多传感器飞机货舱火警探测系统研究  

Research on the Multi Sensor Fire Detection System in Aircraft Cargo

作　　者：张红梅[1] 叶慧[2] 郑罡[1] 周洁敏[1] 肖朝康 

机构地区：[1]南京航空航天大学民航学院,南京211106 [2]安阳工学院飞行学院,河南安阳455000

出　　处：《重庆理工大学学报（自然科学）》2017年第7期176-181,共6页Journal of Chongqing University of Technology：Natural Science

基　　金：国防基础预研基金(609)资助项目(APSC NJZX D201301 J03)

摘　　要：以提高飞机货舱火警探测系统的可靠性为目的,结合多传感器数据融合理论,分析不同火警探测器的特性,建立BP神经网络三融合固定火警探测系统。针对飞机货舱对火灾探测系统的要求,设计便携式集装箱火警探测系统;借助Matlab进行仿真,将集装箱火警探测系统和三融合火警探测系统组合成为新型飞机货舱火警探测系统,能够监测货舱是否发生明火警告、阴燃火警告或者集装箱火警告,创建火警探测系统GUI界面,将探测数据及融合结果数据呈现在用户图形界面。On the basis of multi-sensor data fusion theory and the characteristics of different fire detectors, a fire detection system of three fixed fire detector based on BP neural network is founded, and a portable container fire detection system according to the requirements of aircraft cargo fire detection system is designed for the purpose of improving the reliability of aircraft cargo fire detection system. The simulation with Matlab can help to combine container fire detection system and three fusion fire detection system into aircraft cargo fire detection system, which can be used to judge whether open fire, smoldering fire or container fire is happening. GUI interface of fire detection system is built to show user the result data of detection and fusion.

关 键 词：飞机货舱 MATLAB 集装箱火警探测系统 BP神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]