基于模糊神经网络的火灾探测系统研究

Research of Fire Detection System Based on Fuzzy Neural Network

为降低火灾报警误报、漏报频率,根据火灾探测特点,提出了基于模糊神经网络的火灾探测系统设计方案,介绍了基于模糊神经网络的火灾探测系统组成、模糊神经网络的设计与应用等。该系统可对传感器探测到的信息进行智能化处理,明显提高了火灾探测的灵活性和准确性。仿真结果证明了该方法的可行性。

In order to reduce the rate of leak-check and error of fire alarm system, the paper put forward a design scheme of fire detection system based on fuzzy neural network according to characteristics of fire detection, and introduced the system composing, design and application of fuzzy neural networks. The system can process the data detected by sensors intelligently, which has improved the flexibility and accuracy of fire detection obviously. The result of simulation showed that it is reliability.