基于神经网络的智能电气火灾预警系统设计

The design of intelligent electrical fire alarm system based on neural network

分析了电气火灾发生的主要原因,设计了一种基于神经网络的智能火灾预警系统,通过相应的传感器采集电气线路的信号,经过神经网络模型处理后,得到电气火灾发生的概率,为火灾的预警信息提供可靠依据。实际仿真运行结果表明,该方法能够可靠预防由于电气故障引起的火灾,系统还具有精度高、误报率低、使用方便等特点,可满足于高层建筑以及其他场合的电气火灾预警需要。

Aralyzed the main causes of electrical fires, designed a kind of intelligent fire alarm system based on neural network, collected signal of electric circuit through corresponding sensor, and used neural network model to deal with. Finally, we got the probability of occurrence of electrical fire, providing reliable basis for fire warning information. Practical simulation results showed that the method could reliably prevent fire due to elec- trical fault, the system also had a high accuracy, low false a- larm rate, easy to use and other characteristics, to meet needs in high-rise buildings and other occasions of electric fire warning.