Early warning system for rapid flood at recreational area sites using LoRa network

Ramizi, Nur Aliah Faqihah and Abd Halim, Iman Hazwam (2023) Early warning system for rapid flood at recreational area sites using LoRa network. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 141-142. ISBN 978-629-97440-5-4

Abstract

Flood is one of the major disasters that affects many people each year in numerous places throughout the world. This flood disaster can occur anywhere, but the recreation area is the most dangerous. Therefore, an Io T early warning system for flood detection utilising the Arduino technology is suggested as a possible fix. The system is made up of a few sensors, including temperature, humidity, water flow sensor and ultrasonic ones. This research aims to develop a system that can contribute to collect data which will be used as an attribute to monitor and detect the water flow activity such as the water level and water velocity. Then to notify the potential occurrence of rapid flood. To implement this system, a System Development Life Cycle (SDLC) has been used as the methodology. Testing has been conducted by using method field testing at Puncak Janing Waterfall to evaluate the functionality of all sensors. All the data that has been taken is saved in the firebase database. The connection also used ESP32, where the coding was written and compiled using Arduino IDE software. This project has successfully achieved its objective where water level and water velocity can be monitored and stored in a firebase.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Ramizi, Nur Aliah Faqihah
UNSPECIFIED
Abd Halim, Iman Hazwam
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 141-142
Keywords: IoT, Rapid flood, LoRa, water velocity, water level
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138829
Edit Item
Edit Item

Download

[thumbnail of 138829.pdf] Text
138829.pdf

Download (52kB)

ID Number

138829

Indexing

Statistic

Statistic details