Title
Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins
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.
Year
DOI
Venue
2020
10.1109/ISIE45063.2020.9152371
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Keywords
DocType
ISSN
industry 4.0,process industry,digitisation,automation,modelling and simulation,digital twins,graph matching,digital plant,plant design
Conference
2163-5137
ISBN
Citations 
PageRank 
978-1-7281-5636-1
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Seppo Sierla15414.59
Mohammad Azangoo200.68
Alexander Fay344.14
Valeriy Vyatkin41047152.80
Nikolaos Papakonstantinou5165.44