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普通光声气体探测模型因其实时性能差及波段要求高而不适用于火灾报警系统。本文介绍一种基于光声原理的CO在线测量的火灾报警模型。光声腔中采用纯CO气体代替气体采样,通过红外光源与光声腔之间的吸收路径测量火灾气体。一旦火灾气体经过该路径,将在不同吸收线上导致到达光声腔辐射量的减小。因此,只有与光声腔中气体一致的成分才能减弱初始光声信号,而信号变化代表了CO的存在。
Ordinary photoacoustic gas detection model because of its poor real-time performance and band requirements are not suitable for fire alarm system. This paper presents a fire alarm model based on the photoacoustic principle of CO on-line measurement. The photoacoustic cavity uses pure CO gas instead of gas sampling, and the fire gas is measured through the absorption path between the infrared light source and the photoacoustic cavity. Once the fire gas has passed through this path, it will result in a decrease in the amount of radiation reaching the photoacoustic cavity at different absorption lines. Therefore, only the components consistent with the gases in the photoacoustic cavity attenuate the initial photoacoustic signal, which represents the presence of CO.