Early Warning System and Flood Prediction Based on IoT with Blynk

Abstract

- Flooding is an annual disaster that occurs in big cities that hit various parts of the world including several regions in Indonesia. The disaster occurs when the water flow exceeds the drainage capacity caused by heavy rainfall or overflowing airways from body channels such as rivers that do not flow properly. To reduce the impact of flooding, a detection system that uses Internet-based technology is needed. The result of the research is an early warning system and flood prediction developed based on NodeMCU microcontroller technology with data transmission mode via wireless (WiFi) and ultrasonic sensors to detect the distance integrated to the mobile application platform. Based on the problem, it is expected that the flood detection system can provide early and accurate predictions as well as real-time information. From the results of the tests carried out, it is clear that the system developed is able to detect flood level, airflow velocity, and weather conditions including the intensity of rain that occurs in real-time.