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Research on application of artificial intelligence technology in fire alarm system of substations

机译:人工智能技术在变电站火灾报警系统中的应用研究

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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.
机译:在变电站中识别火灾是非常重要的。 传统的火灾报警系统存在低灵敏度和响应慢的问题。 本文介绍了基于人工智能的火灾报警系统的工作原理。 本文还为不同区域的不同区域设计了不同区域的不同区域,例如功能室/电缆沟槽,以确保系统的正确操作与每个区域的实际情况相结合。 由于基于人工智能的火灾报警系统可以在早期阶段和警报及时检测火灾。

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