Development flash flood detection based on IoT

Mazman, Mohamad Farhan Adzri (2021) Development flash flood detection based on IoT. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Flood is a natural phenomenon, and it is one of the largest natural disasters often occurring worldwide and can cause a negative impact towards the society. The flood may happen without warning and the after effect can causes significant harm to the surrounding ecosystem and put citizen lives in danger. Therefore. “Flash Flood Detection Based on IOT” is proposed to reduce the damage and risk caused by the flood. The aim for this project is give the users information of current water level in a drain. A warning notification sent to the users indicating three types of water level which are safe, warning and danger. The flood detection based on IOT includes an ultrasonic sensor that detects the current water level while also allowing users to view the duration of the water level from their phone and making them more aware of when flooding is likely to occur. This system can provide plenty of time to prepare against predicted flood occurrence and they can be rescued from the aftermath of a flood catastrophe.

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