Leveraging Digital Twin Technology in Model-Based Systems Engineering

被引:415
|
作者
Madni, Azad M. [1 ]
Madni, Carla C. [1 ]
Lucero, Scott D. [2 ]
机构
[1] Intelligent Syst Technol Inc, Los Angeles, CA 90066 USA
[2] Off USD, Res & Engn, Washington, DC 20301 USA
来源
SYSTEMS | 2019年 / 7卷 / 01期
关键词
model-based systems engineering; digital twin; digital thread; Internet of Things; simulation; virtual prototype; Model Based Systems Engineering (MBSE) experimentation testbed; ACQUISITION;
D O I
10.3390/systems7010007
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model-based system engineering (MBSE). A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter's performance, maintenance, and health status data throughout the physical system's life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Implementing a Model-Based, Digital Engineering Enterprise for a Defense Systems Integrator – an Ongoing Journey
    Wang, Gan
    [J]. INCOSE International Symposium, 2020, 30 (01) : 783 - 798
  • [42] Validation of Digital System Models: A Framework and SysML Profile for Model-Based Systems Engineering
    Winton, James R.
    Colombi, John M.
    Jacques, David R.
    Johnson, Kip E.
    [J]. INCOSE International Symposium, 2023, 33 (01) : 569 - 583
  • [43] Special issue on model-based systems engineering
    Ingham, Michel D.
    [J]. SYSTEMS ENGINEERING, 2019, 22 (02) : 97 - 97
  • [44] Redundancy handling with model-based systems engineering
    Nguyen, N.
    Mhenni, F.
    Choley, J. Y.
    [J]. RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE, 2017, : 2724 - 2731
  • [45] Augmenting Model-Based Systems Engineering with Knowledge
    Medinacelli, Luis Palacios
    Noyrit, Florian
    Mraidha, Chokri
    [J]. ACM/IEEE 25TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS, MODELS 2022 COMPANION, 2022, : 351 - 358
  • [46] An Interdisciplinary Course on Model-Based Systems Engineering
    Khandoker, Azad
    Sint, Sabine
    Wimmer, Manuel
    Zeman, Klaus
    [J]. 2023 ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION, MODELS-C, 2023, : 102 - 109
  • [47] Model-based engineering for automated production systems
    Fay, Alexander
    Witte, Martin Emmerich
    Figalist, Helmut
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2018, 66 (05) : 357 - 359
  • [48] A Bibliometric Analysis on Model-based Systems Engineering
    Li, Zihang
    Lu, Jinzhi
    Wang, Guoxin
    Feng, Lei
    Broo, Didem Gurdur
    Kiritsis, Dimitris
    [J]. 7TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (IEEE ISSE 2021), 2021,
  • [49] Maßgeschneidertes model-based systems engineering
    Wartzack, Sandro
    [J]. Konstruktion, 2020, 2020 (11-12):
  • [50] Model-based systems engineering in modular design
    Albers, Albert
    Bursac, Nikola
    Scherer, Helmut
    Birk, Clemens
    Powelske, Jonas
    Muschik, Sabine
    [J]. DESIGN SCIENCE, 2019, 5