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IoT-Enabled Water Quality Management System for Rural Areas of Bharuch District

  • Bannishikha Banerjee,
  • Dipayan Hazra,
  • Dhrubasish Sarkar

摘要

In our daily lives, factors regarding water quality are quite important. The ability to predict water quality will help to protect human health and decrease water pollution. When the quality of the water is anomalous, an intelligent procedure for monitoring it analyses the sensor data automatically using IoT and notifies the water analyst right away. The beginning of machine-to-machine communication makes data analysis and communication easy and effective. This project involves an Internet of Things (IoT)-enabled water quality management system for lakes and rivers in one of India's most polluted districts, particularly in Bharuch's rural areas. The building employs pH, turbidity, and conductivity sensors to gauge the water's quality metrics, including the quantity of ions and total dissolved solvents. With the use of prepared informational collection from various water tests, K Means calculation has also been used to forecast the character of water. With the help of inexpensive embedded devices like the Raspberry Pi and Arduino Uno, this proposed concept provides rural residents with water of a consistent quality.