摘要
提出用CO作为早期火灾探测的观察对象,利用红外光谱法进行气体探测,并在此基础上建立了基于FTIR的试验系统.通过该方法成功获得CO的浓度值.并用时间序列分析方法建立二阶自回归模型,提取出特征参数进行分析,能在较短时间内将真假火灾区分开来.
It was proposed that CO could be chosed as a target gas to detect early fires. A specific experiment system was set up based on FTIR technology. By using time series analysis, an auto-regressive models for the concentration of CO can be built. Finally, characteristic parameters of models can distinguish the real fire source from nuisance sources in short times.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第5期382-385,共4页
Journal of Infrared and Millimeter Waves
基金
福建省自然科学基金项目(D020015)
关键词
红外光谱
吸收谱
时间序列分析
模型
infrared spectrum
absorption spectrum
time series analysis
model
