Fire Monitoring System Based on Multi-Sensor Information Fusion

The reliability and versatility of the traditional fire monitoring system based on single-sensor information is relatively poor. In this paper, a fire monitoring system based on multi-sensor information fusion is discussed, and which adopts the ART2 (adaptive resonance theory model) and the three-layer BP neural network for two-layer fusion processing for temperature, smoke and CO sensors information, and it comprehensively uses a variety of fire parameters, and the real-time monitoring of fire conditions of the measured environment is realized, and its reliability and versatility are higher.