Research on Data-knowledge Driven Intelligent Control Architecture for Discrete Manufacturing System

被引：0
|
作者：
Zhang D. [1 ]
Zhao Y. [1 ,2 ]
Wang Z. [3 ]
Zhang Y. [1 ]
机构：
[1] School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an
[2] China Aviation Engine Research Institute, Beijing
[3] School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2024年 / 60卷 / 06期
关键词：
data and knowledge; discrete manufacturing system; industrial internet of things; smart manufacturing;
D O I：
10.3901/JME.2024.06.001
中图分类号：
学科分类号：
摘要：
Current discrete manufacturing systems have challenges in intelligent control, manufacturing resource configuration, and iterative evolution of data and knowledge-driven algorithms. To solve these challenges, a kind of architecture of intelligent control for discrete manufacturing system is proposed in the data and knowledge-driven environment. Based on this, a multi-dimensional operation mechanism of data and knowledge in manufacturing systems is analyzed. Furthermore, for the underlying manufacturing resources in operation layer, combined with CPS and industrial IoT technology, a manufacturing resource configuration method based on the dynamic interaction between the operation layer and the algorithm layer is designed. In view of the inherent advantages and disadvantages of data-driven algorithms and knowledge-driven algorithms in the architecture, three data and knowledge-driven algorithm modes in the algorithm layer are refined. The proposed system and strategy can be a theoretical reference for the research and application of intelligent control in the next generation of smart factory. © 2024 Chinese Mechanical Engineering Society. All rights reserved.
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页码：1 / 10and20
页数：1019
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