主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2022, Vol. 41 ›› Issue (12): 1654-1658.

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飞机货舱典型可燃物燃烧火灾特征参数试验研究

王海斌,王茂华,瞿 忱,郑永军   

  1. (1. 中国民用航空飞行学院 民航安全工程学院,四川 广汉 618300;2. 民机火灾科学与安全工程四川省重点实验室,四川 广汉 618300)
  • 出版日期:2022-12-15 发布日期:2022-12-16
  • 作者简介:作者简介:王海斌(1984- ),男,内蒙古赤峰人,中国民用航空飞行学院民航安全工程学院副教授,硕士生导师,主要从事机载灭火系统研究和锂电池消防理论技术,四川省广汉市雒城镇南昌路四段46号,618300。
  • 基金资助:
    四川省院校合作项目(2022YFSY0048);中国民用航空飞行学院大学生双创建设项目(S202010624136)

Experimental study on characteristic parametersof typical combustibles fire in aircraft cargo

Wang Haibin, Wang Maohua,Qu Chen, Zhen Yongjun   

  • Online:2022-12-15 Published:2022-12-16

摘要: 摘 要:光电式火灾烟雾探测器是目前民用飞机货舱使用的主流火灾探测器,是保障飞机安全运行的关键,该探测器是基于烟雾颗粒对光的散射信号来进行报警的,但是由于空气中悬浮颗粒物(水蒸气或灰尘等)也具有散射效应,同样会触发火灾探测器发生报警,这种原理上的缺陷造成的误报情况时有发生。通过对飞机货舱典型燃烧物瓦楞纸片、榉木和棉绳的蓝光散射功率(表征为表面积浓度)、红外光散射功率(表征为体积浓度)和颗粒物索特平均粒径火灾特征参数进行分析,为复合探测器的研发优化火灾特征参数。结果表明:在常压条件下,蓝光和红外光对颗粒物浓度的变化有很好的响应,索特平均粒径可以区分火灾烟雾颗粒和非火灾烟雾颗粒,可以有效降低误报率。

关键词: 关键词:光电式烟雾探测器, 火灾特征参数, 蓝光, 红外光, 散射功率, 索特平均粒径

Abstract: Photoelectric smoke fire detector is the mainstream used in the civil aircraft cargo, is the key to guarantee the safe operation of the aircraft. The detector is based on the smoke particles of light scattering signal for alarm, but because of suspended particles in the air (water vapor or dust, etc.) also has scattering effect, will trigger the fire detector alarm occurs. False alarms caused by such defects in principle occur from time to time. Taking the cargo plane typical combustion corrugated sheets, ju wood and the cotton rope as examples, blue light scattering power (representation for the surface area of concentration), infrared light scattering power (characterization for volume concentration) and particulate matter sauter mean diameter of fire characteristic parameters were analyzed, to optimize the fire characteristic parameters for the development of composite detectors. The results showed that: under atmospheric pressure, blue and infrared light have a good response to the change of particle concentration, and the sault average particle size can distinguish fire smoke particles from non-fire smoke particles, which can reduce the false alarm rate effectively.

Key words: photoelectric smoke detector, fire characteristic parameters, blue light, infrared light, scattering power, sauter mean diameter