基于多传感器融合的飞机货舱火警探测  

Fire detection of aircraft cargo cabin based on multi-sensor fusion

作　　者：钟玲玲[1] Zhong Lingling(Institute of Aeronautical Engineering,China Civil Aviation Institute,Guanghan 618307,China)

机构地区：[1]中国民航飞行学院航空工程学院,四川广汉618307

出　　处：《江苏科技信息》2018年第28期41-43,共3页Jiangsu Science and Technology Information

摘　　要：文章介绍了目前飞机货舱火警探测系统的探测原理,报警逻辑和运行情况,针对飞机货舱火警探测系统误报率高的问题,在研究火灾探测新技术的基础上,提出了一种基于多传感器融合的探测系统。结合烟雾浓度、CO含量和环境温度传感器的输出信号,利用人工神经网络和模糊推理的相结合的方式来判断火情,尽可能地减少虚假火警。该系统改进了目前飞机货舱火警探测只利用单一烟雾信号,误报率较高的情况,为飞机货舱火警探测系统的发展提供了新方向。This paper introduces the detection principle,alarm logic and operation of the aircraft cargo cabin fire detection system.Aiming at the problem of high false alarm rate in the aircraft cargo cabin fire detection system,the new fire detection technology is studied.A detection system based on multi-sensor fusion is proposed.Combined with the output signal of smoke concentration CO content and ambient temperature sensor,the artificial neural network and fuzzy inference are used to judge the fire situation and to reduce the false fire alarm as much as possible.The system improves the current situation that only a single smoke signal is used to detect the aircraft cargo cabin fire,and the false alarm rate is high.The system is used for the aircraft cargo cabin fire detection system.The exhibition offers new directions.

关 键 词：多传感器融合 飞机货舱 火灾探测技术 人工神经网络 模糊推理 

分 类 号：V271.2[航空宇航科学与技术—飞行器设计]