An Efficient Design and Development of IoT Based Real-Time Water Pollution Monitoring and Quality Management System

Water pollution is a significant cause of several diseases and requires intensive monitoring, procuring techniques to control contamination in water. Several techniques are implemented to stop water pollution, but somehow real-time monitoring achieves a significant impact among these. In this work, a real-time monitoring system based on Internet of Things (IoT) techniques is implanted to monitor, control, and take precautionary action through intimation to the authorities. The wireless sensor nodes are planted at different locations of water resources to check the water quality, significant impact among these. In this work, a real-time monitoring system based on Internet of Things (IoT) techniques is implanted to monitor, control, and take precautionary action through intimation to the authorities. The wireless sensor nodes are planted at different locations of water resources to check the water quality. The data obtained from sensor nodes are transmitted to a remote server, i.e., a cloud platform, and an analysis is carried out to check the water quality condition. The data samples collected from the different locations were analysed to identify the quality; the intimation is provided to the specific region controllers if water quality changes. The resultant information from the analysis can be used to take precautionary measures and identify the source of water pollution. The implementation of IoT makes it feasible to monitor and prevent water pollution in a real-time environment in a remote fashion.