Electrical fire early warning system based on multi-sensor fusion
基于多传感器融合的电气火灾早期预警系统

摘要

电气火灾作为一种突发性的灾害，威胁着人民生命财产的安全。传统的火灾预警系统依赖于单一传感器，无法满足实时性和准确性的需求。本论文提出了一种基于多传感器融合的电气火灾早期预警系统，旨在提高火灾预警的灵敏度与准确性。通过对多种传感器数据（如温度、烟雾、气体等）的融合，系统能够更精准地识别火灾早期迹象，并在火灾发生前采取有效的预防措施。通过对比实验，验证了该系统相较于传统方法在响应时间和预警准确度上的显著提升。本研究为电气火灾的早期识别与预警提供了一种创新的解决方案。

Abstract

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.