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基于神经网络的网络传感器火灾报警系统
引用本文:李红军.基于神经网络的网络传感器火灾报警系统[J].柳州职业技术学院学报,2008,8(3):85-88.
作者姓名:李红军
作者单位:连云港职业技术学院,机电工程学院,江苏连云港,222000
摘    要:为降低火灾报警系统的漏检、误报,本文利用网络化多传感器技术设计了数据融合模块,基于神经网络BP算法良好的非线性映射能力,对温度传感器、烟雾传感器和一氧化碳传感器同时探测的数据进行智能化融合处理。结果表明:该火灾报警系统能准确地识别火灾信号,明显减少了误报和漏报率。

关 键 词:网络化多传感器  BP  融合  火灾报警系统

Network Sensor Fire Alarm System Based on Neural Network
LI Hong-jun.Network Sensor Fire Alarm System Based on Neural Network[J].Journal of Liuzhou Vocational & Technical College,2008,8(3):85-88.
Authors:LI Hong-jun
Institution:LI Hong-jun (Electrical and Mechanical Engineering College, Lianyungang Vocational and Technical College Lianyungang 222000, China)
Abstract:In order to reduce the leak-check and error rate of the fire alarm system,the information fusion module is designed for the multi-detector.The nonlinear reflecting capability of neural is applied to intelligently process the data synchronously detected by temperature sensor,smog sensor and CO sensor.The result shows that the system effectively decreases the mistake rate of the fire detector and fire extinguisher.
Keywords:multi-detector  BP  information fusion  fire alarm systen
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