A semi-automatic identification method of slub yarn process parameters based on slub yarn fabric

Abstract

The invention provides a semi-automatic identification method of slub yarn process parameters based on slub yarn fabric, which belongs to the technical field of new textile automation. Firstly, the image collection of the incoming fabric is carried out, and then the slubs on the same yarn of the fabric are placed on the same line as much as possible by image rotation, and then multiple fabric images are connected by image stitching, and then the coordinate positioning method is used to locate the slubs in the fabric. The bamboo joints are marked and connected and the coordinate position of the bamboo joints is automatically recorded. Finally, the coordinate position data is analyzed to realize the identification of the length of the bamboo joints, the distance between the bamboo joints and the period of the bamboo joints, so as to overcome the shortcomings of the existing manual detection methods and improve the quality of the fabric. The accuracy of medium slub yarn detection, while liberating productivity, is compatible with modern textile automation production.

Description

technical field [0001] The invention belongs to the technical field of novel textile automation, and relates to a semi-automatic identification method for process parameters of slub yarn fabrics. Background technique [0002] Slub yarn is a kind of fancy yarn. The fabric surface woven with slub yarn has a three-dimensional effect and is widely used in denim, high-end underwear and decorative products. The process parameters in the production of slub yarn mainly include slub length, slub spacing, slub multiplier and slub type, etc. These process parameters can be analyzed by Uster Tester 5. However, in actual production, the incoming samples of slub yarn fabrics are often in the form of fabrics, and it is impossible to directly use the evenness meter for parameter identification. At present, it can only rely on manual analysis. [0003] When manually analyzing the process parameters of slub yarn, first obtain the slub yarn based on the fabric, and then determine whether the ...

AI Technical Summary

Problems solved by technology

However, in actual production, the incoming samples of slub yarn fabrics are often in the form of fabrics, which cannot be directly identified by the evenness meter. Currently, it can only be carried out by manual analysis.

[0003] When manually analyzing the process parameters of slub yarn, first obtain the slub yarn based on the fabric, and then determine whether the fabric effect is consistent with the incoming sample through trial spinning and weaving. The whole analysis process is too cumbersome, inefficient, and there are measurement The disadvantages of low precision, time-consuming and labor-intensive

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