DESIGN AND DEVELOPMENT OF SMART FLOOD DETECTION AND MONITORING SYSTEM WITH IOT BLYNK APPLICATION

Abstract

The natural phenomenon of flooding has received global attention because of its detrimental effects on civilization. One of the most common natural disasters in Malaysia is flooding, which occurs practically every year, especially during the monsoon season. Therefore, the installation of a flood warning system as a measure to monitor areas that frequently flood and early notification messages to the local community to avoid loss of property and life is very important for areas that often attack. An early flood detection and monitoring system through the Internet of Things (IoT) was proposed and developed in this research to notify people of approaching floods. People are protected from the consequences of flood disasters and given enough time to prepare for future floods with effective real-time monitoring of flash floods or overflows. The results of this project show that if the distance between the ultrasonic sensor and the water level is still more than 50m, then the water level is still low. If the water level is less than 50 cm, it is considered precautionary. Finally, a water level of less than 10 cm indicates that the water level is in danger of flooding. The purpose of temperature and humidity sensors is to identify, measure and record the amount of humidity and air temperature in the surrounding area. A device to detect rain is a raindrop sensor. In conclusion, this innovation project stands out through its portable design, low cost, freedom of internet connection, and the ability to provide flood warning information to support the Automated Weather System (AWS).