Development of IoT-based automated dynamic emergency response system against fire incidents in academic building

Al-Hady, Syed Mohammed Zakaria and Islam, Md Rafiqul and Rashid, Muhammad Mahbubur (2023) Development of IoT-based automated dynamic emergency response system against fire incidents in academic building. International Journal of Engineering Materials and Manufacture, 8 (4). pp. 75-87. E-ISSN 0128-1852

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Abstract

The ongoing advancement of architectural and structural designs, high-ceiling spaces, special spaces have made fire disasters increasingly diverse and difficult to predict. It is demanding the need for improved firefighting systems. This study aims to address the need for improved firefighting systems in academic building by proposing the development of an IoT-based automated emergency response website. The proposed system leverages IoT technology, wireless and bluetooth sensor networks to gather real-time data from various sensors and devices installed in the site and uses machine learning algorithms to predict and prevent potential fire incidents. The system also includes an emergency response website that allows users to access real-time information about the fire incident, location, severity, and evacuation instructions. Additionally, the proposed system incorporates Building Information Modelling (BIM) to optimize evacuation and rescue routes, providing early detection and accurate alarm capabilities, evacuation guidance for endangered individuals, and guidance for firefighters. The integration of BIM allows the system to provide a three-dimensional visualization of the site, enabling a more efficient and effective response to fire incidents. Overall, the proposed system aims to improve the safety and security through real-time monitoring and response capabilities. By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts. Keywords: Building Information Model

Item Type:	Article (Journal)
Uncontrolled Keywords:	Building Information Modeling, IoT, Sensor, Dijkstra Algorithm, Simulation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK9001 Nuclear engineering. Atomic power
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Engineering
Depositing User:	Dr Muhammad Rashid
Date Deposited:	03 Jan 2024 15:23
Last Modified:	03 Jan 2024 15:25
URI:	http://irep.iium.edu.my/id/eprint/109563

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