Device and method for evaluating skills of personnel based on sewing machine data extraction technology

Abstract

The invention relates to a device for evaluating skills of the personnel based on a sewing machine data extraction technology, which comprises an action data acquisition module, an action data transmission module, a data storage processing module, a data analysis module and an evaluation result display module, wherein the action data acquisition module is used for automatically acquiring motion data of a pedal and a rotating wheel of a lockstitch sewing machine; the action data transmission module is used for transmitting the data acquired by the action data acquisition module to the data storage processing module; the data storage processing module is used for organizing and screening the acquired data; the data analysis module is used for automatically performing related calculation andevaluation according to the screened data; and the evaluation result display module is used for displaying evaluation for the operating skills of the personnel. The device can perform objective evaluation on the skill level of the operating personnel more scientifically. The invention further relates to a method for evaluating the skills of the personnel based on the sewing data extraction technology.

Description

technical field [0001] The invention relates to the technical field of clothing production management, in particular to a personnel skill evaluation device and method based on sewing machine data extraction technology. Background technique [0002] The skill level of personnel is the basis of process allocation, salary allocation and production allocation, as well as the basis of the entire production operation. It determines the arrangement of the assembly line and the control of the production plan, and is an important part of the research on garment production management. However, factors such as high turnover rate in garment factories and difficulty in recruiting skilled workers determine the instability of personnel's operational skills. The information is at your fingertips. [0003] Under the upsurge of Industry 4.0, Industrial Internet, Internet of Things and cloud computing, many excellent manufacturing companies around the world are actively exploring intelligent ...

AI Technical Summary

Problems solved by technology

Although this method has made great progress compared with the traditional empirical subjective evaluation method, and the overall evaluation process is more objective and comprehensive, it is essentially an evaluation based entirely on working hours, and the reference factors are relatively single, so the evaluation results may be one-sided

And because its evaluation is based on historical production data, the evaluation results will lag

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