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 [J].
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 [J].
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 [J].
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]   Performance of Smart Contract-based Digital Twins for the Internet of Things [J].
Nassar, Chalima Dimitra ;
Pittaras, Iakovos ;
Papathanasiou, Athanasia Maria ;
Xylomenos, George ;
Polyzos, George C. .
PROCEEDINGS OF THE 2ND ACM INTERNATIONAL WORKSHOP ON MIDDLEWARE FOR DIGITAL TWIN, MIDD4DT 2024, 2024, :1-6
[15]   Secure smart contract-based digital twins for the Internet of Things [J].
Pittaras, Iakovos ;
Fotiou, Nikos ;
Karapapas, Christos ;
Siris, Vasilios A. ;
Polyzos, George C. .
BLOCKCHAIN-RESEARCH AND APPLICATIONS, 2024, 5 (01)
[16]   Multifidelity Data Fusion Mechanism for Digital Twins via the Internet of Things [J].
Wang, Hao ;
Song, Xueguan ;
Zhang, Chao .
IEEE INTERNET COMPUTING, 2025, 29 (01) :16-23
[17]   Dealing with Uncertainty in Software Architecture on the Internet-of-Things with Digital Twins [J].
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
[18]   Digital twins and blockchain technology in the industrial Internet of Things (IIoT) using an extended decision support system model: Industry 4.0 barriers perspective [J].
Li, Yi ;
Su, Da An ;
Mardani, Abbas .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 195
[19]   A Security Analysis Method for Industrial Internet of Things [J].
Mouratidis, Haralambos ;
Diamantopoulou, Vasiliki .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (09) :4093-4100
[20]   Data-Quality Assessment for Digital Twins Targeting Multi-Component Degradation in Industrial Internet of Things (IIoT)-Enabled Smart Infrastructure Systems [J].
Barimah, Atuahene Kwasi ;
Niculita, Octavian ;
Mcglinchey, Don ;
Cowell, Andrew .
APPLIED SCIENCES-BASEL, 2023, 13 (24)
12345