Abstract
Modular architectures for Industrial Augmented Reality (IAR) applications allow more flexibility and can lower the barrier of entry, compared to custom-built applications dominant today. This contribution presents a data management approach for such architectures. Work plans are converted into a presentation-independent format that can be consumed by the system. Based on available modules and capabilities, related data, like CAD models, images, or descriptions, are automatically converted into a format suitable for the modules responsible for presenting the content. This can include converting a CAD module into a tessellated format, but also generating a rendering in cases where 3D models cannot be display, e.g., in a projection-based AR experience.
In IAR applications, the position of the displayed content in the users surrounding is an important aspect. For industrial contexts, this mostly relates to presenting content at specific parts of larger assemblies. This contribution shows how different combination of existing AR tracking technologies, in addition to CAD data of such assemblies, can be used to setup flexible IAR systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Fite-Georgel, P.: Is there a reality in industrial augmented reality? International symposium on mixed and augmented reality, science and technology proceedings. IEEE (2011)
Lorenz, M., Knopp, S., Klimant, P.: Industrial Augmented Reality: Requirements for an augmented reality maintenance worker support system. In: Adjunct proceedings of the 2018 IEEE international symposium on mixed and augmented reality (Ismar), pp. 151–153 (2018)
Masoni, R., et al.: Supporting remote maintenance in industry 4.0 through augmented reality. Procedia Manufac. 11, 1296–1302 (2017)
Martinetti, A., Marques, H.C., Singh, S., van Dongen, L.: Reflections on the limited pervasiveness of augmented reality in industrial sectors. Appl. Sci. 9(16), 3382 (2019). https://doi.org/10.3390/app9163382
Egger, J., Masood, T.: Augmented reality in support of intelligent manufacturing – a systematic literature review. Comput. Ind. Eng. 140, 106195 (2020)
Masood, T., Egger, J.: Augmented reality in support of Industry 4.0—implementation challenges and success factors. Robot. Comput.-Integrat. Manufact. 58, 181–195 (2019). https://doi.org/10.1016/j.rcim.2019.02.003
Quandt, M., Knoke, B., Gorldt, C., Freitag, M., Thoben, K.-D.: General requirements for industrial augmented reality applications. Procedia CIRP 72, 1130–1135 (2018)
de Souza Cardoso, L.F., Mariano, F.C.M.Q., Zorzal, E.R.: A survey of industrial augmented reality. Comput. Indust. Eng. 139, 106159 (2019)
MacWilliams, A., Reicher, T., Klinker, G., Bruegge, B.: Design patterns for augmented reality systems. In: Proceedings of the international workshop exploring the design and engineering of mixed reality systems (MIXER), Funchal, Madeira, CEUR Workshop Proceedings, Stycze (2004)
Kuster, T., et al.: A Distributed architecture for modular and dynamic augmented reality processes. In: 2019 IEEE 17th international conference on industrial informatics (INDIN) (2019)
Neb, A., Brandt, D., Rauhöft, G., Awad, R., Scholz, J., Bauernhansl, T.: A novel approach to generate augmented reality assembly assistance automatically from cad models. Procedia CIRP 104, 68–73 (2021) (54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0.Johannes Egger, Tariq Masood. Augmented reality in support of intelligent manufacturing – a systematic literature review. Comput. Indust. Eng. 140, 106195 (2020))
Gors, D., Put, J., Vanherle, B., Witters, M., Luyten, K.: Semi-automatic extraction of digital work instructions from cad models. Procedia CIRP 97, 39–44 (2021) (8th CIRP Conference of Assembly Technology and Systems)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 IFIP International Federation for Information Processing
About this paper
Cite this paper
Siewert, J.L., Neges, M., Gerhard, D. (2024). A Data Management Approach for Modular Industrial Augmented Reality Applications. In: Danjou, C., Harik, R., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation. PLM 2023. IFIP Advances in Information and Communication Technology, vol 701. Springer, Cham. https://doi.org/10.1007/978-3-031-62578-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-62578-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-62577-0
Online ISBN: 978-3-031-62578-7
eBook Packages: Computer ScienceComputer Science (R0)
