Digital twin process and simulation operation control technology for intelligent manufacturing unit

被引:2
|
作者
He, Yichao [1 ]
Zhang, Niansong [1 ]
Wang, Aimin [2 ]
机构
[1] Nanjing Univ Sci & Technol, Dept Mech Engn, 200 Xiao Lingwei St, Nanjing, Jiangsu, Peoples R China
[2] Beijing Inst Technol, Dept Mech Engn, 5 South Zhongguancun St, Beijing, Peoples R China
关键词
D O I
10.1088/1757-899X/836/1/012010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the manufacturing process, the intelligent manufacturing unit will produce unexpected situations with different forms and a large amount of data. How to control the intelligent manufacturing unit more intuitively and effectively control the operation and control of the trolley is an urgent problem to be solved. This paper proposes a digital twin process and simulation operation control technology for intelligent manufacturing units, including virtual workshop and actual workshop real-time mapping technology and digital twin-based simulation control technology. Through these two technical means, intelligent manufacturing unit realized visual real-time management and control. In the end, the author designed an intelligent manufacturing unit management system to successfully verify the effectiveness of the above technology.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] A Digital Twin Platform Integrating Process Parameter Simulation Solution for Intelligent Manufacturing
    Wang, Haoran
    Yang, Zuoqing
    Zhang, Quan
    Sun, Qilei
    Lim, Enggee
    [J]. ELECTRONICS, 2024, 13 (04)
  • [2] Research on intelligent operation and maintenance of power systems in manufacturing enterprises based on digital twin technology
    Liu, Chao
    Lin, Shen
    Yao, Liming
    Li, Ning
    Zhang, Wei
    [J]. OPTICAL AND QUANTUM ELECTRONICS, 2024, 56 (01)
  • [3] Intelligent Manufacturing with Digital Twin
    Moeller, Dietmar P. F.
    Vakilzadian, Hamid
    Hou, Weyan
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), 2021, : 413 - 418
  • [4] DIGITAL TWIN SIMULATION AND OPTIMIZATION OF MANUFACTURING PROCESS FLOWS
    Lee, Hankang
    Yang, Hui
    [J]. PROCEEDINGS OF ASME 2023 18TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2023, VOL 2, 2023,
  • [5] RETRACTION: Retraction Note: Research on intelligent operation and maintenance of power systems in manufacturing enterprises based on digital twin technology
    Liu, Chao
    Lin, Shen
    Yao, Liming
    Li, Ning
    Zhang, Wei
    [J]. OPTICAL AND QUANTUM ELECTRONICS, 2024, 56 (09)
  • [6] Digital twin assisted intelligent machining process monitoring and control
    Bakhshandeh, Parsa
    Mohammadi, Yaser
    Altintas, Yusuf
    Bleicher, Friedrich
    [J]. CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2024, 49 : 180 - 190
  • [7] Probabilistic Digital Twin for Additive Manufacturing Process Design and Control
    Nath, Paromita
    Mahadevan, Sankaran
    [J]. JOURNAL OF MECHANICAL DESIGN, 2022, 144 (09)
  • [8] Digital twin technology for "smart manufacturing"
    Evangeline, Preetha
    Anandhakumar
    [J]. DIGITAL TWIN PARADIGM FOR SMARTER SYSTEMS AND ENVIRONMENTS: THE INDUSTRY USE CASES, 2020, 117 : 35 - 49
  • [9] Autonomous Liquid-Liquid Extraction Operation in Biologics Manufacturing with Aid of a Digital Twin including Process Analytical Technology
    Uhl, Alexander
    Schmidt, Axel
    Hlawitschka, Mark W.
    Strube, Jochen
    [J]. PROCESSES, 2023, 11 (02)
  • [10] The Intelligent Control Technology of Manufacturing Execution Process Based on RFID
    Fan, Ruicheng
    Wang, Aimin
    Lv, Yanpeng
    [J]. 2015 4TH INTERNATIONAL CONFERENCE ON MECHANICS AND CONTROL ENGINEERING (ICMCE 2015), 2015, 35