Abstract -In this project, we are going to introduce the pre-intimation for breakage of dam alert for peoples who are living around near the dam/lake.To achieve this we are using different kind of sensor network. The entire system should be controlled by Microcontroller.The level sensor may find out the water level of the dam and it sends the dam water level to the concern in charge for every one min.The Water flow motor will on find the force of the water coming to the dam from various river kinds of source.After that it will do some calculation with compared result of both water level and force of water. Artificial learning Algorithm is used to predict the future time value and send SMS to the near living people.And one user App was developed to find the people who struck in the flood.A prototype system was developed to support dam-breakage alert system.

Key Words: Flood, Alert, Water Level, Rain detector, Machine Learning, IoT


Downloads: PDF | DOI: 10.17148/IJIREEICE.2021.9418

Cite This:

[1] V.Sudha, S.Kalai Selvi , B.Liyona, "Real Time Flood Monitoring and Prediction of Water Accumulation based on Deep Learning," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2021.9418

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