科技导报 >

2018 , Vol. 36 >Issue 21: 10 - 22

DOI: https://doi.org/10.3981/j.issn.1000-7857.2018.21.001

专题：智能制造

平行制造与工业5.0:从虚拟制造到智能制造

  • 王飞跃 ,
  • 高彦臣 ,
  • 商秀芹 ,
  • 张俊
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  • 1. 中国科学院自动化研究所, 复杂系统管理与控制国家重点实验室, 北京 100190;
    2. 中国科学院自动化研究所, 北京智能技术工程研究中心, 北京 100190;
    3. 青岛市智能产业技术研究院, 青岛 266109
王飞跃,研究员,研究方向为智能制造,电子信箱:feiyue@gmail.com

收稿日期: 2018-04-12

  修回日期: 2018-10-11

  网络出版日期: 2018-11-27

基金资助

国家自然科学基金项目（61533019，71232006，61233001，61773381，61773382，71702182，91520301）

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Parallel manufacturing and industries 5.0: From virtual manufacturing to intelligent manufacturing

  • WANG Fei-Yue ,
  • GAO Yanchen ,
  • SHANG Xiuqin ,
  • ZHANG Jun
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  • 1. The State Key Laboratory of Management and Control for Complex Systems;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
    2. Beijing Engineering Research Center of Intelligent Systems and Technology;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
    3. Qingdao Academy of Intelligent Industries, Qingdao 266109, China

Received date: 2018-04-12

  Revised date: 2018-10-11

  Online published: 2018-11-27

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摘要

以虚拟制造为基础，提出一种智能制造的新范式——平行制造。它融合了社会物理信息系统（cyber-physical-social-systems，CPSS）和工业智联网的概念，综合物理系统、信息系统和社会系统的复杂性，以ACP（artificial systems，人工系统）、计算实验（computational experiments）、平行执行（parallel execution）方法为理论指导，结合工业智联网技术、软件定义技术和知识自动化技术，构建了平行演化、闭环反馈、协同优化的智能制造体系。该系统由3部分组成：软件定义的过程与工厂确定其描述智能、计算实验优化建立其预测智能、虚实互动的平行执行构建其引导智能。通过描述、预测和引导智能的全方位综合利用，实现数字化与透明化的制造企业智能化体系。

关键词： 平行制造; 智能制造; 虚拟制造; 人工系统; 社会物理信息系统; 知识自动化

本文引用格式

王飞跃 , 高彦臣 , 商秀芹 , 张俊 . 平行制造与工业5.0:从虚拟制造到智能制造[J]. 科技导报, 2018 , 36(21) : 10 -22 . DOI: 10.3981/j.issn.1000-7857.2018.21.001

Abstract

Based on virtual manufacturing, a new paradigm of intelligent manufacturing, parallel manufacturing is proposed. It integrates the concepts of cyber-physical-social system (CPSS) and industrial IoM by considering the complexity of physical, information and social systems. Based on ACP (artificial systems, computational experiments, parallel execution) method, an intelligent system of steel manufacturing is developed to realize parallel evolution, closed-loop feedback and cooperative optimization. It consists of three parts, namely, descriptive intelligence through software defined steelworks (SDS), predictive intelligence based on computational experiment and optimization, and prescriptive intelligence using parallel execution between virtuality and reality. Through the comprehensive utilization of descriptive, predictive and prescriptive intelligence, intelligent production is realized to transparentize and digitize the manufacturing system.

Key words： parallel manufacturing; intelligent manufacturing; virtual manufacturing; artificial systems; cyber-physical-social-systems; knowledge automation

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