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.
Original language | English |
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Title of host publication | 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 460-467 |
ISBN (Electronic) | 978-1-7281-5635-4, 978-1-7281-5634-7 |
ISBN (Print) | 978-1-7281-5636-1 |
DOIs | |
Publication status | Published - Jun 2020 |
MoE publication type | A4 Article in a conference publication |
Event | 29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Netherlands Duration: 17 Jun 2020 → 19 Jun 2020 |
Publication series
Series | IEEE International Symposium on Industrial Electronics |
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ISSN | 2163-5137 |
Conference
Conference | 29th IEEE International Symposium on Industrial Electronics, ISIE 2020 |
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Abbreviated title | ISIE 2020 |
Country/Territory | Netherlands |
City | Delft |
Period | 17/06/20 → 19/06/20 |
Funding
This work was partially supported by Business Finland project SEED (grant 4153/31/2019.)
Keywords
- automation
- digital plant
- digital twins
- digitisation
- graph matching
- industry 4.0
- modelling and simulation
- plant design
- process industry