Research on Digital Transformation and Upgrading of University Engineering Technology Majors based on Neural Network

This paper studies the digital transformation and upgrading algorithms of universities based on artificial intelligence. Through the precise docking of the digital transformation and development of the manufacturing industry, we study and determine the knowledge structure, ability requirements, and professional digital literacy of intelligent manufacturing digital talents by the process design and programming of industrial robots, the operation and integrated debugging of the production line of intelligent manufacturing workshop, production control and maintenance and other job requirements. Through experiments, we conclude that the algorithm in this paper has advantages.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3708036.3708200
Primary Topic
Engineering and Environmental Studies
Type
article
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Research on Digital Transformation and Upgrading of University Engineering Technology Majors based on Neural Network

Lingling Ning, Ranran Liu, Jianqiang Wang
Engineering and Environmental Studies
article

Research on Digital Transformation and Upgrading of University Engineering Technology Majors based on Neural Network

Lingling Ning, Ranran Liu, Jianqiang Wang
article en

Abstract

This paper studies the digital transformation and upgrading algorithms of universities based on artificial intelligence. Through the precise docking of the digital transformation and development of the manufacturing industry, we study and determine the knowledge structure, ability requirements, and professional digital literacy of intelligent manufacturing digital talents by the process design and programming of industrial robots, the operation and integrated debugging of the production line of intelligent manufacturing workshop, production control and maintenance and other job requirements. Through experiments, we conclude that the algorithm in this paper has advantages.

Shandong University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Engineering and Environmental Studies
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