A Pre-verification Method of Electronic Nose Sampling Data Based on Differential Characteristics of Response Curve

A technology of sampling data and electronic nose, which is applied in the direction of analyzing materials, material inspection products, analyzing gas mixtures, etc., can solve the problems of inability to verify the sampling data, and achieve the effect of accurate classifier, wide application range and strong practicability.

Active Publication Date: 2019-08-13
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0008] (1) The current electronic nose data preprocessing method only performs some filtering, smoothing and transformation processing on the sampled data, and cannot verify the sampled data as a whole
[0009] (2) At present, there is no effective method for real-time verification of the overall accuracy of electronic nose sampling data

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  • A Pre-verification Method of Electronic Nose Sampling Data Based on Differential Characteristics of Response Curve
  • A Pre-verification Method of Electronic Nose Sampling Data Based on Differential Characteristics of Response Curve
  • A Pre-verification Method of Electronic Nose Sampling Data Based on Differential Characteristics of Response Curve

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Embodiment Construction

[0029] The present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0030] The electronic nose structure that the present invention relates to is as figure 1 As shown, the electronic nose can not only directly detect gas samples, but also be used to detect liquid samples such as liquor. The electronic nose mainly includes three parts: evaporation and sampling device, sensor air chamber reaction device, and control and data acquisition preprocessing system.

[0031] The electronic nose device of the present invention includes an adjustable-speed air pump, a solenoid valve, an evaporation air chamber, a sensor air chamber, an AD acquisition chip and a main controller. The sampling method involved in the present invention takes the detection of liquor samples as an example, and the main workflow of the electronic nose is as follows: figure 1 As shown, firstly, the liquor sample in the evaporating gas chamber is fully evaporated ...

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Abstract

The invention relates to an electronic nose sampling data pre-verification method based on the differential characteristics of the response curve, which is suitable for adopting the bionic sampling method of the electronic nose with three cycles as a complete cycle, including: for the array collected by the bionic sampling method of the electronic nose The sampled data are preprocessed sequentially, let S t is the normalized relative conductance change rate; S t Find the differential; extract the maximum value of the differential curve of the three rising stages and the maximum value of the differential curve of the three falling stages of each sensor curve; respectively calculate the three average differentials and differential curves of each sensor differential curve in the time period above the coordinate axis The absolute value of the three average differentials in the time period below the coordinate axis; compare and judge the maximum value of the differential curve of each sensor obtained; compare and judge the average differential of each sensor obtained; when the differential extreme value and the average When the differentials all meet the differential characteristics of bionic breathing sampling, it is determined that the pre-verification of the sampling data of the sensor is accurate.

Description

technical field [0001] The invention belongs to the field of instruments and measurements, and in particular relates to a method for pre-checking sampling data of an electronic nose based on the differential characteristics of response curves. Background technique [0002] Electronic nose, also known as artificial olfactory system, is a modern bionic detection instrument, which can simulate the structure and function of the human and mammalian olfactory system, and realize the detection and recognition of simple or complex odors. Electronic nose usually includes three parts: gas sensor array, information preprocessing and pattern recognition. When an electronic nose detects a sample, the volatile odor needs to react with an array composed of multiple gas sensors to convert the chemical signal of the sample into an electrical signal, and then undergo a series of preprocessing processes such as signal conditioning and normalization to obtain the sample The corresponding compr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G01N33/14G01N33/00
CPCG01N33/0004G01N33/146G06F2218/02G06F18/24
Inventor 孟庆浩亓培锋曾明
Owner TIANJIN UNIV
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