Abstract

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.

Highlights

  • There are a large number of computers, power supplies, and expensive equipment, wires and cables, and various storage media in the substation

  • Among the various causes of fires, 32% of fires are caused by power supply systems (AC and DC power supplies, batteries, generators and power supply lines, etc.). 18% of fires are caused by other electrical equipment in the building, including air conditioning, heating equipment, lighting system, etc. 10% of fires are directly caused by wiring inside the equipment

  • 3.1 Principle of aspirating smoke detection system based on artificial intelligence technology Aspirating smoke detection system based on artificial intelligence technology uses active detection and broadspectrum high-energy LED light source technologies

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Summary

Background

There are a large number of computers, power supplies, and expensive equipment, wires and cables, and various storage media in the substation. Due to the high integration of equipment, the requirements for the operating environment are getting higher and higher, and any changes in temperature and humidity will cause the components to heat up. 10% of fires are directly caused by wiring inside the equipment. When fire occurs, it will cause direct damage to the equipment, and cause long-term harm to the surrounding equipment and items, since the generated gas from the electronic equipment of special material having a strong corrosive combustion. The substation is equipped with an intelligent auxiliary control system including the fire

The shortcomings of traditional fire alarm systems
Application of artificial intelligence technology in fire alarm system
Smoke detection technology
Application of artificial intelligence technology in the system
Material selection of detector sampling tube
Sampling plan of function room
Findings
Full Text
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