Intelligent Manufacturing From the Perspective of Industry 5.0: Application Review and Prospects

被引:2
|
作者
Lei, Ziang [1 ]
Shi, Jianhua [2 ]
Luo, Ziren [1 ]
Cheng, Minghao [1 ]
Wan, Jiafu [1 ]
机构
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510641, Peoples R China
[2] Shanxi Datong Univ, Sch Mech & Elect Engn, Datong 037009, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Industry; 5.0; intelligent manufacturing; digital twin; Internet of Things; human-robot collaboration; MULTIMODE ANTENNAS; MIMO RADAR; COMMUNICATION; NETWORKS; DESIGN; SYSTEM; UWB;
D O I
10.1109/ACCESS.2024.3496697
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
While Industry 4.0 improves human productivity, it also raises sustainability and social challenges. Industry 5.0, as a supplement and logical continuation of the Industry 4.0 paradigm, focuses on the development of a human-centric, sustainable, and resilient manufacturing system. This paper reviews the existing literature. First, it discusses the definition and implementation framework for Industry 5.0. Then, it expounds the application status of Industry 5.0 in the field of intelligent manufacturing from four perspectives: digital manufacturing and intelligence, human-centric intelligent manufacturing and production process management, decentralized and resilient production, and sustainable production. It summarizes the role of Industry 5.0 technology in various intelligent manufacturing scenarios, as well as the challenges it faces, and concludes by analyzing Industry 5.0's potential development direction and future technologies. This paper believes that the application of Industry 5.0 technology will effectively improve the production capacity of intelligent manufacturing systems and promote the development of intelligent manufacturing systems in a safe, efficient, sustainable and resilient direction; the development of Industry 5.0 will focus on giving full play to human creativity, avoiding repetitive labor through human-robot collaboration, and thereby realizing human value.
引用
收藏
页码:167436 / 167451
页数:16
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