Quality online monitoring method based on dye cloth printing and dyeing process

Abstract

The invention relates to a quality online monitoring method based on a dye cloth printing and dyeing process. The method comprises the following steps of connecting an upper cloth machine, a printingand dyeing system, an automatic sampling system and a quality inspection system on a dye cloth printing and dyeing production line; carrying out automatic sample collection on the current batch of dyecloth in the printing and dyeing system by the automatic sampling system, and sending to the quality inspection system to obtain a required quality parameter Xnew, and then, transmitting the qualityparameter Xnew to a dye cloth printing and dyeing quality online monitoring model F; according to F:x to y, outputting a printing and dyeing quality value y; transmitting dye cloth quality ynew to thequality inspection system, and comparing the dye cloth quality ynew with the preset dye cloth quality value Y in the quality inspection system, which is convenient for the subsequent batch of dye cloth printing and dyeing production line to carry out corresponding adjustment; and detecting whether the dye cloth printing and dyeing production line has a new production task, if there is the new production task, re-executing a step S2, and if there is no new production task, finishing processes. Real-time and accurate monitoring can be realized, a monitoring result is accurate, and cost is low.

Description

technical field [0001] The invention relates to the field of real-time quality monitoring methods for dyeing cloth printing and dyeing, in particular to an online quality monitoring method based on the dyeing cloth printing and dyeing process. Background technique [0002] In the process of fabric printing and dyeing, due to fabric wrinkles, operation errors, dye errors and machine failures, etc., often cause fabric dyeing patterns to be disordered during the printing and dyeing process, resulting in failure of fabric printing and dyeing. At present, the quality of dyed cloth is mainly monitored by workers' naked eyes. This kind of artificial observation to monitor the cloth printing and dyeing process has great disadvantages, and there are certain subjective factors in the process of relying on the naked eye monitoring, resulting in different batches of dyed cloth. The quality is uneven, and long-term observation at the same time will cause fatigue of workers and reduce obs...

AI Technical Summary

Problems solved by technology

[0002] In the process of fabric printing and dyeing, due to fabric wrinkles, operating errors, dye errors and machine failures, etc., often cause fabric dyeing patterns to be disordered during the printing and dyeing process, resulting in failure of fabric printing and dyeing

At present, the quality of dyed cloth is mainly monitored by workers' naked eyes. This kind of artificial observation to monitor the cloth printing and dyeing process has great disadvantages, and there are certain subjective factors in the process of relying on the naked eye monitoring, resulting in different batches of dyed cloth. The quality is uneven, and long-term observation at the same time will cause fatigue of workers and reduce observation efficiency

[0003] The traditional printing and dyeing process of cloth dyeing is an intermittent industrial production process, that is, it takes a long time to know whether the printing and dyeing quality meets the requirements after the cloth printing and dyeing is completed, and it is easy to cause waste of cloth. Quality plays a vital role, and real-time and accurate monitoring of the dyeing process is an effective means to ensure the quality of printing and dyeing

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