Zheng Kun, Lian Zhi-Wei, Wang Yu-Guo, Gu Xin-Yan, Zhu Chang-jian, Liu Xuan
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A Digital Hormone Regulation based Approach for Bio-inspired Manufacturing System Modeling
In order to solve the shortcomings of coordination mechanisms in intelligent manufacturing systems, a Bio-inspired Manufacturing System based on digital hormones is proposed. First, on the basis of defects in modern manufacturing systems, the basic construction method of knowledge graph in the field of intelligent manufacturing is proposed. Based on the basic processes and digital information of BISM, a knowledge graph of the BIMS has been established. At the same time, the principle of hormone regulation is applied to the digital information in this knowledge graph to construct a digital hormone state set. With hormone-driven and knowledge graphs for digital information distribution guidelines, a regulation model based on digital hormones is formulated. Finally, a BIMS simulation platform based on digital hormones is introduced. Based on this platform, the digital hormone regulation model and knowledge map in various disturbance situations in a dynamic environment can be deeply studied.