【摘要】 为了精确高效地识别、分析、处理火灾,将神经网络、模糊逻辑、分级报警技术综合应用在火灾探测报警系统中,建立了一种神经网络与模糊逻辑相组合的火灾探测分级报警模型。通过编制MATLAB仿真模型,利用归一化处理后的NIST两组实验数据作为仿真试验数据,进行了一系列仿真试验。结果表明:火灾探测分级报警模型不仅能够识别有无火灾,还能进一步识别火灾类型、规模和发展过程。更多还原

【Abstract】 In order to accurately and efficiently identify, analyze and deal with fires, the conflicting requirements of accuracy and sensitivity of fire detection must be addressed. The neural network, fuzzy logic and hierarchical alarm technology are applied in the fire detection and alarm system, and a fire alarm detection and classification alarm model combining neural network and fuzzy logic is established. Through the preparation of MATLAB simulation model, using the normalized NIST two sets of experimental data as simulation test data, a series of simulation tests are conducted. The results show that the fire detection and classification alarm model not only can identify the presence or absence of fire, but also can further identify the fire type, scale and development process.更多还原