Journal of Electrical Engineering and Automation

As a sudden disaster, electrical fires pose a threat to people's lives and property. Traditional fire warning systems rely on a single sensor, which cannot meet the requirements of real-time performance and accuracy. This paper proposes an electrical fire early warning system based on multi-sensor fusion, aiming to improve the sensitivity and accuracy of fire warning. By fusing data from multiple sensors (such as temperature, smoke, gas, etc.), the system can more accurately identify early signs of fires and take effective preventive measures before a fire occurs. Comparative experiments verify that the system has significantly improved response time and warning accuracy compared with traditional methods. This research provides an innovative solution for the early identification and warning of electrical fires.

Electrical fire; Multi-sensor fusion; Early warning; Fire monitoring; Data fusion