Research on Data-knowledge Driven Intelligent Control Architecture for Discrete Manufacturing System
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.
smart manufacturingdiscrete manufacturing systemdata and knowledgeindustrial internet of things
NETL
NSTL
万方数据
