Flood Detection and Avoidance by Using IoT

Floods are basic catastrophic events that allow extreme desolation of any nation. They are typically brought about by precipitation and overflow of waterways, especially during heavy stormy season. This project aims to monitor the flood condition and send alert if there is an occurrence of risk through IOT. The measurement of rising water level is done to detect the flood. The system uses three sensors to detect temperature, humidity and water levels at every stage. The detected sensor values are processed using PIC Microcontroller and it is transmitted to IOT through Wi-Fi module. The system instantaneously uploads and broadcast sensor values through cloud. The decision tree algorithm is implemented to perform the classification process.  The experimental results for correctly classified instances and minimum absolute error indicate that the proposed decision tree algorithm gives 99.6% classification accuracy with minimum mean square error than hyper pipes algorithm.  

Keywords: Flood detection system, sensor data, pic microcontroller, IoT, decision tree