飞机货舱可燃物在干扰源状态下火灾特征参数研究

Research on the characteristic parameters of fire in the cargo hold of aircraft in the presence of combustible materials and an ignition source state

目前民用飞机货舱主要采用传统光电式烟雾探测器来识别火灾烟雾,但由于飞机货舱中悬浮有其他干扰颗粒(灰尘、水蒸气等)会触发火灾探测器报警,传统光电式烟雾探测器存在误报率高的问题。采用基于双波长及索特平均粒径的光电式烟雾探测器采集飞机货舱典型燃烧物、干扰源的红外光散射功率、蓝光散射功率,以此作为火灾参数,通过对颗粒物红外光散射功率与蓝光散射功率进行分析,结合索特平均粒径分析,为研发复合型烟雾探测器优化火灾参数。结果表明:红外光和蓝光对火灾烟雾颗粒有较好地响应,结合索特平均粒径,可以有效区分火灾烟雾颗粒与非火灾烟雾颗粒,降低误报率,干扰源误报率不超过6.7%。

At present,the civilian aircraft cargo hold is mainly used photoelectric smoke detector as a fire smoke identification,due to the other interference particles(dust,or water vapor,etc) will be suspended in the aircraft cargo hold,which will trigger the fire detector alarm,there is a high false alarm rate problem.Based on the dualwavelength photoelectric smoke detector can effectively reduce the problem of high false alarm rate,the collection of aircraft cargo hold typical combustibles as well as interference sources of infrared light scattering power,blue light scattering power as a fire parameter,through the particulate matter of infrared light scattering power and blue light scattering power analysis,as well as a collection of the Sauter mean particle size analysis for the subsequent development of composite smoke detector optimization of the fire parameter.Results show that the infrared and blue light have a good effect on the fire smoke particles,and a better response to fire smoke particles.Combined with the Sauter mean particle size,which can effectively distinguish between fire smoke particles and non-fire smoke particles,reduce the false alarm rate.The false alarm rate of the interference source does not exceed 6.7%.