Digital Twin in the Military Field

被引:24
作者
Mendi, Arif Furkan [1 ]
Erol, Tolga [1 ]
Dogan, Dilara [1 ]
机构
[1] HAVELSAN AS, Simulat Autonomous & Platform Management Technol, TR-06510 Ankara, Turkey
关键词
Digital twins; Military aircraft; Aircraft propulsion; Data models; Production processes; Predictive models; Digital Twin; Military; Digital Transformation;
D O I
10.1109/MIC.2021.3055153
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Digital twin technology is being invested by many countries around the world and actively used in many areas from aircraft engines to spacecraft. A digital twin is a virtual representation that allows modeling the state of a physical entity or system, and it is created by digitalizing data collected from physical entities through sensors, so various predictions could be made by understanding the behavior of the physical entity. The importance of digital twin technology increases even more in critical systems such as the military field with low fault tolerance. In the military field, digital twin technology stands out with the advantages it offers in terms of producing cost-effective solutions and increasing efficiency and quality. In this study, the current applications of digital twin technology in the military field and the advantages to be gained by using this technology will be evaluated, and then the future predictions will be discussed.
引用
收藏
页码:33 / 40
页数:8
相关论文
共 20 条
  • [1] C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems
    Alam, Kazi Masudul
    El Saddik, Abdulmotaleb
    [J]. IEEE ACCESS, 2017, 5 : 2050 - 2062
  • [2] [Anonymous], 2017, TOP TRENDS GARTNER H
  • [3] [Anonymous], 2020, SALINA POST
  • [4] [Anonymous], 2020, BEN DIG TWIN STRAT
  • [5] Bellamy III W., 2017, AVIONICS
  • [6] Cheng X., 2019, ALI RES
  • [7] Wireless Communication Networks for Gas Turbine Engine Testing
    Dai, Xuewu
    Sasloglou, Konstantinos
    Atkinson, Robert
    Strong, John
    Panella, Isabella
    Cai, Lim Yun
    Mingding, Han
    Wei, Ang Chee
    Glover, Ian
    Mitchell, John E.
    Schiffers, Werner
    Dutta, Partha S.
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2012,
  • [8] Etong N., 2019, 4 WAYS MROS CAN LEVE
  • [9] Freist R., 2018, DIGITAL TWIN BOEING
  • [10] Henz P, 2020, STEEL TIMES INT, V44, P29