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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 the gas generated in the course of fire burning as a parameter can greatly improve the early detection of fire. There are many ways to measure gas concentration. Tunable diode laser absorption spectroscopy (TD-LAS) has drawn more and more attention because of its high selectivity, high sensitivity and high resolution. Describes the selection of CO and CO2, and designs a fire detection system based on TDLAS principle. By subtracting the background noise spectrum and fitting the laser intensity signal, the effectiveness of fire detection can be improved. It is verified that the system can respond well to CO and CO2 and has a good linear relationship. The system runs stably and reliably for a long time and can meet the requirement of fire detection.