一氧化碳
火灾探测
环境科学
二氧化碳
材料科学
二氧化碳传感器
红外线的
无线传感器网络
实时计算
计算机科学
模拟
分析化学(期刊)
生物系统
化学
工程类
物理
色谱法
光学
建筑工程
有机化学
催化作用
生物
生物化学
计算机网络
作者
Yafei Li,Ling Yu,Chuantao Zheng,Zhuo Ma,Shuo Yang,Fang Song,Kaiyuan Zheng,Weilin Ye,Yu Zhang,Yiding Wang,Frank K. Tittel
标识
DOI:10.1016/j.saa.2021.120834
摘要
In order to realize early fire detection and location, a mid-infrared carbon monoxide (CO) and carbon dioxide (CO2) dual-gas sensor system was developed, which mainly includes a gas pretreatment module, a CO2 sensor module, a CO sensor module, and a laptop monitoring platform. CO2 and CO absorption lines located at 4.26 μm and 4.66 μm, respectively, were selected to ensure good selectivity of the sensor system. A series of experiments were carried out to evaluate the sensor performance. The 10-90% response time of the CO and CO2 sensor modules was measured to be ∼ 30 s at a flow rate of 1 L/min, and the limits of detection (LoD) of CO2 and CO were assessed to be 5.66 parts per million by volume (ppmv) and 0.94 ppmv, respectively, when the averaging time was 0.25 s. According to the correlation between CO2 and CO concentration in the early fire stage, a method of early fire detection was studied and proposed using the normalized concentration ratio between CO and CO2 (C(CO)/C(CO2)) as the key alarm parameter. Based on gas turbulent diffusion (GTD) model combined with particle swarm optimization (PSO) algorithm, a mobile early fire location method was presented. Correlative experiment results verified that the reported sensor system has a good performance for early fire detection and location.
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