aalto1 untyped-item.component.html
Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
8
Series
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020, pp. 460-467, Proceedings of the IEEE International Symposium on Industrial Electronics
Abstract
Ongoing standardization in Industry 4.0 supports tool vendor neutral representations of Piping and Instrumentation diagrams as well as 3D pipe routing. However, a complete digital plant model requires combining these two representations. 3D pipe routing information is essential for building any accurate first-principles process simulation model. Piping and instrumentation diagrams are the primary source for control loops. In order to automatically integrate these information sources to a unified digital plant model, it is necessary to develop algorithms for identifying corresponding elements such as tanks and pumps from piping and instrumentation diagrams and 3D CAD models. One approach is to raise these two information sources to a common level of abstraction and to match them at this level of abstraction. Graph matching is a potential technique for this purpose. This article focuses on automatic generation of the graphs as a prerequisite to graph matching. Algorithms for this purpose are proposed and validated with a case study. The paper concludes with a discussion of further research needed to reprocess the generated graphs in order to enable effective matching.
Description
Other note
Citation
Sierla, S, Azangoo, M, Fay, A, Vyatkin, V & Papakonstantinou, N 2020, Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins. in Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020., 9152371, Proceedings of the IEEE International Symposium on Industrial Electronics, IEEE, pp. 460-467, International Symposium on Industrial Electronics, Delft, Netherlands, 17/06/2020. https://doi.org/10.1109/ISIE45063.2020.9152371