Personnel control method and system based on machine learning

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a personnel management and control method and system based on machine learning, and the method comprises the steps: obtaining productivity expected values of a production line in different preset time periods, obtaining a productivity sequence, inputting the productivity sequence into a line speed prediction network, and predicting the real-time line speed of the production line in the next time period; the line speed of the production line is adjusted to the real-time line speed, the real-time personal heart rate sequence and the historical heart rate sequence of each operator on the production line are collected, and the historical heart rate sequence comprises at least two normal heart rate sequences and at least two abnormal heart rate sequences; and calculating similar distances between the real-time personal heart rate sequence and the normal heart rate sequences and between the real-time personal heart rate sequence and the abnormal heart rate sequences, comparing and calculating the plurality of similar distances to judge whether the real-time personal heart rate sequence is in a normal operation state, and maintaining the real-time linear speed when the real-time personal heart rate sequence is in the normal operation state. According to the method, the verification time waste is avoided by utilizing machine learning, and the purpose of accurately predicting the line speed is effectively realized.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for personnel management and control based on machine learning. Background technique [0002] For factories, most of them use the production line in the form of production line, and the line speed of the production line determines the production capacity to a certain extent. Adjusting the line speed of the production line can make the production capacity increase with the increase of the line speed of the production line, but when the line speed of the production line reaches a certain value and then increase the line speed production capacity will not continue to increase, when the line speed exceeds a certain value, the production capacity On the contrary, it will decrease with the increase of line speed. This is because, at the initial stage of adjusting the line speed increase, the workload of the operators on the production line has not r...

AI Technical Summary

Problems solved by technology

[0005] Using the above method to control the line speed of the production line is highly dependent on the work experience of the controller who controls the line speed, and the subjectivity is strong. The process of verifying the efficiency of multiple speed adjustments wastes a lot of time. This method can improve production efficiency. , improve production capacity, but due to the waste of verification time and the inaccuracy of subjective judgments, this method cannot achieve the purpose of efficient production

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