Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

August 5, 2024


Pages


DOI

Article

Artificial Intelligence Manufacturing Execution System (MES) Unit Control in Automation Application Fusion Industry and Education Platform Design Innovation Exploration


Authors

Qiang Peng Affiliation:
Engineering College, Shanwei Institute of Technology, Shanwei, Guangdong, 516600, China.
, Hui Shi Affiliation:
Engineering College, Shanwei Institute of Technology, Shanwei, Guangdong, 516600, China.
and Wang Cong Affiliation:
Engineering College, Shanwei Institute of Technology, Shanwei, Guangdong, 516600, China.


Abstract

MES, as an important part of the automation application fusion production and education platform, influences the teaching of automation majors and plays an important role in students’ professional practice. The article designs and builds the automation application fusion industry-education platform based on MES unit control by developing the key technology of the platform, i.e., Kubernetes container cluster and functional modules, and then builds and researches the dynamic scheduling model of the N-MES system, and proposes the dynamic scheduling structure. The article finally applies the application of the automation application fusion production and education platform proposed in this paper to the specific learning effect test and productivity test and finds that after using the production and education platform proposed in this paper, the overall learning effect of the students has been improved, with 65% of the students believing that they have basically mastered the knowledge points of the section, and the average score of the pre-test score of the experimental class has risen from 86.88 points to 94.58 points. In the specific application of students’ practical training operation, the overall production of Product A was improved, the production beat of the line body was reduced to 248 seconds per piece, and the overall pass rate increased to 90.32%.


Keywords

MES, Kubernetes container cluster, Industry-teaching integration platform, Automation, 68M10


Citation

Peng, Q., Shi, H., & Cong, W. (2024). Artificial intelligence manufacturing execution system (MES) unit control in automation application fusion industry and education platform design innovation exploration. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1997

Published by: Engineering Journals

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