Implement of Efficiency of the Flood Prediction System and Early Warning to the Dam Using ANN
Abstract
The disasters due to
floods affect millions of people across the globe by causing damage to property
and severe loss of life. In the areas like flood prediction, flood monitoring,
and flood detection, the solutions have been provided by using the Internet of
Things. Although the IoT technologies are not able to stop the occurrence of
flood disasters but can predict the flood in advance. Artificial Neural
Networks (ANN) can be used to predict floods. This is enhanced by a system for
flood prediction using IoT and ANN. In this system, flood prediction is carried
out by a device consisting of sensors placed at three different locations of
the rivers and catchment areas feeding to the dam. The system monitors the
water in real-time by a water level sensor and ANN to predict ahead of time.
The system uses low-power IoT devices and communication technology and can be
operated on a battery. The application of ANN with IoT improves the efficiency
of the flood prediction system and can give early warning to the dam. The
prediction accuracy is also utilized to compare the performance of the model.
Country : India
1 Dr. P. Sathiya
Professor, Department of Electronics and Communication Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
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