SnO_(2)气体传感器对挥发性有机物的温度调制及信号处理方法研究  

Research on SnO gas sensor′s temperature modulation and signal processing method for volatile organic compounds

作　　者：孟凡利 祝学斌 张华[1] 高宏亮[1] Meng Fanli;Zhu Xuebin;Zhang Hua;Gao Hongliang(School of Information Science and Engineering,Norheastern Universiy,Shenyang 110819,China)

机构地区：[1]东北大学信息科学与工程学院,沈阳110819

出　　处：《仪器仪表学报》2020年第12期85-94,共10页Chinese Journal of Scientific Instrument

基　　金：国家重点研发计划(2019YFB2006001);国家自然科学基金(62033002,62071112);辽宁省兴辽英才计划(XLYC1807198)项目资助。

摘　　要：周期性改变传感器加热温度的温度调制方法在气体传感器信号的选择和识别方面有着重要的地位,通常用来解决SnO_(2)气体传感器选择性差等问题。为了能够高效地提取SnO_(2)传感器在测量多种挥发性有机化合物(VOCs)时的温度调制特性,首先从静态测试出发,分析了SnO_(2)传感器在100℃~350℃温度范围内对不同VOCs气体的响应灵敏度和长时间使用的稳定性。之后采用矩形波作为周期加热电压进行温度调制,获得了在不同VOCs气体,不同浓度下的动态响应数据。最后,采用变分模式分解-希尔伯特变换作为特征提取方法,采用支持向量机作为分类识别方法,对VOCs气体的种类和浓度进行识别,识别准确率高达99.583 3%。The temperature modulation method that periodically changes the heating temperature of the sensor has an important position in the selection and recognition of gas sensor signals. It is usually used to solve the poor selectivity problem of SnO_(2) gas sensors. To efficiently utilize SnO_(2) sensors for measuring the temperature modulation characteristics of a variety of volatile organic compounds(VOCs) gases, this study firstly starts from the static test. The response sensitivity of the SnO_(2) sensor is analyzed, which corresponds to different VOCs gases in the temperature range of 100℃~350℃ and the long-term use stability. Then, the rectangular wave is used as the periodic heating voltage for temperature modulation. And dynamic response data of different VOCs gases and different concentrations are obtained. Finally, the variational mode decomposition-Hilbert transform is used as the feature extraction method. The support vector machine is utilized as the classification and recognition method to identify the types and concentrations of VOCs. The recognition accuracy rate can reach 99.583 3%.

关 键 词：气体传感器 温度调制 变分模式分解 模式识别 

分 类 号：TP212.2[自动化与计算机技术—检测技术与自动化装置] TH89[自动化与计算机技术—控制科学与工程]