高精度电子鼻采样电路设计与检测系统开发  被引量:2

Design of High-precision Electronic Nose Sampling Circuit and Detection System Development

在线阅读下载全文

作  者:王乐[1] 李龙[1] 段秋阳 李华曜[1] 刘欢[1] WANG Le;LI Long;DUAN Qiuyang;LI Huayao;LIU Huan(School of Integrated Circuits,Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics,Optics Valley Laboratory,Wuhan 430074,China)

机构地区:[1]华中科技大学集成电路学院,武汉光电国家研究中心,湖北光谷实验室,湖北武汉430074

出  处:《仪表技术与传感器》2023年第9期58-63,126,共7页Instrument Technique and Sensor

基  金:国家自然科学基金项目(61904062);湖北省自然科学基金项目(2022CFA035)。

摘  要:电子鼻融合了气体传感器阵列、数据采集电路和模式识别算法,可实现对不同气体的识别与分类。在电子鼻的研发过程和实际应用中,气体传感器阵列的响应、数据采集的精度直接影响着对目标气体的识别准确率。文中以高精度、宽量程采样为目标,设计半导体气体传感器电阻信号的采样电路,结合自动化配气系统提高信号采样稳定性。进一步通过上位机软件设计,研制出可测试多种气体的电子鼻检测系统。对乙醇、甲苯和甲醛3种气体的测试研究表明:该系统能够稳定地实现传感器电阻值信号采样,阻值范围在10 kΩ~100 MΩ,采样误差低于0.31%。结合良好的气体分类效果,展现出电子鼻应用于多组分气体检测的潜力。The electronic nose integrates gas sensor array,data acquisition circuit,and pattern recognition algorithm to realize the recognition and classification of different gases.In the development process and practical application of the electronic nose,the response of gas sensor array and the accuracy of data acquisition directly affected the identification accuracy of target gas.In this paper,with high precision and wide range sampling as the goal,semiconductor gas sensor resistance signal sampling circuit was designed,combined with automatic valve system to improve the stability of signal sampling.Through the design of upper computer software,the electronic nose detection system which can test various gases was developed.The test results of ethanol,toluene and formaldehyde show that the system can stably realize the signal sampling of sensor resistance values in the range of 10 kΩto 100 MΩ,and the sampling error is less than 0.31%.Combined with good gas classification effect,it shows the potential of electronic nose for multi-component gas detection.

关 键 词:电子鼻 半导体气体传感器 电阻 采样电路 高精度 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象