摘要
空气中细小颗粒易与可燃物燃烧产生的烟气颗粒融合而造成火警误报现象。设计并搭建受限空间典型液体可燃物燃烧实验平台,选用正庚烷、环己烷以及航空煤油进行燃烧实验,对3种典型液体可燃物燃烧产物的烟气颗粒质量浓度和烟气成分体积分数等特征参数进行测量并分析其变化规律。结果表明:3种典型液体可燃物燃烧实验环境中,O_(2)浓度降低而CO_(2)与CO浓度增加,且PM10(空气动力学当量直径≤10μm的颗粒)最高质量浓度大于空气中的,以此可判断是否存在燃烧现象;根据颗粒分布特征参数以及烟气颗粒占比可判断燃烧物的种类。可见,利用可燃物燃烧烟气颗粒质量浓度以及烟气成分体积分数可判断是否发生火灾以及可燃物种类,为研发新型火灾预警系统提供一定的理论支撑。
Fine particles in the air are easy to be mixed with the smoke particles,which will cause false alarms in fire detection.An experimental platform for the typical liquid fuel burning in a confined space was designed and established.The typical liquids of n-heptane,cyclohexane,and aviation kerosene were selected as fuels for the tests.Parameters,such as the mass concentration of flue gas particles and volume fraction of flue gas components were measured and analyzed.Results showed that the concentration of O_(2) decreased while the concentration of CO_(2) and CO increased,and the highest mass concentration of PM10(aerodynamic equivalent diameter not more than 10μm)was greater than that in the air,which could be used to judge whether there was a combustion phenomenon.The particle distribution characteristic ratios and proportion of smoke particles could be used to determine the type of combustion materials.It can be seen that the mass concentration of flue gas particles and volume fraction of flue gas components can be used to determine whether a fire occurred and the type of the fuels,which will provide a theoretical reference for developing a new fire alarm technology.
作者
刘全义
胡林
邓力
朱博
孙向东
梁光华
LIU Quanyi;HU Lin;DENG Li;ZHU Bo;SUN Xiangdong;LIANG Guanghua(College of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan 618307, China;Hefei Institute for Public Safety Research, Tsinghua University, Hefei 230601, China)
出处
《南京工业大学学报（自然科学版）》
CAS
北大核心
2021年第2期226-231,共6页
Journal of Nanjing Tech University(Natural Science Edition)
基金
国家自然科学基金(U2033206,U1933105)
中国民用航空飞行学院基金(J2018-36,X2020-21)
中国民用航空飞行学院大学生双创建设项目(S201910624236)。
关键词
受限空间
烟气浓度
烟气成分
颗粒分布特征
火灾预警
confined space
mass concentration of gas
gas components
particle distribution characteristics
fire alarm
