Method and system for comprehensively monitoring and tracing ring spinning yarn quality

Abstract

The invention discloses a method and system for comprehensively monitoring and tracing the ring spinning yarn quality. Before doffing, the information, including the machine number, the ingot number,parameters of adopted rough yarn, the variety of spun yarn, the production date of the spun yarn, spinning temperature and humidity, draft multiple distribution and draft pressurizing parameters, of aspinning machine are written to a radio frequency identification tag of a corresponding spun yarn tube through a radio frequency identification reader-writer; when bobbin yarn enters a doffing station, the radio frequency identification reader-writer reads the information in radio frequency identification tags of all spun yarn tubes, then makes the information matched with the quality characteristic indexes including evenness, slugs, snicks, neps and hairiness, detected by an electronic yarn clearer on a yarn channel, of the bobbin yarn corresponding to the spun yarn tubes one by one, and reports the information to an upper computer, and finally, the analysis and tracing of the yarn forming quality of all spindles are achieved through a data analysis system of the upper computer. By meansof the method, the spinning quality levels of all spinning machines are improved, poor spindles in all the spindles are pointed out, and the quality monitoring of all the spindles is achieved.

Description

technical field [0001] The invention relates to the field of yarn textiles, in particular to a method and system for tracking and tracking the quality of ring spinning yarns. Background technique [0002] Ring spinning is to gradually elongate and thin the fiber bundles through the drafting system, and form yarns for weaving after twisting. Yarn quality includes linear density uniformity (evenness), thick places, details, Neps, hairiness and other indicators, the consistency of yarn quality will have a great impact on the cloth surface. The control of yarn quality is generally to take random sampling, test the samples in the laboratory, and use the statistical value of the sample quality to represent the quality of the whole batch of yarn. This will inevitably lead to distortion, which will lead to some unqualified yarns. Into the sales batch, resulting in poor cloth surface downstream. With the emergence of electronic yarn clearers, spinning mills have been able to use el...

AI Technical Summary

Problems solved by technology

The control of yarn quality is generally to take random sampling, test the samples in the laboratory, and use the statistical value of the sample quality to represent the quality of the whole batch of yarn. This will inevitably lead to distortion, which will lead to some unqualified yarns. Into the sales batch, resulting in poor cloth surface downstream

With the emergence of electronic yarn clearers, spinning mills have been able to use electronic yarn clearers to realize online monitoring in the automatic winding process, detect long thick places, long details, and fragments with uneven quality in the yarn, and detect them The final yarn quality stability has been greatly improved, but the electronic yarn clearer cannot perform statistical analysis on the quality of all yarns by type, machine, and spindle number, let alone point out whether the inferior yarn is Which spindle on the spinning frame is very limited in helping to prevent quality problems and improve the spinning quality level, and basically belongs to the mode of post-event quality control

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