Title: Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins
Authors: Sierla, Seppo
Azangoo, Mohammad
Fay, Alexander 
Vyatkin, Valeriy
Papakonstantinou, Nikolaos
Language: eng
Subject (DDC): 620 Ingenieurwissenschaften
Issue Date: 2020
Publisher: IEEE
Document Type: Conference Object
Page Start: 460
Page End: 467
Publisher Place: Piscataway
Conference: 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020 , Delft Netherlands
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.
Organization Units (connected with the publication): Automatisierungstechnik 
Publisher DOI: 10.1109/ISIE45063.2020.9152371
Appears in Collections:3 - Reported Publications

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