Data analysis for flood monitoring using Machine Learning and Internet of Things

Flood is one of the most common natural disasters that are causing damages tolife and the country’s economy. This study focuses on Flood monitoring using DataAnalysis &Internet of Things (IoT). This design incorporates certain important elementslike Water level flowing in the dam, humidity, and the water flow based on the rainfallrate. These parameters are closely monitored for predicting and releasing water from thedam at a moderate rate in advance to avoid flood issues faced by the public who are livingnear the dams. The sensor aggregates and collects the data from various sources that arecontrolled by the Wireless Sensor Network (WSN) from the controller. The sensorinformation can be analyzed and the system creates an alert to the public communitythrough the siren and alert message using a smart communication device. The design ofthe automated system is to be optimized for the control of the shutter position. The failureof the opening and closing of gates has resulted in water scarcity and its wastage. Manualgate results in human errors. Hence this system is controlled by the machine learningmechanism to follow the servo motors and the electronic control to monitor the flow ofwater according to the water level at the given time. Thereafter, the data stored in the cloudis further used for the prediction. The system can be implemented through mobile/webapplications.