Knowledge pushing method and device for production employees

Abstract

The invention discloses a knowledge pushing method and device for a production employee, and the method comprises the following steps: obtaining an employee identification ID number of the production employee, and querying at least one knowledge skill state of the production employee according to the employee identification ID number; according to the at least one knowledge and skill state of the production employee, determining whether the production employee has a knowledge and skill short board; if the production employee has a knowledge skill short board in the target knowledge skill aspect, distributing a training task in the target knowledge skill aspect to the production employee; through the knowledge state of the production employee, different training tasks are pushed to the production employee, and corresponding production knowledge is pushed to the production employee, so that the employee can learn advanced production knowledge, and the production quality management level and the learning consciousness of the production employee are ensured.

Description

technical field [0001] The invention relates to the field of general data processing, and in particular, to a knowledge push method and device for production employees. Background technique [0002] With the rise of artificial intelligence machine learning technology, in the process of factory application, there is a lack of a production task work order system that matches the whole process of machine learning, traces the quality effect of machine learning, and guides machine learning. The learning-related information is distributed to the production tasks and work orders so that the front-line operators can grasp the learning process parameter information in time. At the same time, when there is a quality problem in the learning batch, the abnormal data of the learning and training can also be identified through the feedback of the work order. , remove the relevant training data in the later learning process to improve the learning accuracy. At the same time, the machine l...

AI Technical Summary

Problems solved by technology

At the same time, the machine learning process is generally more complicated than ordinary mass production, and requires higher requirements for the skills of dispatch personnel. How to identify personnel with excellent operational skills and assign tasks also requires technical solutions.

[0003] The traditional knowledge and skills auxiliary management method of employees is to help employees produce through production operation instructions, but this method is a passive management mode, which is not intelligent enough and cannot adapt to the complex and changeable production environment

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