IoT flood monitoring system

Vajathan, Vimalan Pillai and Dhinagaran, Sachinn and Thivianathan, Timothy Nathan and Tamilamuthan, Shaarveen and Govindasamy, Sanjay (2023) IoT flood monitoring system. International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education. pp. 757-760. ISSN 9789672948568

Official URL: https://ispike.uitm.edu.my

Abstract

The flood monitoring system is designed to provide real-time data and early warning capabilities for effective flood management. By utilizing a network of sensors deployed in flood-prone areas, the system continuously monitors key parameters such as water levels and rainfall intensity. The collected data is transmitted to a central monitoring platform, where advanced analytics algorithms analyze the data streams and generate alerts and warnings based on predetermined thresholds. This enables authorities to take proactive measures, issue timely evacuation notices, and allocate resources effectively. The system also incorporates visualization tools to present the data in a user-friendly manner, aiding in decision-making and post-flood analysis. Overall, the flood monitoring system enhances flood preparedness, response capabilities, and public safety, contributing to improved flood management and reduced damages.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Vajathan, Vimalan Pillai
kolendavelu57@gmail.com
Dhinagaran, Sachinn
UNSPECIFIED
Thivianathan, Timothy Nathan
UNSPECIFIED
Tamilamuthan, Shaarveen
UNSPECIFIED
Govindasamy, Sanjay
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Said, Roshima
roshima712@uitm.edu.my
Chief Editor
Yusoff, Siti Norfazlina
fazlina836@uitm.edu.my
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education
ISSN: 9789672948568
Page Range: pp. 757-760
Keywords: IoT, Flood monitoring system, Post-flood analysis
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/128158
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128158

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