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对居室火灾信号特性及各种智能算法进行了分析。根据分析结果,居室智能火灾报警系统中的火灾探测环节采用模糊神经网络算法,设计了模糊神经网络模型并对其进行训练。仿真结果表明,将模糊神经网络算法应用于火灾探测具有较低的误报率和较高的可靠性,符合系统的实际要求。
The characteristics of residential fire signal and various intelligent algorithms are analyzed. According to the analysis results, the fuzzy neural network algorithm is used in the fire detection of living room intelligent fire alarm system, and the fuzzy neural network model is designed and trained. The simulation results show that applying the fuzzy neural network algorithm to fire detection has low false alarm rate and high reliability, which meets the actual requirements of the system.