|
|
Application of threshold stochastic resonance in low concentration gas detecting |
TONG Ji-jun1, ZHANG Guang-lei1, CAI Qiang2, JIAN Jin-ming3, GUO Xi-shan3 |
1. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2. Scientific Instrument Laboratory, Yangtze Delta Region Institute of Tsinghua University, Zhejiang, Jiaxing 314006, China; 3. Department of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
|
|
Abstract A low concentration gas detecting method based on threshold stochastic resonance (SR) was proposed. The raw data was pre-processed to satisfy the requirements of SR system and put into the “one level threshold detector”. Then the cross-correlation coefficient, which reflected the similarities between the input signal and the output signal, was used to evaluate the performance of SR system. Then the threshold parameters were optimized and the relationship between the maximum cross-correlation coefficient and gas mass concentration was analyzed. Experimental results show that threshold SR can be observed and the maximum cross-correlation coefficient increases with the increase of gas mass concentration. The maximum cross-correlation coefficient can be used to detect the gas mass concentration and the detectable limit can be μg/L level.
|
Published: 06 June 2018
|
|
阈值随机共振及其在低质量浓度气体检测中的应用
提出利用阈值随机共振系统检测低质量浓度气体的方法.对传感器检测信号进行预处理以满足随机共振系统的要求,输入单阈值检测器,采用反映系统输入输出信号之间相关性的互相关系数作为阈值随机共振的表征.对系统的阈值参数进行优化,对最大互相关系数和气体质量浓度的相关性进行回归分析.实验结果表明,在该类系统中,不但存在阈值随机共振,而且随着气体质量浓度的增加最大互相关系数增加,采用最大互相关系数可以进行气体质量浓度的检测,最低检测限可以达到μg/L级别.
|
|
[1] DUTTA R, DAS A, STOCKS N G. Stochastic resonance-based electronic nose: a novel way to classify bacteria [J]. Sensors and Actuators B, 2006, 115(1):17-27.
[2] BENZI R, SUTERA A, VULPIANI A. The mechanism of stochastic resonance [J]. Journal of Physics A: Mathematical and General, 1981, 14(11): 453-457.
[3] STOCKS N G. Suprathreshold stochastic resonance in multilevel threshold systems [J]. Physical Review Letters, 2000, 84(11): 2310-2314.
[4] MOSS F, WARD L M, SANNITA W G. Stochastic resonance and sensory information processing: a tutorial and review of application [J]. Clinical Neurophysiology, 2004, 115(2): 267-281.
[5] STOCKS N G. Suprathreshold stochastic resonance: an exact result for uniformly distributed signal and noise [J]. Physics Letters A, 2001, 279(5): 308-312.
[6] ROUSSEAU D, FRANCOIS C B. Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators [J]. Physics Letters A, 2004, 321(5/6): 280-290.
[7] COLLINS J J, CHOW C C, IMHOFF T T. Aperiodic stochastic resonance in excitable systems [J]. Physical Review E, 1995, 52(4): 3321-3324.
[8] GUO Y f, TAN J G. Suprathreshold stochastic resonance in multilevel threshold system driven by multiplicative and additive noises [J]. Communication in Nonlinear Science and Numerical Simulation, 2013, 18 (10): 2852-2858.
[9] BATTYAE W, ANEJAB V P, ROEL P A. Evaluation and improvement of ammonia emissions inventories [J]. Atmospheric Environment, 2003, 37(27): 3873-3883.
[10] PERRINO C, CATRAMBONE M, ALLEGRI I, et al. Gaseous ammonia in the urban area of Rome, Italy and its relations hip with traffic emissions [J]. Atmospheric Environment, 2002, 36(34): 5385-5394.
[11] STOCKS N G. Information transmission in parallel arrays of threshold elements: suprathreshold stochastic resonance [J]. Physical Review E, 2001, 63(4): 19.
[12] DAS A, STOCKS N G, HINES E L. Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance [J]. Communications in Nonlinear Science and Numerical Simulation, 2009, 14(1): 223-232.
[13] 吴莉莉,惠国华,郭淼,等. 基于随机共振的气敏传感器阵列信号的识别研究[J]. 传感技术学报, 2009, 22(5): 664-668.
WU Li-li, HUI Guo-hua, GUO Miao, et al. Study of the gas sensor array data classified based on stochastic resonance [J].Chinese Journal of Sensors and Actuators, 2009, 22(5): 664-668.
[14] JIAN J M, GUO X S, CAI Q, et al. Oxygen plasma functionalized Pedot/pss-swcnts thin film deposited by electrophoresis for gas sensing [C]∥ Solid-State Sensors, Actuators and Microsystems Conference. New York: IEEE, 2011, 16: 2710-2713.
[15] 简锦明, 蔡强, 郭希山, 等. 基于介电电泳组装技术的Pedot/pss-swcnts气体传感器的研究[J]. 真空电子技术, 2013(02): 14-18.
JIAN Jin-ming, CAI Qiang, GUO Xi-shan, et al. Pedot/pss-swcnts gas sensor based on dielectrophoretic assembly technology [J]. Vacuum Electronics, 2013(02): 14-18. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|