Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins

Seppo Sierla; Mohammad Azangoo; Alexander Fay; Valeriy Vyatkin; Nikolaos Papakonstantinou

doi:10.1109/ISIE45063.2020.9152371

Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins

Seppo Sierla, Mohammad Azangoo, Alexander Fay, Valeriy Vyatkin, Nikolaos Papakonstantinou

BA6403 Cybersecurity engineering and automation

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

25 Citations (Scopus)

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
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	https://doi.org/10.1109/ISIE45063.2020.9152371
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
ISSN	2163-5137

Conference

Conference	29th IEEE International Symposium on Industrial Electronics, ISIE 2020
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISIE45063.2020.9152371

Cite this

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 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) (pp. 460-467). Article 9152371 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ISIE45063.2020.9152371

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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.",

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author = "Seppo Sierla and Mohammad Azangoo and Alexander Fay and Valeriy Vyatkin and Nikolaos Papakonstantinou",

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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 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)., 9152371, IEEE Institute of Electrical and Electronic Engineers, IEEE International Symposium on Industrial Electronics, pp. 460-467, 29th IEEE International Symposium on Industrial Electronics, ISIE 2020, Delft, Netherlands, 17/06/20. https://doi.org/10.1109/ISIE45063.2020.9152371

Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins. / Sierla, Seppo; Azangoo, Mohammad; Fay, Alexander et al.
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). IEEE Institute of Electrical and Electronic Engineers, 2020. p. 460-467 9152371 (IEEE International Symposium on Industrial Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Azangoo, Mohammad

AU - Fay, Alexander

AU - Vyatkin, Valeriy

AU - Papakonstantinou, Nikolaos

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

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KW - digital twins

KW - digitisation

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KW - industry 4.0

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KW - process industry

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T3 - IEEE International Symposium on Industrial Electronics

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PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 29th IEEE International Symposium on Industrial Electronics, ISIE 2020

Y2 - 17 June 2020 through 19 June 2020

ER -

Sierla S, Azangoo M, Fay A, Vyatkin V, Papakonstantinou N. Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins. In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). IEEE Institute of Electrical and Electronic Engineers. 2020. p. 460-467. 9152371. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE45063.2020.9152371

Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

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