Flood Disaster Indicator Of Water Level Monitoring System Using Internet Of Things (IoT)

Lim, Shih Huey (2018) Flood Disaster Indicator Of Water Level Monitoring System Using Internet Of Things (IoT). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Flood is the most destructive natural hazards experienced in Malaysia. Floods give a high impact to the population that can be the critical issues and residents live with anxiety due to the flooding problem faced. This project is designed to produce an effective flood disaster indicator using Internet of Things (IoT) technology, which is the water level of the certain area is detected and measured without the physical presence to the area to measure it. The ultrasonic sensor detects the water level, in which the distance from it. The detected value or data activates the Arduino Mega. At the same time, the real time data is sent to the IoT platform via the ESP8266 Wi-Fi module. The Light Emitting Diode (LED) has changes in color when different range of distance detected from the ultrasonic sensor. The Liquid Crystal Display (LCD) shows the reading of the detected distance near to the ultrasonic sensor. The Blynk application is the platform for the user to obtain the real time water level information and translates the alert message to users. The user is able to monitor and observe the water level directly from mobile phones. The buzzer produces sound when water level is in high-risk state. The model determines the water level using ultrasonic sensor, then it analyzes the collected data and determine the type of danger present. As a conclusion, flood disaster indicator acts as a alerting system of precautionary action for the victims. With the use of flood disaster indicator of water monitoring system, residents have the advance notice, so that they are able to prevent loss of lives, trauma from disaster and property from damage.

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