IoT-Integrated Multi-Sensor Floating Platform For Automated Water Quality Assessment

Abstract

Water quality is the most important factor for aquaculture and drinking purposes. Water pollution is a major threat that affects the aquatic life and human’s health. Conventional water quality methods use visual and physical testing to evaluates the probability of collected water sample. The solution of this problem is we proposed a manually floating platform for automated water condition sensing and detection system. It is an IoT based system that checks the quality of water in real-time. The proposed system uses an ESP32 microcontroller embedded with multiple sensors which are pH sensor, TDS (total dissolved solids) sensor, Turbidity sensor, Temperature sensor (DS18B20). These sensors continuously track the key parameters collected from multiple locations in the lakes or ponds. The ESP32 microcontroller reads the sensors values and determines whether the water is SAFE or NOT SAFE based on the predefined threshold values. The sensor acquired data is uploaded to Blynk IoT environment which is available for the users to check the water quality. The developed system yields a resource-optimized, energy-efficient and sustainable approach towards ecological parameter assessment. It can be deployed in lakes, ponds, aquaculture and for industrialization.