Use Of Iot Device In Real Time Water Quality Monitoring Of Indian Rivers

Electronic and communication Engineering

Numerous rivers in India are heavily polluted by industrial waste, agricultural discharge, and municipal effluent, which poses a significant environmental challenge. Real-time monitoring of water quality is crucial for protecting human health, preserving aquatic life, and preserving the ecological balance of river systems. This thesis proposes a system that uses Internet of Things (IoT) devices, namely NodeMCU, and cloud computing technology to perpetually monitor and analyse the water quality of Indian rivers.We use a Turbidity measuring sensor (SKU SEN0189), which detects the presence of suspended particulates in the water, and a DHT11 sensor to measure the atmospheric temperature and humidity in order to measure the water quality. The acquired data is then stored and analysed using a Thingspeak server, a platform designed for IoT applications, while simultaneously being preserved on an SD card module for additional in-depth analysis.The proposed system offers numerous advantages for real-time monitoring of water quality. By utilising IoT devices, it is possible to acquire accurate and up-to-date data on the water quality parameters. The cloud computing technology enables remote data access and sharing with relevant parties, such as environmental agencies, researchers, and policymakers. With the implementation of this system, environmental authorities will be able to promptly identify pollution sources, monitor the efficacy of pollution control measures, and make informed decisions to mitigate the negative effects of water pollution. Moreover, the availability of real-time data enables local communities to take proactive measures to safeguard their water resources and facilitates scientific research on the ecological health of rivers.

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