IoT and ANN Based Automatic Water Level Monitoring For Dams

Dams play a momentous role to store and capitalize on the water. This paper aims to give an idea to manage the flood water collected in the reservoir of a dam and route it automatically into the canal using the Internet of Things and ANN-based monitoring system. An IoT system is developed for Routing the river water by utilizing the over-abundance of water that is present near the dam. The ratio of the distribution of river water from dams to canals will be decided based on several aspects such as command area, water requirement, etc. During calamities and disasters, the presence of a human is limited. The immediate actions need to be performed by the IoT devices during these situations. A weather prediction system has been developed to predict the weather before ahead before disaster using artificial neural networks. This paper will provide an idea about the efficient and automated operation of dams and routing systems to canals. Our work will be extremely useful in effectively managing the water resources during floods and other calamities that emerged in a locality and avoid submergence in low-lying areas within the catchment area.