Liquor vintage identification method

Abstract

The invention provides a liquor vintage identification method, which comprises the following steps: S1) measuring characteristic trace element contents of liquors with different brands and different storage times, and building a database; S2) taking the trace element contents in the database as characteristic values of training samples, training a vintage identification classifier through methods of machine learning and pattern recognition; S3) measuring the related trace element contents of the liquors to be measured, and building characteristic value vectors; and S4) substituting the characteristic value vectors obtained in the S3, which are subjected to dimension reduction, into the vintage identification classifier in the S2 for calculation, so as to ensure the vintage of the liquors to be measured. According to the invention, the method not only can guarantee scientificity and strictness, but also can improve the precision of the identification results and reduce the sample manufacturing complexity.

Description

technical field [0001] The invention belongs to a method for detecting alcohol, in particular to a method for identifying the age of liquor. Background technique [0002] The age of wine is an important indicator to distinguish the grade of wine. Foreign countries have long used storage years to distinguish wine, whiskey, gin, brandy and other wines. The standards for this kind of classification are relatively mature. All countries in the United Kingdom and the United States have relevant laws on the classification of wine years, which strictly regulate the production and storage of wine. For example: In 1988, the United Kingdom promulgated the Whiskey Act stating that Scotch whiskey must be brewed by a local distillery in Scotland, and the whole process should comply with relevant regulations and the original wine must be placed in rubber barrels within 700 liters, stored for at least 3 years, matured During the process, except for water, spirits and caramel, no other subs...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of the existing identification methods of alcoholic age, such as the large influence of human factors, the identification result is not strict; or the identification method is unscientific, the identification result is inaccurate; A method that can accurately identify the age of liquor is provided. This method uses the law of the change of various characteristic elements in liquor over time, combines machine learning and pattern recognition theory to train a classifier for liquor age, and then uses the classifier to classify the characteristic elements in liquor. Quantitative analysis, classification, and identification of the storage period of liquor. Due to the use of machine learning and pattern recognition technology, it not only ensures the scientificity and rigor of the method, but also improves the accuracy of identification results and reduces the complexity of sample production.

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