A Digital Hormone Regulation based Approach for Bio-inspired Manufacturing System Modeling

2021 International Conference on Culture-oriented Science & Technology (ICCST) Pub Date : 2021-11-01 DOI:10.1109/iccst53801.2021.00116

Zheng Kun, Lian Zhi-Wei, Wang Yu-Guo, Gu Xin-Yan, Zhu Chang-jian, Liu Xuan

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Abstract

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.

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基于数字激素调节的仿生制造系统建模方法

为了解决智能制造系统中协调机制的不足，提出了一种基于数字激素的仿生制造系统。首先，针对现代制造系统存在的缺陷，提出了智能制造领域知识图谱的基本构建方法;基于BIMS的基本流程和数字化信息，建立了BIMS的知识图谱。同时，将激素调节原理应用于知识图中的数字信息，构建数字激素状态集。以激素驱动和知识图谱为数字信息分布指南，构建了基于数字激素的调控模型。最后，介绍了基于数字激素的BIMS仿真平台。基于该平台，可以深入研究动态环境中各种干扰情况下的数字激素调节模型和知识图谱。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 International Conference on Culture-oriented Science & Technology (ICCST)

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