摘要
以火灾燃烧过程中产生的气体作为参数,可以大大提高火灾探测的早期性。测量气体浓度的方法有很多,可调谐半导体激光吸收光变更技术(tunable diode laser absorption spectroscopy,TD-LAS)由于其高选择性、高灵敏度和高分辨率的特点而越来越受到重视。描述了火灾特征气体CO和CO2的选取,设计了一套基于TDLAS原理的火灾探测系统,通过扣除背景噪声谱线以及对激光强度信号进行拟合,可以提高火灾探测的有效性。验证了系统对CO和CO2能够很好响应并且具有较好的线性关系,系统长时间运行稳定可靠,能够满足火灾探测的要求。
Taking gases generated from combustion process as parameters to detect fire can increase the efficiency of fire detection. Among lots of measuring methods for gas concentration, the importance of tunable diode laser absorption spectroscopy has attracted the attention of researcher increasingly due to its high selection and high sensitivity. A fire detection system was designed based on tunable diode laser absorption spectroscopy, and efficiency of the fire detection can be enhanced by taking out background noise of spectrum and fitting intensity of laser. The experiments show that the detection system can respond well to the CO and C02 and the responses have a good linear relation, which can meet a demand for fire detection.
出处
《自然灾害学报》
CSCD
北大核心
2011年第1期56-61,共6页
Journal of Natural Disasters
基金
安徽省自然科学基金项目(KJ2008B047)
安徽省青年教师资助项目(2008jq1184)