Automation 5.0: The Key to Systems Intelligence and Industry 5.0
文献类型:期刊论文
作者 | Vlacic, Ljubo3,4; Huang, Hailong5; Dotoli, Mariagrazia6; Wang, Yutong7,8![]() |
刊名 | IEEE-CAA JOURNAL OF AUTOMATICA SINICA
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出版日期 | 2024-08-01 |
卷号 | 11期号:8页码:1723-1727 |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2024.124635 |
通讯作者 | Vlacic, Ljubo(l.vlacic@griffith.edu.au) |
英文摘要 | Automation has come a long way since the early days of mechanization, i.e., the process of working exclusively by hand or using animals to work with machinery. The rise of steam engines and water wheels represented the first generation of industry, which is now called Industry 1.0. Subsequently, Industry 2.0 witnessed the development of electric power and assembly lines. Later on, programmable logic controllers and Human Machine Interfaces (HMI) were the new productivity tools in Industry 3.0, which enabled precise and consistent production. In recent years, Industry 4.0 absorbed the latest technologies of Internet of Things (IoT), Artificial Intelligence (AI), and big data, making production processes integrated, interconnected, and smart. Nowadays, Industry 5.0 has been proposed, which emphasizes human-centric automation. Specifically, the new concept of automation in Industry 5.0, named Automation 5.0, is no longer about how to create machinery to replace humans. Instead, it aims to reach organic interactions and cooperation between humans and machines, meeting the goal of "6S" - Safety, Security, Sustainability, Sensitivity, Service, and Smartness [1]-[4] - and the overall objective of deploying automation for the better, human-friendly, and smarter industry. |
WOS关键词 | KNOWLEDGE AUTOMATION ; CPS |
资助项目 | Hong Kong Polytechnic University[P0038447] ; Science and Technology Development Fund, Macau SAR[0093/2023/RIA2] ; Science and Technology Development Fund, Macau SAR[0145/2023/RIA3] |
WOS研究方向 | Automation & Control Systems |
语种 | 英语 |
WOS记录号 | WOS:001273931000003 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | Hong Kong Polytechnic University ; Science and Technology Development Fund, Macau SAR |
源URL | [http://ir.ia.ac.cn/handle/173211/59324] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Vlacic, Ljubo |
作者单位 | 1.Univ Southern Calif, Dept Elect Engn Syst, Los Angeles, CA 90007 USA 2.Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China 3.Griffith Univ, Inst Intelligent & Integrated Syst, Nathan, Qld 4111, Australia 4.Griffith Univ, Sch Engn & Built Environm, Nathan, Qld 4111, Australia 5.Hong Kong Polytech Univ, Dept Aeronaut & Aviat Engn, Hong Kong, Peoples R China 6.Polytech Bari, Dept Elect & Informat Engn, I-70126 Bari, Italy 7.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 8.Qingdao Acad Intelligent Ind, Qingdao 266114, Peoples R China 9.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 10.Beijing Huairou Acad Parallel Sensing, Beijing 101499, Peoples R China |
推荐引用方式 GB/T 7714 | Vlacic, Ljubo,Huang, Hailong,Dotoli, Mariagrazia,et al. Automation 5.0: The Key to Systems Intelligence and Industry 5.0[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2024,11(8):1723-1727. |
APA | Vlacic, Ljubo.,Huang, Hailong.,Dotoli, Mariagrazia.,Wang, Yutong.,Ioannou, Petros A..,...&Wang, Fei-Yue.(2024).Automation 5.0: The Key to Systems Intelligence and Industry 5.0.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,11(8),1723-1727. |
MLA | Vlacic, Ljubo,et al."Automation 5.0: The Key to Systems Intelligence and Industry 5.0".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 11.8(2024):1723-1727. |
入库方式: OAI收割
来源:自动化研究所
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