基于Lamb波气体传感器的数据采集仪
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摘要
Lamb波气体传感器因其具有高灵敏度、低损耗、多模式特性,在气体传感领域中展示出十分广阔的工业应用前景。然而,迄今为止,Lamb波气体传感器尚处于实验室基础研究阶段,其测试是基于网络分析仪,需人工读取测试结果并计算,不能实现自动获取被测参数,这在很大程度上限制了传感器的实际应用。针对现有测试技术的不足,研制了一种针对Lamb波气体传感器的数据采集仪。利用直接数字频率合成技术和嵌入式技术获取传感器的幅频特性和相频特性,通过多峰值快速搜索算法提取各个模式的最大峰值信息,并对传感器进行了各个模式下的扫频测试实验和算法验证实验。实验结果表明,采集仪能准确获得传感器的频率特性数据,并能实现一定频率范围内多个峰值信息的获取。再结合气体测量的相关模型,可直接输出参数测量结果,实现气体参数的自动检测。
Lamb wave gas sensor has broad industrial application prospects in gas sensing due to its advantages of high sensitivity,low loss and multi-mode characteristic. However,Lamb wave gas sensor is now still in fundamental academic research period. Experiments concerning the sensor are implemented by network analyzers,which means that gas properties cannot be determined automatically but by manual operation. This limits the applications of Lamb wave gas sensor. In this paper,a specified data acquisition instrument designed for Lamb wave gas sensor was developed. The direct digital synthesizer technology and an embedded system were introduced to obtain the information of the amplitude-frequency and phase-frequency of Lamb wave gas sensor. Maximum peaks of all Lamb wave modes were determined by a multi-peak fast search algorithm.To verify the effectiveness of the data acquisition instrument,frequency sweep experiment and algorithm verification experiment were carried out under different modes. The experimental results show that the data acquisition instrument can accurately acquire the frequency characteristics of Lamb wave gas sensor and the information of multiple peaks in a certain frequency range. Then,combining with the models of Lamb wave gas sensing,it can directly output parameter measurement results,and achieve automatic detection of gas parameters.
Lamb wave gas sensor has broad industrial application prospects in gas sensing due to its advantages of high sensitivity,low loss and multi-mode characteristic. However,Lamb wave gas sensor is now still in fundamental academic research period. Experiments concerning the sensor are implemented by network analyzers,which means that gas properties cannot be determined automatically but by manual operation. This limits the applications of Lamb wave gas sensor. In this paper,a specified data acquisition instrument designed for Lamb wave gas sensor was developed. The direct digital synthesizer technology and an embedded system were introduced to obtain the information of the amplitude-frequency and phase-frequency of Lamb wave gas sensor. Maximum peaks of all Lamb wave modes were determined by a multi-peak fast search algorithm.To verify the effectiveness of the data acquisition instrument,frequency sweep experiment and algorithm verification experiment were carried out under different modes. The experimental results show that the data acquisition instrument can accurately acquire the frequency characteristics of Lamb wave gas sensor and the information of multiple peaks in a certain frequency range. Then,combining with the models of Lamb wave gas sensing,it can directly output parameter measurement results,and achieve automatic detection of gas parameters.
引文
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[2]周连群.利用微型Lamb波传感器研究薄膜-流体的相互作用[D].北京:中国科学院研究生院,2010:89.ZHOU L Q.Study of the membrane-fluid interaction in micro Lamb wave sensor[D].Beijing:Graduate University of Chinese Academy of Sciences,2010:89(in Chinese).
[3]林啸鸣.结合光传感技术的兰姆波检测系统在薄板损伤检测中的应用研究[D].南京:南京航空航天大学,2012:3.LIN X M.Research on damage detection of sheet using Lamb wave combined with optical sensing technology[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2012:3(in Chinese).
[4]唐志共,许晓斌,杨彦广,等.高超声速风洞气动力试验技术进展[J].航空学报,2015,36(1):86-97.TANG Z G,XU X B,YANG Y G,et al.Rasearch process on hypersonic wind tunnel aerodynamic testing techniques[J].Acta Aeronautica et Astronautica Sinica,2015,36(1):86-97(in Chinese).
[5]彭治雨,石义雷,龚红明,等.高超声速气动热预测技术及发展趋势[J].航空学报,2015,36(1):325-345.PENG Z Y,SHI Y L,GONG H M,et al.Hypersonic aeroheating prediction technique and its trend of development[J].Acta Aeronautica et Astronautica Sinica,2015,36(1):325-345(in Chinese).
[6]刘虹.网络分析仪频率合成技术的研究[D].成都:电子科技大学,2006:1-2.LIU H.Research on frequency synthesis technique of network analyzer[D].Chengdu:University of Electronic Science and Technology of China,2006:1-2(in Chinese).
[7]高泽溪,高成.直接数字频率合成器(DDS)及其性能分析[J].北京航空航天大学学报,1998,24(5):615-618.GAO Z X,GAO C.Direct digital synthesizer(DDS)and performance analysis[J].Journal of Beijing University of Aeronautics and Astronautics,1998,24(5):615-618(in Chinese).
[8]江进,李锋,黎海文,等.基于DDS声波生物传感器信号探测系统的研究[J].传感器技术与传感器,2009(5):13-15.JIANG J,LI F,LI H W,et al.Study of acoustic biosensor signal detection system based on DDS[J].Instrument Technique and Sensor,2009(5):13-15(in Chinese).
[9]夏前亮,陈智军,陈涛.基于扫频技术的乐甫波器件测试系统[J].测试技术学报,2012,26(3):185-190.XIA Q L,CHEN Z J,CHEN T,et al.Measurement system of love wave device based on frequency scanning technology[J].Journal of Test and Measurement Technology,2012,26(3):185-190(in Chinese).
[10]ZHOU L Q,MANCEAU J F,BASTIEN F.Influence of gases on Lamb waves propagations in resonator[J].Applied Physics Letters,2009,95(22):223505.
[11]ZHOU L Q,MANCEAU J F,BASTIEN F.Interaction between gas flow and a Lamb waves based microsensor[J].Sensors and Actuators A:Physical,2012,181:1-5.
[12]李高斌.基于ARM的频率特性分析仪的设计[D].武汉:武汉科技大学,2011:1-2.LI G B.The design of frequency response analyzer based on ARM[D].Wuhan:Wuhan University of Technology,2011:1-2(in Chinese).
[13]马文瑞.基于DSP的射频扫频仪设计[D].西安:西安电子科技大学,2011:1-2.MA W R.Design of radio frequency sweep instrument based on DSP[D].Xi’an:Xidian University,2011:1-2(in Chinese).
[14]ANALOG D I.AD9910 datasheet[EB/OL].[2016-12-01].http:∥www.analog.com/static/imported-files/datasheets/AD9910.pdf.
[15]ANALOG D I.AD8302:LF-2.7 GHz RF/IF gain and phase detector datasheet[EB/OL].[2016-12-01].http:∥www.analog.com/static/imported-files/datasheets/AD8302.pdf.
[16]胡毓达.优选法的对称试验最优性[J].自然杂志,2014,36(4):285-291.HU Y D.The optimality of symmetry trial on optimum seeking methods[J].Chinese Journal of Nature,2014,36(4):285-291(in Chinese).