Low-concentration gas detection method based on double threshold stochastic resonance

A stochastic resonance and gas detection technology, applied in the direction of material resistance, can solve the problem of weak signal submersion

Active Publication Date: 2014-11-05
连云港欧亚气体有限公司
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Problems solved by technology

[0007] The purpose of the present invention is to overcome the defect that the weak signal is submerged in the noise background during the detection process, and the limitation of the evaluation index of the threshold stochastic resonance system, so a method of using a double threshold stochastic resonance system to extract the maximum cross-correlation coefficient as the evaluation index is proposed low-concentration gas detection method

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  • Low-concentration gas detection method based on double threshold stochastic resonance
  • Low-concentration gas detection method based on double threshold stochastic resonance
  • Low-concentration gas detection method based on double threshold stochastic resonance

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[0050] The technical solution of the present invention will be further described below with an example in conjunction with the accompanying drawings.

[0051] Such as figure 1 As shown, a low-concentration gas detection method based on double-threshold stochastic resonance includes the following steps:

[0052] Step 1: Use a digital multimeter and LabView software to record the sensor resistance.

[0053] Specifically: the sensor uses DEP to prepare the PEDOT / PSS-SWCNTs gas sensor, and the detection range of the sensor is 3ppb-1ppm. Such as figure 2 As shown, the prepared gas sensor is put into the air chamber 4, and the air chamber 4 is filled with polytetrafluoroethylene. During the experiment, high-purity nitrogen (>99.99%) in two cylinders was used as the carrier and ammonia as the target gas. Quality controller 1 (VICI, Adjustable span, Model202) is used to control the required concentration, flow meter 2 determines the flow rate of the mixed gas to be 0.2L / min, and ...

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Abstract

The invention discloses a low-concentration gas detection method based on double threshold stochastic resonance. The method includes the steps: measuring resistance values of a gas-sensitive sensor under different concentrations of reference gas; inputting the measured resistance values as signals, carrying out normalization processing on the signals, and then carrying out curve fitting to obtain a periodic function by Fourier series; carrying out discretization processing on the periodic function to obtain an input function; inputting the input function and added gaussian white noise into a double threshold stochastic resonance system, carrying out value assignment by using a double threshold detector, taking a value-assignment signal as an output signal, and calculating a cross-correlation coefficient of the double threshold stochastic resonance system; searching an optimal double threshold to make the cross-correlation coefficient maximal, and building a linear regression equation with the maximal cross-correlation coefficient and a corresponding gas concentration; and selecting to-be-measured low-concentration gas, acquiring a corresponding maximal cross-correlation coefficient of the to-be-measured low-concentration gas, introducing into the linear regression equation, and calculating out the concentration of the to-be-measured low-concentration gas.

Description

technical field [0001] The invention relates to a weak signal detection method under strong noise, in particular to a low-concentration gas detection method based on double-threshold stochastic resonance. Background technique [0002] With the continuous deepening of research on low-concentration gas detection, more and more detection methods have emerged. Ultrasonic technology, optical interference principle, infrared absorption spectrum principle, Sagnac effect of annular light path and cavity ring-down measurement can all be applied to the measurement of low concentration. However, due to insufficient sensitivity, these measurement techniques can only be carried out under laboratory conditions, and are time-consuming, laborious, and costly, making it difficult to popularize. [0003] Stochastic resonance theory provides a new idea for weak signal detection under strong noise background. The phenomenon of stochastic resonance has attracted much attention in some fields, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/04
Inventor 童基均张光磊林勤光亢艳芹
Owner 连云港欧亚气体有限公司
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