Research Article
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Published on 15 March 2024
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Guo,P. (2024). The application of Internet of Things technology in intelligent fire protection. Applied and Computational Engineering,47,159-163.
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The application of Internet of Things technology in intelligent fire protection

Peihan Guo *,1,
  • 1 Hebei University of Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/47/20241278

Abstract

The uncertainty of fire and the difficulty of accurate prevention greatly increase the difficulty of fire prevention and control. Therefore, it is necessary to actively introduce modern science and technology, adopt fire Internet of Things (IoT) technology, realize remote dynamic monitoring, and accurately obtain fire prevention and control data information. This paper carries out an in-depth analysis on fire prevention and control, focusing on the application of fire IoT in the field of fire prevention and control. In addition, it specifically introduces the key technologies of intelligent fire protection, Radio Frequency ID, and the construction of fire safety models. At the same time, it describes the problems faced by the IoT in intelligent fire protection, that is, the quality of transmitted information is not strong, the speed of message transmission needs to be improved, and the application platform that is more conducive to the transmission of information needs to be built. By overcoming these issues, the future intelligent fire control system will be more intelligent and bring more convenience to people.

Keywords

Internet of Things Technology, Intelligent Fire Protection, Data Mining, Artificial Intelligence

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Cite this article

Guo,P. (2024). The application of Internet of Things technology in intelligent fire protection. Applied and Computational Engineering,47,159-163.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Conference website: https://www.confspml.org/
ISBN:978-1-83558-335-7(Print) / 978-1-83558-336-4(Online)
Conference date: 15 January 2024
Editor:Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.47
ISSN:2755-2721(Print) / 2755-273X(Online)

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