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 proceedingConference contributionScientificpeer-review

3 Citations (Scopus)
121 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 languageEnglish
Title of host publicationProceedings of the 29th IEEE International Symposium on Industrial Electronics, ISIE 2020
PublisherIEEE
Pages460-467
Number of pages8
ISBN (Electronic)9781728156354
DOIs
Publication statusPublished - Jun 2020
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Industrial Electronics - Delft, Netherlands
Duration: 17 Jun 202019 Jun 2020
Conference number: 29
http://isie2020.org/

Publication series

NameProceedings of the IEEE International Symposium on Industrial Electronics
PublisherIEEE
ISSN (Print)2163-5137
ISSN (Electronic)2380-1395

Conference

ConferenceInternational Symposium on Industrial Electronics
Abbreviated titleISIE
CountryNetherlands
CityDelft
Period17/06/202019/06/2020
Internet address

Keywords

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

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