DIGITAL TWINS FOR SPACE FACTORY 4.0

被引:0
|
作者
Martins, Thiago Weber [1 ]
Anderl, Reiner [1 ]
机构
[1] Tech Univ Darmstadt, Fac Mech Engn, Dept Comp Integrated Design, Otto Berndt Str 2, D-64287 Darmstadt, Germany
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Aiming the rapid response of mega constellation of satellites to cover the increasing demand for Earth observation and communication, in-orbit manufacturing is a promising approach. Driven by the NewSpace, which is leading a paradigm change in the space industry, the project Space Factory 4.0 has been founded to establish new processes and technologies based on the Industrie 4.0 approaches for rapid satellite assembly on an in-orbit platform. One of its fundamental approaches and the main contribution of this paper is the Digital Twins. In the scope of a Space Factory 4.0, the Digital Twin is a holistic approach for supporting and controlling systems for in-orbit Assembly, Integration, and Test processes, as well as satellite operations, by establishing a bidirectional link to its physical counterpart. It is an essential approach to obtain a digital representation of the current state of the real product at any time, enabling the recognition of and reaction to disruptive parameters at an early stage. To model Digital Twins and to meet the specific requirements of a Space Factory 4.0, such as the capability of sending telecommands and processing telemetry data, an extension of Industrie 4.0 component, called Space Factory 4.0 component, is proposed. This paper discusses this concept, its implementation and the results obtained and concludes to discuss its benefits and potentials for the space industry.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Designing the Digital Twins of Reconfigurable Manufacturing Systems: application on a smart factory
    da Cunha, Catherine
    Cardin, Olivier
    Gallot, Guillaume
    Viaud, Julien
    [J]. IFAC PAPERSONLINE, 2021, 54 (01): : 874 - 879
  • [42] Digital twin and Production 4.0: Seamless value added journey for the digital twin in a smart factory
    Himstedt, Steffen
    [J]. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2020, 115 : 41 - 42
  • [43] Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0
    Sahal, Radhya
    Alsamhi, Saeed H.
    Breslin, John G.
    Brown, Kenneth N.
    Ali, Muhammad Intizar
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [44] Editorial: Cognitive digital twins for facilitating construction 4.0: Challenges and opportunities for implementation
    Yitmen, Ibrahim
    Kovacic, Iva
    Tagliabue, Lavinia Chiara
    [J]. FRONTIERS IN BUILT ENVIRONMENT, 2023, 9
  • [45] An approach for Industrie 4.0-compliant and data-sovereign Digital Twins
    Jacoby, Michael
    Volz, Friedrich
    Weissenbacher, Christian
    Stojanovic, Ljiljana
    Uslaender, Thomas
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2021, 69 (12) : 1051 - 1061
  • [46] Reinforcing Industry 4.0 With Digital Twins and Blockchain-Assisted Federated Learning
    Aloqaily, Moayad
    Al Ridhawi, Ismaeel
    Kanhere, Salil
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2023, 41 (11) : 3504 - 3516
  • [47] Digital Twins for Healthcare 4.0-Recent Advances, Architecture, and Open Challenges
    Alazab, Mamoun
    Khan, Latif U.
    Koppu, Srinivas
    Ramu, Swarna Priya
    Iyapparaja, M.
    Boobalan, Parimala
    Maddikunta, Praveen Kumar Reddy
    Gadekallu, Thippa Reddy
    Baker, Thar
    Aljuhani, Ahamed
    [J]. IEEE CONSUMER ELECTRONICS MAGAZINE, 2023, 12 (06) : 29 - 37
  • [48] Connecting Industrie 4.0 Digital Twins during Execution to Other Components' Interfaces
    Redeker, Magnus
    Tikekar, Juilee
    [J]. 2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [49] When Softbots Meet Digital Twins: Towards Supporting the Cognitive Operator 4.0
    Rabelo, Ricardo J.
    Romero, David
    Zambiasi, Saulo P.
    Magalhaes, Luciano C.
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 37 - 47
  • [50] Prototyping Autonomous Robotic Networks on Different Layers of RAMI 4.0 with Digital Twins
    Barbie, Alexander
    Hasselbring, Wilhelm
    Pech, Niklas
    Sommer, Stefan
    Flogel, Sascha
    Wenzhofer, Frank
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2020, : 1 - 6