Research on application of artificial intelligence technology in fire alarm system of substations
Rong Cheng, Linjie Chai, Shiyao Hu
Abstract
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Rong Cheng, Linjie Chai, Shiyao Hu
Abstract
Open-access reader
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.
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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.
Key concepts: ALARM, Manual fire alarm activation, Fire alarm system, Fire detection, Smoke, Engineering, Computer science, Fire protection