C/S structure-based fabric defect detection information management system and method thereof

Abstract

The invention provides a C / S structure-based fabric defect detection information management system and a method thereof. The C / S structure-based fabric defect detection information management system comprises a data acquisition system, automatic cloth inspection machines and semi-automatic cloth repairing machines, and each of the automatic cloth inspection machines is connected with a plurality of the semi-automatic cloth repairing machines according to a C / S network structure. The automatic cloth inspection machines automatically detect defects, and preserve defect position information in a database, the cloth repairing machines automatically stop the defects in corresponding positions of cloth repairing benches according to the obtained defect position information, and indicate concrete positions by using indicating lamps, a worker repairs the cloth and evaluates the quality of the repaired cloth in detains, and a result is preserved in the database. The system and the method greatly improve the cloth quality assessment and management efficiency from automatic fabric defect detection to semi-automatic cloth defect repairing; and no marks are made on the cloth, so influences on the cloth are reduced, manpower is saved, and the labor intensity of people is reduced; and a one-to-many configuration mode maximally reduces the cost.

Description

technical field [0001] The invention relates to a cloth inspection and repair system in the textile industry, in particular to a fabric defect detection information management system and method based on a C / S structure. Background technique [0002] The traditional detection method is to rely on manual inspection of cloth. The cloth inspectors directly use naked eyes to judge whether there are defects on the fabric based on experience and score the defect marks; then hand it over to the cloth repairers for repair, and the cloth repairers fold the cloth according to the different color lines marked on the edge of the cloth for repair, and the whole process is automated. Low, relying on manpower detection speed is slow, the accuracy is low and unstable, and a lot of work is wasted in finding defects and turning over cloth during the cloth repairing process, which is time-consuming and labor-intensive. Contents of the invention [0003] The invention provides a fabric defect...

AI Technical Summary

Problems solved by technology

[0002] The traditional detection method is to rely on manual inspection of cloth

The cloth inspectors directly use naked eyes to judge whether there are defects on the fabric based on experience and score the defect marks; then hand it over to the cloth repairers for repair, and the cloth repairers fold the cloth according to the different color lines marked on the edge of the cloth for repair, and the whole process is automated. Low, relying on manpower detection speed is slow, the accuracy is low and unstable, and a lot of work is wasted in finding defects and turning over cloth during the cloth repairing process, which is time-consuming and laborious

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