Development of a Virtual Reality Model Using Digital Twin for Real-Time Data Analysis

被引:0
|
作者
Sahoo S.K. [1 ]
Nalinipriya G. [2 ]
Srinivasan P.S. [3 ]
Ramesh J.V.N. [4 ]
Ramamoorthy K. [5 ]
Soleti N. [6 ]
机构
[1] Department of EIE, CVR College of Engineering, Telangana, Hyderabad
[2] Department of IT, Saveetha Engineering College, Tamil Nadu, Chennai
[3] Department of Mathematics, Panimalar Engineering College, Tamil Nadu, Chennai
[4] Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., Guntur
[5] Department of ECE, PSNA College of Engineering and Technology, Dindigul
[6] Computer Science, and Information Technology, MLR Institute of Technology, Hyderabad
关键词
Augmented reality; Digital twin; Implementation; Machining technology; Monitoring;
D O I
10.1007/s42979-023-01928-5
中图分类号
学科分类号
摘要
Digital Twin (DT) machining technology enables real-time monitoring of machining operations, ensuring precision in the process. The virtual–real separation display method utilizes advanced DT systems, but it hinders the effective transmission of essential data to local technicians, thereby limiting the utilization of field processing supported by DT systems. Augmented Reality (AR) is employed to address the issue of monitoring the machining process, which is facilitated by a DT system. First, a dynamic multi-view for AR is created by incorporating data from various sources. Second, ongoing observation of the intermediate processing in AR promotes collaboration between the DT machining system and operators, particularly for complex products, preventing irreparable errors when the final product is nearly complete. The framework includes a module for data representation and detailed explanations are provided for the modules focused on data management and data organization. In a case study, the application of cutting tool wear prediction demonstrates the feasibility and the effectiveness of the proposed method for data construction. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
引用
收藏
相关论文
共 50 条
  • [21] Construction of a Real-time Communication Platform for Regional Printmaking Using Virtual Reality and Big Data Analysis for Engineering Education
    Pan K.
    Chi H.
    Computer-Aided Design and Applications, 2023, 20 (S9): : 61 - 82
  • [22] Real-Time Cyber Attack Localization in Distribution Systems Using Digital Twin Reference Model
    Khan, Mohammed Masum Siraj
    Giraldo, Jairo
    Parvania, Masood
    IEEE TRANSACTIONS ON POWER DELIVERY, 2023, 38 (05) : 3238 - 3249
  • [23] Validation of real-time systems using a virtual reality simulation tool
    Gimenez, AM
    Kirner, TG
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 1586 - 1591
  • [24] Real-time body tracking in virtual reality using a Vive tracker
    Polona Caserman
    Augusto Garcia-Agundez
    Robert Konrad
    Stefan Göbel
    Ralf Steinmetz
    Virtual Reality, 2019, 23 : 155 - 168
  • [25] Real-time body tracking in virtual reality using a Vive tracker
    Caserman, Polona
    Garcia-Agundez, Augusto
    Konrad, Robert
    Goebel, Stefan
    Steinmetz, Ralf
    VIRTUAL REALITY, 2019, 23 (02) : 155 - 168
  • [26] Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor
    Feigl, Tobias
    Gruner, Lisa
    Mutschler, Christopher
    Roth, Daniel
    ADJUNCT PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2020), 2020, : 84 - 89
  • [27] Modelling of wind turbine gear stages for Digital Twin and real-time virtual sensing using bond graphs
    Mehlan, F. C.
    Pedersen, E.
    Nejad, A. R.
    SCIENCE OF MAKING TORQUE FROM WIND, TORQUE 2022, 2022, 2265
  • [28] Real-time machining data application and service based on IMT digital twin
    Xin Tong
    Qiang Liu
    Shiwei Pi
    Yao Xiao
    Journal of Intelligent Manufacturing, 2020, 31 : 1113 - 1132
  • [29] Digital twin concepts for linking live sensor data with real-time models
    Jedermann, Reiner
    Singh, Kunal
    Lang, Walter
    Mahajan, Pramod
    JOURNAL OF SENSORS AND SENSOR SYSTEMS, 2023, 12 (01) : 111 - 121
  • [30] Research and implementation of digital twin workshop based on real-time data driven
    Wei Y.
    Guo L.
    Chen L.
    Zhang H.
    Hu X.
    Zhou H.
    Li G.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (02): : 352 - 363