基于模糊神经网络融合技术的智能火灾预警系统

根据当今火灾探测的现状和实现火灾早期探测的需求,将多传感器数据融合技术应用在火灾预警系统中.选择多个传感器对火灾过程的多参数进行监测,特别对火灾发生初期产生的异常信息进行全面监控,弥补了采用单一传感器的不足,扩展了时间上和空间上的监测范围.系统采用基于模糊神经网络多传感器融合技术,增强了系统报警输出的灵敏度和可靠性,实现了提前预警的目的.

Intelligent Fire Alarm System Based on Fuzzy Neural Network Data Fusion

According to current situation of modern fire monitoring and demands of early warning of fire,multi-sensor data fusion is applied for fire alarm systems.Detecting multi parameters of fire course by multi sensors,especially roundly detecting abnormal information of initial stages of fire,can make up the lack of single sensor,and can extend monitoring range for time domain and space domain.In this paper,a method based on fuzzy neural network multi-sensor data fusion technology is applied,and sensitivity and reliability of systematic warning is strengthened,so aim of early warning may be achieved.