Augmented Reality to Visualize Digital Twins for Remote Final Acceptance Testing of Electrical Drives

Digital Twins are digital representations of real products, consisting of a Digital Master, which includes models like geometry models and inspection sheets, and a Digital Shadow, which contains data such as live sensor and simulation data. This enables real-time monitoring of both the product’s current and simulated states. Augmented Reality (AR) effectively visualizes this information. This paper presents a method for preparing Digital Twin data for mobile AR applications, supporting acceptance testing for electrical drives. The data is accessible on AR devices and streamed to web pages for remote access. Additionally, the paper evaluates the maturity of the presented Digital Twin concept.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.122
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Augmented Reality to Visualize Digital Twins for Remote Final Acceptance Testing of Electrical Drives

Rainer Stark, Nedim Kovacevic, Svenja Nicole Schulte
Procedia CIRP
Digital Transformation in Industry
article

Augmented Reality to Visualize Digital Twins for Remote Final Acceptance Testing of Electrical Drives

Rainer Stark, Nedim Kovacevic, Svenja Nicole Schulte
article en

Abstract

Digital Twins are digital representations of real products, consisting of a Digital Master, which includes models like geometry models and inspection sheets, and a Digital Shadow, which contains data such as live sensor and simulation data. This enables real-time monitoring of both the product’s current and simulated states. Augmented Reality (AR) effectively visualizes this information. This paper presents a method for preparing Digital Twin data for mobile AR applications, supporting acceptance testing for electrical drives. The data is accessible on AR devices and streamed to web pages for remote access. Additionally, the paper evaluates the maturity of the presented Digital Twin concept.

Procedia CIRPVol. 136
Technische Universität Berlin (DE)
European Regional Development Fund
Affordable and clean energy
Openalex Percentile: Top 68%
Digital Transformation in Industry
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