飞机货舱火灾多传感器探测方法研究

Research on multi-sensor method for detecting aircraft cargo fire

为解决目前飞机货舱火灾探测器误报率极高、响应速度慢的问题,开发一种基于烟雾颗粒浓度、温度、CO质量浓度和CO2质量浓度的多传感器飞机货舱火警探测方法并制定多参数报警算法。选择合适型号探测器构成烟雾、温度、CO和CO2多传感器探测装置;采用常见火灾材料及干扰源在模拟货舱内进行真假火源试验;根据从试验数据中提取的火灾发生的特征信息制定多参数报警算法。结果表明：真实火灾产生大量的CO和CO2,其质量浓度变化非常大;假火灾只产生极少量的CO和CO2,质量浓度基本与环境中持平;用基于多传感器火灾探测装置可以准确区分真假火源,大幅度降低误报警率;多参数报警算法较单参数算法响应更快。

In order to solve the problem of high false alarm rate and low response of aircraft fire detectors,an aircraft fire multi-sensor detection method based on smoke,temperature,CO and CO2 was worked out and a multi-parameter alarm algorithm was developed. First,suitable detectors were selected to form a smoke,temperature,CO and CO2 multi-sensor detection device. Then the common fire materials and the nuisance sources were used to carry out true and false fire tests in a simulated cargo. The information on characteristics of fire was extracted from the test data,and a multi-parameter alarm algorithm was developed. The results show that the real fire produces a large amount of CO and CO2,and their mass concentrations increase greatly,that the false fire produces only a very small amount of CO and CO2,and the concentrations are almost the same as the environment,that the multi-sensor fire alarm device can accurately distinguish the true from false fire source,and reduce the false alarm rate,and that the multi-parameter alarm algorithm responds to fire faster than the single parameter algorithm.