FLOOD MONITORING AND WARNING SYSTEM WITH IOT
Keywords:
Flood; Flood monitoring and warning system; IoT; Arduino IDE; Blynk softwareAbstract
In Malaysia, flooding is one of the most common disasters occurring at the end of the year, especially in monsoon time, where it will cause death and loss of property. Today, human activities are the major problem contributing to this disaster such as uncontrolled development, river obstruction, deforestation that damage the catchment area and other factor contributing to flooding. Public use conventional ways to forecast events in many rural areas in Malaysia to track flood occurrence where they will be waiting for some expected activity near the river side. By observing the area that had known in danger, this action is risky. The population always has its own deficiency of society, which will influence the measured data. Thus, a flood protection plan was planned based on human and property. This project idea was generated to solve this issue by developing a Flood Monitoring and Warning System with IoT (FMWSI). This project used Arduino IDE for coding and Blynk software for Internet of Things (IoT) which it can help the user to monitor the road from a long distance. Using ultrasonic sensors, the detection system acts as water level detectors. The i2c 16X2 LCD display and traffic light module were used in this FMWSI to reveals the river's state to the user where it will be located 1km from the selected area so that the citizen will always recognize and be warning. When ultrasonic sensor detects the water level, the led will turn on according to the condition of the water level and the IoT will sends the notification to the user. The device plays an important role in keeping properties and human life safe and monitoring them. This system will help the residence to act before the flood gets worse and prevent flood trap.
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Journal of Engineering Technology (JET) is an open-access journal that follows the Creative Commons Attribution-Non-commercial 4.0 International License (CC BY-NC 4.0)



