Intelligent quality management system and method for woven fabric

Abstract

The invention belongs to the technical field of textile processing, and particularly relates to an intelligent quality management system and method for a woven fabric. The intelligent quality management system comprises an on-machine monitoring device, an automatic re-inspection module and a quality data terminal module. A rack of the on-machine monitoring device is a plane supporting platform, ahorizontal rail is horizontally fixed above the rack and parallel to the supporting platform through a supporting rod; a camera is fixed on the horizontal rail; a light source is of an annular shape and fixed in front of a lens of a camera, and the brightness required for image shoot of the camera can be ensured; the lens of the camera is vertically downward and collects and shoots the to-be-tested fabric moving through the plane of the rack; the horizontal rail drives the camera to move left and right to achieve the identification of the lateral position of a weak spot of the to-be-tested fabric. The intelligent quality management system and method for the woven fabric achieve real-time monitoring of the fabric quality, and adopts a computer vision method to achieve the on-machine detection of the weak spot of the fabric, so that the textile production process omits a manual inspection process and overcomes the defects of the manual detection.

Description

technical field [0001] The invention belongs to the technical field of textile processing, and relates to an intelligent quality management system for woven fabrics and a method thereof. Background technique [0002] At present, the quality control of woven fabrics mainly relies on manual inspection, and the main work is the inspection of the weaving process and the inspection of the finished fabrics. The weaving inspection is to ensure the normal production through the inspection of the loom operator during the weaving process of the loom. During the inspection, the loom operator checks whether there are defects in the gray fabric on the machine, strictly controls the size of the gray fabric width, and reduces various production losses. This process requires The loom operator pays higher labor intensity, and because one loom operator takes care of multiple looms at the same time, it is easy to cause missed inspections. Finished cloth inspection generally adopts the method ...

AI Technical Summary

Problems solved by technology

Off-machine inspection has the advantages of batch inspection, easy realization of objective rating, and no influence of loom vibration or car blocking during on-machine inspection, but there are defects such as high cost per unit, high software and hardware requirements, and few applications.

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