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

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

22 Citations (Scopus)

332 Downloads (Pure)

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	Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020
Publisher	IEEE
Pages	460-467
Number of pages	8
ISBN (Electronic)	9781728156354
DOIs	https://doi.org/10.1109/ISIE45063.2020.9152371
Publication status	Published - Jun 2020
MoE publication type	A4 Conference publication
Event	International Symposium on Industrial Electronics - Delft, Netherlands Duration: 17 Jun 2020 → 19 Jun 2020 Conference number: 29 http://isie2020.org/

Publication series

Name	Proceedings of the IEEE International Symposium on Industrial Electronics
Publisher	IEEE
ISSN (Print)	2163-5137
ISSN (Electronic)	2380-1395

Conference

Conference	International Symposium on Industrial Electronics
Abbreviated title	ISIE
Country/Territory	Netherlands
City	Delft
Period	17/06/2020 → 19/06/2020
Internet address	http://isie2020.org/

Keywords

Industry 4.0
Process industry
Digitisation
Automation
Modelling and simulation
Digital twin
Graph matching
Digital plant
Plant design

Access to Document

10.1109/ISIE45063.2020.9152371

ELEC_Sierla_etal_Integrating_2D_and_3D_Digital_Plant_Information_Towards_Automatic_Generation_of_Digital_Twins_ISIE2020Accepted author manuscript, 2 MB

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 Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020 (pp. 460-467). Article 9152371 (Proceedings of the IEEE International Symposium on Industrial Electronics). IEEE. https://doi.org/10.1109/ISIE45063.2020.9152371

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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.",

keywords = "Industry 4.0, Process industry, Digitisation, Automation, Modelling and simulation, Digital twin, Graph matching, Digital plant, Plant design",

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

year = "2020",

month = jun,

doi = "10.1109/ISIE45063.2020.9152371",

language = "English",

series = "Proceedings of the IEEE International Symposium on Industrial Electronics",

publisher = "IEEE",

pages = "460--467",

booktitle = "Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020",

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note = "International Symposium on Industrial Electronics, ISIE ; Conference date: 17-06-2020 Through 19-06-2020",

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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 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

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

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

TY - GEN

T1 - Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins

AU - Sierla, Seppo

AU - Azangoo, Mohammad

AU - Fay, Alexander

AU - Vyatkin, Valeriy

AU - Papakonstantinou, Nikolaos

N1 - Conference code: 29

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.

KW - Industry 4.0

KW - Process industry

KW - Digitisation

KW - Automation

KW - Modelling and simulation

KW - Digital twin

KW - Graph matching

KW - Digital plant

KW - Plant design

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DO - 10.1109/ISIE45063.2020.9152371

M3 - Conference article in proceedings

T3 - Proceedings of the IEEE International Symposium on Industrial Electronics

SP - 460

EP - 467

BT - Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020

PB - IEEE

T2 - International Symposium on Industrial Electronics

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 Proceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020. IEEE. 2020. p. 460-467. 9152371. (Proceedings of the 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

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SEED: Solid value of digitalisation in forest industry

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SEED: Solid value of digitalisation in forest industry

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