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Query-and-Response Digital Twin Framework using a Multi-domain, Multi-function Image Folio
  • +3
  • Kerry Sado,
  • Jarrett Peskar,
  • Austin R J Downey,
  • Herbert L Ginn,
  • Roger Dougal,
  • Kristen Booth
Kerry Sado
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA

Corresponding Author:[email protected]

Author Profile
Jarrett Peskar
Dept. of Mechanical Engineering, University of South Carolina, Columbia, USA
Austin R J Downey
Dept. of Mechanical Engineering, Dept. of Civil and Environmental Engineering, University of South Carolina, Columbia, USA
Herbert L Ginn
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA
Roger Dougal
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA
Kristen Booth
Dept. of Electrical Engineering, University of South Carolina, Columbia, USA

Abstract

In developing digital twins for power electronics converters and other power system components, selecting an appropriate representation type and level of abstraction is fundamental. The choice of representation should balance fidelity, computational cost, and objectives of the representation. Digital twins are generally given a single, specific representation task; however, various functions can be delegated to the digital twin to support, leaving room for ambiguity in the design of the digital twin. Digital twins can be designed with multi-domain and multi-functional capabilities, allowing them to adapt to diverse system domains and perform a variety of representation tasks. This approach allows the digital twin to be as specialized as the physical asset it serves. This study introduces a framework enabling the development of multi-domain, multi-functional digital twins, adaptable for use in various representation tasks. The framework utilizes a collection of digital images for an accurate depiction of different asset elements, ensuring a detailed yet unified digital twin. The framework is designed to analyze the assigned representation task and select the most suitable digital image for execution. Details on the development of the framework are provided and experimental results validate the effectiveness of the proposed framework.
31 Jan 2024Submitted to TechRxiv
05 Feb 2024Published in TechRxiv