Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/18197
Title: Improved Fire Safety and Protection Model for Smart Buildings with Internet of Things
Authors: Jack, Kufre E.
Adigun, Abdulraheem S.
Adewale, Faith A.
Inyang, Aniekan B.
Keywords: Internet of Things
Fire safety
Fire protection
Improved Model
Smart buildings
Issue Date: 16-Dec-2021
Publisher: ACM Digital Library and indexed in DBLP, Scopus and Thomson
Citation: K.E.Jack, A. S. Adigun, F. A. Adewale and A. B. Inyang (2021). Improved Fire Safety and Protection Model for Smart Buildings with the Internet of Things. Proceedings of the 5th International Conference on Future Networks amp Distributed Systems (ICFNDS2021), pp. 287–292, Doi:10.1145/3508072.3508115, Dubai, United Arab Emirates, December 15, 16, 2021.
Abstract: The expansion of smart cities around the world in recent years has necessitated the protection of building infrastructure and the environment from the possibility of a fire outbreak. Existing fire safety and protection systems have to be upgraded for optimal usage with Internet of Things-enabled equipment in smart buildings, necessitating the creation of a better fire safety and protection model for smart buildings in the context of smart cities. Sensors detect and report conditions surrounding a fire occurrence in this project, which uses Internet of Things-enabled devices to provide fire safety and protection services for smart buildings. In order to determine the fire state in real time, flame and gas sensors were put in the smart building. The design was modelled, simulated, and constructed using Proteus software with code written in Arduino IDE, and the data gathered from the design was evaluated using ThingSpeak, which has MATLAB software capability. After demonstrating this upgraded model in a 3600m × 3600m smart room, the result obtained shows that within the temperature of 21 to 37oC, there was no fire detected in the building, whereas, temperature above 53.5 to 58oC indicate the presence of fire in the building. Similarly, the smoke sensor value at 24ppm shows that there is no smoke in the building, while at 56ppm and above indicates that there is smoke in the building. An attempt will be made to demonstrate it in a huge smart city environment
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18197
Appears in Collections:Mechatronics Engineering

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