数据-知识混合驱动的离散制造系统智能控制体系构架研究

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.