High-speed airflow dispersion-based stem content and threshing parameter detection and removing method

Abstract

The invention discloses a high-speed airflow dispersion-based stem content and threshing parameter detection and removing method, which includes the following steps: a belt conveyer is utilized to spread and convey tobacco leaves into a high-speed air duct; high-speed airflow is utilized to further uniformly disperse the tobacco leaves in the high-speed air duct, and at the same time, the tobacco leaves are sent into a detection area along with the airflow; a high-definition tobacco leave perspective is acquired in the detection area; the textural features of the tobacco leaves are extracted from the perspective, an algorithm is utilized to identify the laminae and the stems in the tobacco leaves, and the tobacco leaves containing the stems are removed; the shapes and sizes of the tobacco leaves are analyzed, so that tobacco leaf areas are obtained, and threshing parameters are calculated. By analyzing the acquired tobacco leave perspective image, the textural features are extracted, a binary tree is adopted to accurately distinguish the stems from the laminae, consequently, the invention solves the current complex problems of redrying factories, such as off-line stem content detection and long detection period, and thereby the product quality and efficiency of redrying factories can be remarkably increased.

Description

technical field [0001] The invention belongs to the technical field of identification and detection of stalks in tobacco leaves, and in particular relates to a method for detecting and removing stalks in leaves and threshing parameters based on high-speed airflow dispersion. Background technique [0002] Leaf stalk content rate is a very important index in the process of threshing and redrying. The high rate of leaf stalk content (tobacco stem diameter > 1.5mm) will reduce the quality of leaves, and because the tobacco stalks still contain Higher water content leads to moldy or festered leaves inside the smoke box during leaf storage and aging, and it is difficult for rebaking factories to completely separate leaf stalks during threshing and rebaking, so the secondary detection and removal is particularly important. Importantly, it is necessary to remove the tobacco stems with a diameter greater than 1.5 mm in the blade to improve the quality of the blade product. For a ...

AI Technical Summary

Problems solved by technology

Although this scheme uses more advanced detection methods, it is not suitable for the removal of tobacco stems due to its structural limitations.

The Chinese utility model patent with the application number 201220269009.9 discloses an intelligent tobacco stem removal device, which only relies on the initial threshold to identify the tobacco leaves. A method for spreading tobacco leaves evenly

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