Parallel Manufacturing for Industrial Metaverses:A New Paradigm in Smart Manufacturing

被引:12
作者
Jing Yang [1 ,2 ]
Xiaoxing Wang [3 ]
Yandong Zhao [4 ]
机构
[1] The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences
[2] School of Artificial Intelligence, University of Chinese Academy of Sciences
[3] Beijing SANBODY Technology Company, Ltd
[4] North Automatic Control Technology Institute
关键词
D O I
暂无
中图分类号
TP391.9 [计算机仿真];
学科分类号
080203 ;
摘要
To tackle the complexity of human and social factors in manufacturing systems, parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart manufacturing for effective and efficient operations of those systems, where Cyber-Physical-Social Systems(CPSSs) and the Internet of Minds(Io M) are regarded as its infrastructures and the "Artificial systems", "Computational experiments"and "Parallel execution"(ACP) method is its methodological foundation for parallel evolution, closed-loop feedback, and collaborative optimization. In parallel manufacturing, social demands are analyzed and extracted from social intelligence for product R&D and production planning, and digital workers and robotic workers perform the majority of the physical and mental work instead of human workers, contributing to the realization of low-cost, high-efficiency and zero-inventory manufacturing. A variety of advanced technologies such as Knowledge Automation(KA), blockchain, crowdsourcing and Decentralized Autonomous Organizations(DAOs) provide powerful support for the construction of parallel manufacturing, which holds the promise of breaking the constraints of resource and capacity, and the limitations of time and space. Finally, the effectiveness of parallel manufacturing is verified by taking the workflow of customized shoes as a case,especially the unmanned production line named Flex Vega.
引用
收藏
页码:2063 / 2070
页数:8
相关论文
共 26 条
[1]  
Blockchain-Assisted Secure Fine-Grained Searchable Encryption for a Cloud-Based Healthcare Cyber-Physical System[J]. Mamta,Brij B.Gupta,Kuan-Ching Li,Victor C. M. Leun,Kostas E.Psannis,Shingo Yamaguchi.IEEE/CAA Journal of Automatica Sinica. 2021(12)
[2]  
Elastic Smart Contracts in Blockchains[J]. Schahram Dustda,Pablo Fernández,José María García,Antonio Ruiz-Cortés.IEEE/CAA Journal of Automatica Sinica. 2021(12)
[3]   MU-GAN:Facial Attribute Editing Based on Multi-Attention Mechanism [J].
Ke Zhang ;
Yukun Su ;
Xiwang Guo ;
Liang Qi ;
Zhenbing Zhao .
IEEE/CAAJournalofAutomaticaSinica, 2021, 8 (09) :1614-1626
[4]  
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders[J]. Samuel Harford,Fazle Karim,Houshang Darabi.IEEE/CAA Journal of Automatica Sinica. 2021(09)
[5]  
Guest Editorial for Special Issue on Cognitive Computing for Collaborative Robotics[J]. Huimin Lu,Dongpu Cao,Dacheng Tao,Schahram Dustdar,Pinhan Ho.IEEE/CAA Journal of Automatica Sinica. 2021(07)
[6]  
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis[J]. Qiyue Wang,Wenhua Jiao,Peng Wang,YuMing Zhang.IEEE/CAA Journal of Automatica Sinica. 2021(02)
[7]  
Resilient Control in Large-Scale Networked Cyber-Physical Systems: Guest Editorial[J]. Giuseppe Franzè,Giancarlo Fortino,Xianghui Cao,Giuseppe Maria Luigi Sarnè,Zhen Song.IEEE/CAA Journal of Automatica Sinica. 2020(05)
[8]  
AI-Based Modeling and Data-Driven Evaluation for Smart Manufacturing Processes[J]. Mohammadhossein Ghahramani,Yan Qiao,Meng Chu Zhou,Adrian O’Hagan,James Sweeney.IEEE/CAA Journal of Automatica Sinica. 2020(04)
[9]  
面向新一代智能制造的人-信息-物理系统(HCPS)[J]. 周济,周艳红,王柏村,臧冀原.Engineering. 2019(04)
[10]  
平行制造与工业5.0:从虚拟制造到智能制造[J]. 王飞跃,高彦臣,商秀芹,张俊.科技导报. 2018(21)