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Related Experiment Video

Updated: Sep 3, 2025

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
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Design, Modeling and Implementation of Digital Twins.

Mariana Segovia1, Joaquin Garcia-Alfaro1

  • 1Télécom SudParis, SAMOVAR, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This paper details the methodology for constructing Digital Twins (DTs), which are virtual models of physical objects. It covers designing, creating, and connecting physical and virtual elements for real-time data exchange and advanced system monitoring.

Keywords:
Industry 4.0control systemcyber-physical systemdigital modeldigital twinnetwork simulationsoftware simulationsystem simulation

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Area of Science:

  • Computer Science
  • Engineering
  • Information Technology

Background:

  • Digital Twins (DTs) are virtual representations of physical objects, enabling data exchange for monitoring and control.
  • DTs offer new business models by providing real-time system information and operational status.

Purpose of the Study:

  • To methodologically determine how to design, create, and connect physical objects with their virtual counterparts.
  • To explore the phases involved in Digital Twin construction, from requirements to verification.

Main Methods:

  • Focus on the methodological construction of Digital Twins.
  • Exploration of phases including functional requirement selection, architecture planning, integration, and verification.
  • Addressing real-time information exchange between physical components and DTs, including experimental platforms, protocols, and standards.

Main Results:

  • A structured approach to Digital Twin construction is presented.
  • The paper outlines the process of linking physical assets to their virtual models.
  • Methods for real-time data integration and verification are discussed.

Conclusions:

  • The study provides a comprehensive methodological framework for Digital Twin development.
  • It highlights the importance of real-time data exchange and standardized platforms.
  • Open challenges and future research directions in Digital Twin technology are identified.