Efficient multi-stage sundry removal and leaf selection machine

Abstract

The invention provides an efficient multi-stage sundry removal and leaf selection machine, which comprises an air delivery pipeline, an image recognition detector, a blower and collection bins, wherein the image recognition detector, the blower and the collection bins are arranged on the air delivery pipeline. The machine is characterized in that at least two collection bins are arranged; each collection bin comprises a shell body with an empty cavity; at least one feeding port is formed in the shell body; each feeding port is communicated with sundry and secondary smoke outlets on the air delivery pipeline; adjusting air ports connected with adjusting fans are formed in the shell body; and the sundry and secondary smoke outlets with valves are formed in the bottom of the shell body. The automatic removal of sundries mixed in tobacco leaves and the automatic classified collection of tobacco leaves with large color difference from the set standard are realized, so that the qualified rate and purity of tobacco leaves reach the technological requirements, the image recognition and blowing removal effects are improved, and the tobacco leaves meeting the grade requirements are preventedfrom being mistakenly removed.

Description

technical field [0001] The invention relates to the technical field of tobacco processing equipment, in particular to a leaf-removing and leaf-selecting device used in an online photoelectric automatic leaf-selecting and impurity-removing process during leaf threshing and redrying production. Background technique [0002] In the process of tobacco processing, especially before threshing and redrying, it is necessary to classify and remove impurities from the tobacco leaves. At present, manual sorting and sorting of leaves is commonly used by threshing and redrying enterprises. Manual sorting and sorting of leaves not only has uneven level of leaf selection, but also has low sorting efficiency, unstable sorting quality, large floor area, and staff Being in a poor working environment for a long time, the labor intensity is high, and the cost of leaf selection is high. Tobacco leaf processing production enterprise that has adopts photoelectric color discrimination automatic le...

AI Technical Summary

Problems solved by technology

In the existing air-conveyed photoelectric color recognition automatic leaf selection and impurity removal machine, due to the fast moving speed of the air-delivered materials through the pipeline, and the distribution in the pipeline is disorderly, it affects the image recognition and compressed air jet removal effect, and even There will be a phenomenon that the tobacco leaves that meet the grade are mistakenly rejected

As a result, the image recognition and compressed air injection removal efficiency of the existing photoelectric color recognition automatic leaf selection and removal machine is low, and it is difficult to completely remove impurities at one time, making it difficult for the pass rate and purity of tobacco leaves to meet the process requirements

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