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

doi:10.3901/JME.2024.06.001

Abstract

Abstract: 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.

Key words: smart manufacturing, discrete manufacturing system, data and knowledge, industrial internet of things

CLC Number:

TH166

ZHANG Dang, ZHAO Yongxuan, WANG Zhenjun, ZHANG Yingfeng. Research on Data-knowledge Driven Intelligent Control Architecture for Discrete Manufacturing System[J]. Journal of Mechanical Engineering, 2024, 60(6): 1-10,20.

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