Fog Computing-Based Cyber-Physical Machine Tool System

被引:23
作者
Zhou, Zude [1 ]
Hu, Jianmin [1 ]
Liu, Quan [1 ]
Lou, Ping [1 ]
Yan, Junwei [1 ]
Li, Wenfeng [1 ]
机构
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
基金
中国国家自然科学基金;
关键词
CNC machine tool; cyber-physical system (CPS); fog computing; cloud computing; INDUSTRY; 4.0; BIG DATA; DESIGN; ARCHITECTURE; ENVIRONMENT; CHALLENGES; SIMULATION;
D O I
10.1109/ACCESS.2018.2863258
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As one kind of significant manufacturing equipment, computer numerical control (CNC) machine tools have to be endowed with new functions to meet the requirements of processing devices in the era of "Industry 4.0." Inter-connection and intelligence are the fundamental characteristics of CNC machine tools in this era. To make CNC machine tools be more accessible and promote them to a higher level of intelligence, this paper presents a new architecture of CNC machine tools based on a cyber-physical system and fog computing, named as a fog computing-based cyber-physical machine tool system (FC-CPMTS). The definition, functions, and hierarchical structure of the FC-CPMTS are described respectively. CNC machine tools, cyber space, and human beings are connected closely through sensing, computing, communicating, and controlling in the FC-CPMTS. The application of fog computing enhances autonomy and collaboration of CNC machine tools. It also reduces network traffic and calculation workload of the cloud platform in the FC-CPMTS. To demonstrate the rationality and feasibility of the FC-CPMTS, an FC-CPMTS for a heavy-duty CNC machine tool is taken as a case study. The result shows that autonomy, intelligence, interconnection, and interoperability of the CNC machine tool are improved.
引用
收藏
页码:44580 / 44590
页数:11
相关论文
共 30 条
  • [1] Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems
    Adamson, Goran
    Wang, Lihui
    Moore, Philip
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2017, 43 : 305 - 315
  • [2] Cyber physical systems security: Analysis, challenges and solutions
    Ashibani, Yosef
    Mahmoud, Qusay H.
    [J]. COMPUTERS & SECURITY, 2017, 68 : 81 - 97
  • [3] Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
    Bagheri, Behrad
    Yang, Shanhu
    Kao, Hung-An
    Lee, Jay
    [J]. IFAC PAPERSONLINE, 2015, 48 (03): : 1622 - 1627
  • [4] Future Industrial Systems: Best Practices of the Intelligent Manufacturing and Services Systems (IMS2) French Research Group
    Cardin, Olivier
    Ounnar, Fouzia
    Thomas, Andre
    Trentesaux, Damien
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (02) : 704 - 713
  • [5] CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach
    Chen, Jihong
    Yang, Jianzhong
    Zhou, Huicheng
    Xiang, Hua
    Zhu, Zhihong
    Li, Yesong
    Lee, Chen-Han
    Xu, Guangda
    [J]. ENGINEERING, 2015, 1 (02) : 247 - 260
  • [6] An intelligent value stream-based approach to collaboration of food traceability cyber physical system by fog computing
    Chen, Rui-Yang
    [J]. FOOD CONTROL, 2017, 71 : 124 - 136
  • [7] Fog and IoT: An Overview of Research Opportunities
    Chiang, Mung
    Zhang, Tao
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06): : 854 - 864
  • [8] Computer-Integrated Manufacturing, Cyber-Physical Systems and Cloud Manufacturing - Concepts and relationships
    Department of Mechanical Engineering, Zhejiang University, Hangzhou
    310027, China
    不详
    1142, New Zealand
    [J]. Manuf. Let., (5-9): : 5 - 9
  • [9] An edge-based platform for dynamic Smart City applications
    Cicirelli, Franco
    Guerrieri, Antonio
    Spezzano, Giandomenico
    Vinci, Andrea
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 : 106 - 118
  • [10] A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard
    Fraga-Lamas, Paula
    Fernandez-Carames, Tiago M.
    Blanco-Novoa, Oscar
    Vilar-Montesinos, Miguel A.
    [J]. IEEE ACCESS, 2018, 6 : 13358 - 13375