Electronic nose gas sensor array optimization method based on dynamic characteristic importance

A gas sensor and dynamic feature technology, applied in the direction of material electrochemical variables, material resistance, etc., can solve the problem of lack of attention to feature redundancy and achieve strong interpretability

Pending Publication Date: 2019-05-24
SHANDONG INST OF BUSINESS & TECH
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Problems solved by technology

However, most of these methods focus on the contribution of features to

Method used

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  • Electronic nose gas sensor array optimization method based on dynamic characteristic importance
  • Electronic nose gas sensor array optimization method based on dynamic characteristic importance
  • Electronic nose gas sensor array optimization method based on dynamic characteristic importance

Examples

Experimental program
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Effect test

Embodiment 1

[0078] CO in the air 2 and SO 2 The classification and identification of its mixed gas, the specific steps are as follows:

[0079] Step 1, collecting the information of the target gas in the environment through the electronic nose test system;

[0080] Heat the gas sensor at room temperature and in a laboratory environment for one week; test the response of different types of gas sensors to different types and concentrations of target gas components at room temperature and in a dry air environment. In this example, the initial sensor array contains 7 sensors, which are TGS2600, TGS2610, TGS2611, TGS2603, TGS2602, TGS2620 metal oxide gas sensors from Figaro and 4SO2-2000 electrochemical sensors from Honeywell. The model and parameter details of each sensor are shown in Table 1

[0081]

[0082] Table 1

[0083] According to the actual needs and the needs of data analysis, 4 or 8 concentration points are tested for each gas, among which CO 2 Gas test 4 concentration poi...

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Abstract

The invention relates to an electronic nose gas sensor array optimization method based on dynamic characteristic importance and belongs to the technical field of sensor array optimization. The methodincludes the steps of firstly, acquiring information of gas in a target environment through an electronic nose; secondly, screening out gas sensors having no response to gas in the target environmentby variance; thirdly, extracting characteristic parameter of each sensor of the gas sensor array obtained after primary screening; fourthly, sequencing the sensors of the current sensor array according to the dynamic characteristic importance, selecting the most important sensors and allowing the same to join in an optimized array, and judging whether the current optimized array meet requirementsor not. The method has the advantages of solving the problem of low efficiency, caused by the fact of designing the sensor array according to experiences or optimizing the arrays according to simple correlation, of the existing electronic nose system, and being simple and rapid and easy to implement, having high universality and high interpretability.

Description

technical field [0001] The invention relates to an electronic nose gas sensor array optimization method based on dynamic feature importance, which belongs to the technical field of sensor array optimization. Background technique [0002] Gas sensors have been widely used in the food industry, environmental monitoring, military security and other fields. However, due to their cross-sensitivity, a single gas sensor is often unable to meet complex requirements. The electronic nose consists of a sensor array composed of multiple gas sensors, and The analysis and identification of odor / gas by pattern recognition technology effectively improves the problems of poor selectivity and cross-sensitivity of gas sensors. However, the redundant information contained in the high-dimensional data generated by the gas sensor array also increases the burden of subsequent data processing. difficulty. The optimization of the gas sensor array can minimize the scale of the sensor array, reduce t...

Claims

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Application Information

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IPC IPC(8): G01N27/12G01N27/26
Inventor 魏广芬赵捷李刚何爱香冯烟利
Owner SHANDONG INST OF BUSINESS & TECH
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