Digital Twin: Current Research Trends and Future Directions

被引:0
|
作者
Kholood K. Alnowaiser
Moataz A. Ahmed
机构
[1] King Fahd University of Petroleum & Minerals,Department of Information and Computer Science
[2] Imam Abdulrahman Bin Faisal University,Department of Computer Information Systems
[3] King Fahd University of Petroleum & Minerals,Interdisciplinary Research Center of Intelligent Secure Systems (IRC
来源
Arabian Journal for Science and Engineering | 2023年 / 48卷
关键词
Digital twin; Data-driven models; Adaptive models; Closed-loop control systems; Literature review;
D O I
暂无
中图分类号
学科分类号
摘要
Cyber physical systems, as a backbone of the Fourth Industrial Revolution (IR 4.0), and all their enabling technologies introduced a relatively newer concept named the digital twin. The interest in the digital twin technology has been growing in academia and industry. This is evident in the increasing number of published research and patents concerning digital twin development along with their various industrial applications. However, there is no framework that could be used to evaluate current digital twin development techniques available in the literature and, Using the proposed framework, identify corresponding strengths and shortfalls. In this paper, prominent approaches related to the development of digital twin were analyzed. Accordingly, a framework was built to compare between the digital twin approaches in terms of research domains, technologies, and models employed in the digital twin, and validation methods used. Using the proposed framework, gaps and future directions for digital twin research are identified from five aspects: digital twin definitions, applications, integration, modeling, and data.
引用
收藏
页码:1075 / 1095
页数:20
相关论文
共 50 条
  • [1] Digital Twin: Current Research Trends and Future Directions
    Alnowaiser, Kholood K.
    Ahmed, Moataz A.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (02) : 1075 - 1095
  • [2] Towards a semantic Construction Digital Twin: Directions for future research
    Boje, Calin
    Guerriero, Annie
    Kubicki, Sylvain
    Rezgui, Yacine
    AUTOMATION IN CONSTRUCTION, 2020, 114
  • [3] Digital Finance and FinTech: current research and future research directions
    Gomber P.
    Koch J.-A.
    Siering M.
    Journal of Business Economics, 2017, 87 (5) : 537 - 580
  • [4] Digital twin-supported smart city: Status, challenges and future research directions
    Wang, Hao
    Chen, Xiaowei
    Jia, Fu
    Cheng, Xiaojuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 217
  • [5] Digital Twin and Human Factors in Manufacturing and Logistics Systems: State of the Art and Future Research Directions
    Berti, Nicola
    Finco, Serena
    IFAC PAPERSONLINE, 2022, 55 (10): : 1893 - 1898
  • [6] Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
    Khan, Latif U.
    Saad, Walid
    Niyato, Dusit
    Han, Zhu
    Hong, Choong Seon
    IEEE COMMUNICATIONS MAGAZINE, 2022, 60 (01) : 74 - 80
  • [7] Digital twin civil engineering structure - current state and future research
    Hindersmann, Iris
    Lehan, Anne
    Panzer, Regina
    Windmann, Sarah
    Bednorz, Jennifer
    BAUTECHNIK, 2025, 102 (03) : 194 - 200
  • [8] Research Streams of Barriers to Digital Transformation: Mapping Current State and Future Directions
    Brink, Henning
    Paul, Fynn-Hendrik
    Packmohr, Sven
    SOFTWARE BUSINESS, ICSOB 2023, 2024, 500 : 493 - 511
  • [9] The review of "green" research in hospitality, 2000-2014 Current trends and future research directions
    Kim, Sun-Hwa
    Lee, Kiwon
    Fairhurst, Ann
    INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2017, 29 (01) : 226 - 247
  • [10] Digital Twin-Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions
    Qian, Cheng
    Liu, Xing
    Ripley, Colin
    Qian, Mian
    Liang, Fan
    Yu, Wei
    FUTURE INTERNET, 2022, 14 (02):