基于声弛豫吸收谱分解特征的气体传感理论  

Gas sensing method based on decomposition features of acoustic relaxation absorption spectrum

作　　者：刘婷婷 张向群 朱明[1] LIU Tingting;ZHANG Xiangqun;ZHU Ming(School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China;School of Physics and Mechanical and Electrical Engineering,Hubei University of Education,Wuhan 430205,Hubei,China;School of Information Engineering,Xuchang University,Xuchang 461000,Henan,China)

机构地区：[1]华中科技大学电子信息与通信学院,湖北武汉430074 [2]湖北第二师范学院物理与机电工程学院,湖北武汉430205 [3]许昌学院信息工程学院,河南许昌461000

出　　处：《陕西师范大学学报（自然科学版）》2022年第6期30-38,共9页Journal of Shaanxi Normal University：Natural Science Edition

基　　金：国家自然科学基金(61901164,62071189);国家公派留学基金(202008420045);贵州省科学技术基金(黔科合基础-ZK[2021]一般318)。

摘　　要：为实现复杂混合气体的超声检测,提出一种基于声弛豫吸收谱分解特征的气体传感理论。该理论将混合气体声弛豫吸收谱分解为气体成分贡献的单独声谱,获得其分解声谱的峰值幅度与气体成分的依赖关系,并利用分解声谱峰值幅度随外界温度变化值作为识别参数。结果表明:利用分解声谱峰值幅度可实现多元混合气体的成分识别;引入温度参数后,可实现每种气体成分的浓度检测。In order to detect the complex gas mixtures, the gas sensing method based on the decomposition features of acoustic relaxation absorption spectra is proposed.By decomposing the mixture’s acoustic spectra into the individual spectra contributed by the corresponding gas compositions, the dependence of the decomposition spectral peak amplitudes on the gas compositions can be extracted, and the relative change ratio as temperature changes of the peak amplitudes is introduced as identification parameter for qualitative and quantitative gas detections.The method employs the decomposition spectral peak amplitudes as the relaxation features and achieves feature identification of multiple component gas mixtures, providing a new route for the simple, robust, effective and real-time acoustic gas sensing method.

关 键 词：超声波 气体传感 弛豫吸收 声谱 分解特征 

分 类 号：O426.9[理学—声学]