Tobacco grade automatic identification and sorting method

Abstract

The invention discloses a tobacco grade automatic identification and sorting method. The method comprises that tobacco to be processed enters tobacco bales to be shaken off, fine pieces are separated,spectral images are collected, the spectral images are preprocessed, spectral image features are extracted, and tobacco grade automatic identification is achieved through comprehensive judgment. Through combination of grade identification data transmission and an automatic logistics system, automatic sorting and classification of different types and grades of tobacco leaves are realized, and through the combination of manual discrimination and automatic identification comparison, the grade identification model is optimized, and the automatic identification accuracy is improved. Automatic identification and sorting of the tobacco leaf grades in the tobacco leaf selecting link are achieved, and intelligent equipment is used for replacing manual work, so that the labor cost is greatly reduced, the problem that manual sorting standards are inconsistent is thoroughly solved, and the tobacco leaf sorting quality is improved.

Description

technical field [0001] The invention relates to the technical field of raw tobacco selection technology in the tobacco industry, in particular to a method for automatic identification and sorting of tobacco leaf grades. Background technique [0002] With the upgrading and innovation of Chinese-style cigarette brands entering a new stage of development, cigarette brand development and product innovation put forward new higher and more difficult requirements for threshing and redrying. Industrial enterprises pay more and more attention to the selection of raw cigarettes. In order to satisfy customers Requirements, leaf threshing and redrying enterprises invest more and more manpower and material resources to ensure the quality of cleaning, but the current manual or man-machine combination selection method used for raw tobacco selection is labor-intensive work, requiring a large amount of labor, high labor costs, and production The efficiency is low, and due to the difference i...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for automatic identification and sorting of tobacco leaf grades, to greatly reduce the amount of labor, reduce labor costs, solve the problem that the quality consistency of tobacco leaf selection is difficult to guarantee, improve the automation level of tobacco leaf selection, and significantly improve the current status of the existing tobacco leaf selection process ,to satisfy the market's needs

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