MONITORING AND WARNING OF FLOODING CONDITIONS USING IOT BASED SYSTEMS

Abstract

Flooding is one of the most devastating natural calamities that needs to be addressed. It has significant impacts on the economy and has caused many deaths. A major reason for these fatalities is the absence of early warnings.
This project introduces an innovative method for flood detection and measurement using affordable components and IoT technology. The study utilizes devices like the NodeMCU, Ultrasonic sensors, and others to detect and measure floodwater depths accurately.
The flood detection system integrates an SR04 sensor with a NodeMCU ESP8266 microcontroller to continuously measure distances to the water surface using ultrasonic waves. The microcontroller processes sensor data, converting it into Wi-Fi-compatible format through the Arduino IDE. This enables the establishment of connections to the local Wi-Fi network and the BLYNK IoT Cloud Platform for data transmission.
Once connected, the microcontroller sends processed sensor data to the BLYNK Cloud Platform at regular intervals. Users can access custom dashboards on BLYNK to visualize real-time river level data from any internet-enabled location. They can track the river levels graphically, enabling quick and easy interpretation of the data for effective flood monitoring.