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火灾早期过程特征的红外光谱探测和诊断
引用本文:张晓华,张认成,龚雪,黄湘莹.火灾早期过程特征的红外光谱探测和诊断[J].红外与毫米波学报,2006,25(5):382-385.
作者姓名:张晓华  张认成  龚雪  黄湘莹
作者单位:华侨大学,机电学院,福建,泉州,362021
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.

关 键 词:红外光谱  吸收谱  时间序列分析  模型
文章编号:1001-9014(2006)05-0382-04
收稿时间:2005-11-12
修稿时间:2006-06-22

DETECTION AND ESTIMATION OF EARLY FIRES' PROCESS CHARACTER BY USING INFRARED SPECTRUM
ZHANG Xiao-Hu,ZHANG Ren-Cheng,GONG Xue,HUANG Xiang-Ying.DETECTION AND ESTIMATION OF EARLY FIRES'' PROCESS CHARACTER BY USING INFRARED SPECTRUM[J].Journal of Infrared and Millimeter Waves,2006,25(5):382-385.
Authors:ZHANG Xiao-Hu  ZHANG Ren-Cheng  GONG Xue  HUANG Xiang-Ying
Affiliation:Department Of Mechanical Engineering , HuaQiao University, QuanZhou 362021, China
Abstract: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.
Keywords:infrared spectrum  absorption spectrum  time series analysis  model
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