Skip to content
Open access

Synchronizing aeronautical Digital Twins in complex stakeholder environments via 3D scanning

Jul 2026 · CEAS Aeronautical Journal · 0 citations · 10 references

TL;DR

3D scans enable precise documentation of the cabin interior and facilitates the iterative updating of the Digital Twin, which supports the planning and analysis of conversions as well as versioning of modifications.

Abstract

Digitalization in the aviation industry is driving the transition towards climate-neutral and more sustainable aircraft. A central focus of research is the Digital Twin, a virtual representation of the physical system that continuously collects operational data during operation in order to increase efficiency and optimize maintenance. A challenge arises when different stakeholders such as manufacturers, airlines and maintenance companies create independent Digital Twins, which leads to inconsistencies and contradicts the very idea of a single Digital Twin per system. Isolated IT environments prevent the possible synchronization of information. One approach to synchronizing geometric data is the use of 3D scans. As aircraft cabins are frequently refitted, digital 3D models are often incomplete, if they are available at all. By comparing scans with the initial Digital Twin, modifications can be recorded and updated even if no original data is available. This enables precise documentation of the cabin interior and facilitates the iterative updating of the Digital Twin, which supports the planning and analysis of conversions as well as versioning of modifications.

Read PDF

Similar papers

Open access Aug 2026

Automated Integration of NDT Data into Digital Twins for Aircraft Structure Inspection: Results from the AIRPASS Project

This abstract presents the outcomes of the AIRPASS project, a collaborative effort between Royal Netherlands Aerospace Centre (NLR) (an applied research organisation in the aerospace domain) and Bundeswehr Research Institute for Materials, Fuels and Lubricants (WIWeB) (an independent Bundeswehr research center which is...

Werner Jousma, Jasper Tabe Steringa, Geart Otten et al. · 0 citations
Open access Sep 2026

A 3D Location Framework for “Minimal Interoperability” for Data in Building Digital Twins—First Steps

This paper explores the potential of a location-enabled “minimal interoperability” framework as a stepping stone for data interoperability and integration in building Digital Twins, where location refers to the position of a feature in relation to a reference system.

C. Ellul, Pratibha Patel, Nikolaos Papapesios · 0 citations
Sep 2026

Efficient Bridge Geometric Digital Twinning Using a Parametric Bridge Generator

Geometric digital twinning is an essential step for the holistic storage, analysis, visualization, and interpretation of information about bridges from multiple modalities. Generally, accurate digital twinning depends on high-quality sensing data and the information extracted from such data, whereas the acquisition o...

Hua-Yong Wu, Rong-Xin Zhao, Weilei Yu et al. · 1 citation
Open access Aug 2026

See, Spawn, Synchronize: A Digital Twin Pipeline for Smart Production Cells

A digital twin of a smart production cell, synchronizing objects bidirectionally between a real and virtual workspace with minimal effort using only a single RGB-D camera is presented, providing a framework to see, spawn, and synchronize industrial workspaces.

M. Herrmann, Dominykas Strazdas, Ayoub Al-Hamadi · 0 citations
Open access Aug 2026

Composite Microservice Architecture of the Digital Twin

The goal of this study is to develop a conceptual composite architecture for an industrial digital twin, in which complex subsystems are viewed as highly interconnected and loosely coupled service components of a higher-order system.

E. Koltsova, Maksim Pysin, A. Lobanov et al. · 0 citations
Review Open access Aug 2026

Digital twins using NVIDIA Omniverse and OpenUSD: A proof-of-concept implementation

The results show that OpenUSD can host operationally relevant building semantics alongside spatial and operational content within a single scene, positioning Omniverse as an extensible foundation for the analytical, AI-assisted, and lifecycle-spanning workflows expected of next-generation facility operation.

Chady Elias, Raja R. A. Issa · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.