An Image-based Liquor Recognition Method Applicable to Multiple Electronic Nose Platforms

Abstract

The invention relates to an image-based liquor identification method applicable to a multi-electronic nose platform, comprising: obtaining raw liquor sample data collected by different sensors, and performing normalization processing; converting sensor response values ​​into angle cosine sum matrices through an arccosine function ; Obtain the half-width sine sum matrix H s and the half-width cosine sum matrix H c ; Calculate the Markov transition probability after binning the sensor response, and then calculate the Markov domain matrix M TF ; Construct the sensor image, use segmented aggregation to approximately determine the image size, and then combine the images of multiple sensors for each sample to obtain a combined image describing a single sample; establish a convolutional neural network model; train.

Description

technical field [0001] The invention relates to an imaged liquor recognition method applicable to a multi-electronic nose platform. Background technique [0002] The production and consumption of liquor plays an important role in the Chinese economy. With the development of the liquor market, the identification of liquor quality has attracted social attention. The commonly used liquor identification methods are divided into sensory evaluation, component analysis and electronic nose detection. Sensory evaluation is easily disturbed by external factors, while component analysis needs to rely on large precision instruments, which cannot be completed in real time. Compared with other analysis methods, the fast and low-cost characteristics of electronic nose make it widely used in the field of liquor identification. [0003] Electronic nose technology, also known as artificial olfactory technology, is a method of odor detection, analysis and identification by imitating the str...

AI Technical Summary

Problems solved by technology

When designing an electronic nose, it is necessary to try a combination of various methods for specific applications to optimize the data processing of the electronic nose in order to achieve good results, which limits the versatility of the electronic nose data processing method

[0010] (2) The process of the traditional data processing method is cumbersome and has many steps. Once the sensor array changes, the corresponding data processing method will change, and it will take more time to re-determine the appropriate method.

[0011] (3) In addition, the existing electronic nose data processing methods can only be used on a single platform, and cannot process data from multiple platforms at the same time, and cannot make good use of the advantages of different electronic noses, hindering the popularization and application of electronic nose technology

Images