Analysis of Industrial Internet of Things and Digital Twins

被引：3
|
作者：
TAN Jie [1 ,2 ]
SHA Xiubin [1 ,2 ]
DAI Bo [1 ,2 ]
LU Ting [1 ,2 ]
机构：
[1] ZTE Corporation
[2] State Key Laboratory of Mobile Network and Mobile Multimedia
来源：
ZTECommunications | 2021年 / 19卷 / 02期
关键词：
digital twins; industrial Internet of Things(IIoT); standards;
D O I：
暂无
中图分类号：
TN929.5 [移动通信]; TP391.44 [];
学科分类号：
080402 ; 080904 ; 0810 ; 081001 ; 0811 ; 081101 ; 081104 ; 1405 ;
摘要：
The industrial Internet of Things(IIoT) is an important engine for manufacturing enterprises to provide intelligent products and services. With the development of IIoT, more and more attention has been paid to the application of ultra-reliable and low latency communications(URLLC) in the 5 G system. The data analysis model represented by digital twins is the core of IIoT development in the manufacturing industry. In this paper, the efforts of 3 GPP are introduced for the development of URLLC in reducing delay and enhancing reliability, as well as the research on little jitter and high transmission efficiency. The enhanced key technologies required in the IIoT are also analyzed. Finally, digital twins are analyzed according to the actual IIoT situation.
引用
收藏
页码：53 / 60
页数：8
相关论文
共 50 条
  • [11] Measuring Digital Twin Entanglement in Industrial Internet of Things
    Bellavista, Paolo
    Bicocchi, Nicola
    Fogli, Mattia
    Giannelli, Carlo
    Mamei, Marco
    Picone, Marco
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 5897 - 5903
  • [12] Key Technologies and Perspectives of Power Internet of Things Facing With Digital Twins of the Energy Internet
    Zhao P.
    Pu T.
    Wang X.
    Han X.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (02): : 447 - 457
  • [13] Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning
    Li, Xiaoming
    Liu, Hao
    Wang, Weixi
    Zheng, Ye
    Lv, Haibin
    Lv, Zhihan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 128 : 167 - 177
  • [14] Multifidelity Data Fusion Mechanism for Digital Twins via the Internet of Things
    Wang, Hao
    Song, Xueguan
    Zhang, Chao
    IEEE INTERNET COMPUTING, 2025, 29 (01) : 16 - 23
  • [15] Dealing with Uncertainty in Software Architecture on the Internet-of-Things with Digital Twins
    Oquendo, Flavio
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT I: 19TH INTERNATIONAL CONFERENCE, SAINT PETERSBURG, RUSSIA, JULY 1-4, 2019, PROCEEDINGS, PT I, 2019, 11619 : 770 - 786
  • [16] Secure smart contract-based digital twins for the Internet of Things
    Pittaras, Iakovos
    Fotiou, Nikos
    Karapapas, Christos
    Siris, Vasilios A.
    Polyzos, George C.
    BLOCKCHAIN-RESEARCH AND APPLICATIONS, 2024, 5 (01):
  • [17] Digital twins and blockchain technology in the industrial Internet of Things (IIoT) using an extended decision support system model: Industry 4.0 barriers perspective
    Li, Yi
    Su, Da An
    Mardani, Abbas
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 195
  • [18] A Security Analysis Method for Industrial Internet of Things
    Mouratidis, Haralambos
    Diamantopoulou, Vasiliki
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (09) : 4093 - 4100
  • [19] Data-Quality Assessment for Digital Twins Targeting Multi-Component Degradation in Industrial Internet of Things (IIoT)-Enabled Smart Infrastructure Systems
    Barimah, Atuahene Kwasi
    Niculita, Octavian
    Mcglinchey, Don
    Cowell, Andrew
    APPLIED SCIENCES-BASEL, 2023, 13 (24):
  • [20] ODTRA-Based Task Offload Optimization for Industrial Internet of Things: Improving Efficiency and Performance With Digital Twins and Metaheuristic Optimization
    Swaminathan, Dhivya
    Rajagopalan, Arul
    Nidumolu, Venkatram
    Alroobaea, Roobaea
    Kotb, Hossam
    Aboras, Kareem M.
    Elrashidi, Ali
    IEEE ACCESS, 2024, 12 : 51796 - 51817
12345