Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

An Intelligent Equipment Training System Based on Incremental Learning

Authors
Yanhong Guo1, *, Yitao Wang2, Jiayi Cui3, Xin Ye1
1Institute of Advanced Intelligence, Dalian University of Technology, Linggong Road, Dalian, 116024, Liaoning, China
2Dalian Naval Academy, Jiefang Road, Dalian, 116018, Liaoning, China
3Institute of Systems Engineering, Dalian University of Technology, Linggong Road, Dalian, 116024, Liaoning, China
*Corresponding author. Email: guoyh@dlut.edu.cn
Corresponding Author
Yanhong Guo
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_124How to use a DOI?
Keywords
Equipment Training; Knowledge Extraction; Incremental Learning; Knowledge Graph
Abstract

Facing complex and lengthy equipment usage instructions and training materials, an intelligent equipment training system can effectively enhance the operational capabilities of personnel and the training capabilities of management departments. This article analyzes the problems existing in equipment training management work and constructs an intelligent equipment training system based on incremental learning. It mainly includes three functional modules: equipment training knowledge base generation module, question generation and score assessment module, and training knowledge base update module. This system overcomes the limitations of traditional manual extraction of expert prior knowledge, enabling the intelligent construction of equipment training knowledge bases and improving the management efficiency of equipment training knowledge resources. Based on training data mining, personalized questions are generated according to the differences of learners, and learners’ scores are intelligently evaluated based on their answers. Considering the generation of new knowledge in equipment training, incremental learning is introduced to dynamically update the equipment training knowledge base. This research represents a new expansion of methods in the field of artificial intelligence applied to equipment training.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_124How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yanhong Guo
AU  - Yitao Wang
AU  - Jiayi Cui
AU  - Xin Ye
PY  - 2024
DA  - 2024/11/22
TI  - An Intelligent Equipment Training System Based on Incremental Learning
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1242
EP  - 1251
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_124
DO  - 10.2991/978-94-6463-570-6_124
ID  - Guo2024
ER  -