多传感器信息融合火灾探测器的研究

Research of Multi-Sensor Information Fusion Fire Detection System

为降低火灾报警误报、漏报率,本文结合火灾信号的特点,提出一种基于模糊神经网络的多传感器信息融合的智能火灾探测系统。对火灾发生时特征比较明显的温度、烟雾、CO气体三种传感器信息进行融合,通过模糊神经网络的应用,得出火灾发生的概率,有效提高了火灾探测的准确性。仿真结果验证了系统的有效性和可行性。

To reduce false fire alarms, combining with the character of fire signal, a kind of intelligent fire detection system of multi- sensor information fusion based on fuzzy neural network is proposed in this paper. This fire detector fuses three sensor data including temperature, smoke and CO air which have obvious character in fire and fire probability can be obtained by intelligent arithmetic of fuzzy neural network. As a result, the accuracy of the fire detection is improved effectively and the feasibility and the validity of the system are proved by the simulation effects.