<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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%.</p>
</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%.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

MES, as an important part of the automation application fusion production and education platform, influences the teaching of automation majors and plays an...

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

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 13. Apr. 2024

Akzeptiert: 04. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-1997

Schlüsselwörter
MES, Kubernetes container cluster, Industry-teaching integration platform, Automation

© 2024 Qiang Peng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 13. Apr. 2024

Akzeptiert: 04. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-1997

SchlüsselwörterMES, Kubernetes container cluster, Industry-teaching integration platform, Automation

© 2024 Qiang Peng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
MES, Kubernetes container cluster, Industry-teaching integration platform, Automation