demonstrated approximately 35 hours of autonomous operation using a rechargeable battery bank. The proposed system provides a cost-effective and scalable solution for smart water purification in resource-limited environments

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