Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
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Article Number | 01015 | |
Number of page(s) | 4 | |
Section | Energy Chemistry and Energy Storage and Save Technology | |
DOI | https://doi.org/10.1051/e3sconf/202125701015 | |
Published online | 12 May 2021 |
Research on application of artificial intelligence technology in fire alarm system of substations
State Grid Hebei Economic Research Institute, Shijiazhuang, Hebei, 050000, China
* Corresponding author’s e-mail: chengrong1991@126.com
It is very important to identify fires in substations. Traditional fire alarm systems have problems such as low sensitivity and slow response. This article introduces the working principle of a fire alarm system based on artificial intelligence. And this article also designs different smoke particle sampling schemes for different areas in the substation, such as functional rooms/cable trenches, to ensure the correct operation of the system combined with the actual conditions of each area. Resulting that the fire alarm system based on artificial intelligence can detect the fire at the early stage and alarm in time.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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