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Applying graph matching techniques to enhance reuse of plant design information

Rantala, Miia (author)
Semantum Oy, Espoo, Finland
Niemistö, Hannu (author)
Semantum Oy, Espoo, Finland
Karhela, Tommi (author)
Semantum Oy, Espoo, Finland; Aalto University, Helsinki, Finland
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Sierla, Seppo (author)
Aalto University, Helsinki, Finland
Vyatkin, Valeriy (author)
Luleå tekniska universitet,Datavetenskap
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 (creator_code:org_t)
Elsevier, 2019
2019
English.
In: Computers in industry (Print). - : Elsevier. - 0166-3615 .- 1872-6194. ; 107, s. 81-98
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This article investigates how graph matching can be applied to process plant design data in order to support the reuse of previous designs. A literature review of existing graph matching algorithms is performed, and a group of algorithms is chosen for further testing. A use case from early phase plant design is presented. A methodology for addressing the use case is proposed, including graph simplification algorithms and node similarity measures, so that existing graph matching algorithms can be applied in the process plant domain. The proposed methodology is evaluated empirically on an industrial case consisting of design data from several pulp and paper plants. 

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Design reuse
Engineering design
Inexact graph matching
Node similarity
Process plant
Pulp and paper
Dependable Communication and Computation Systems
Kommunikations- och beräkningssystem

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ref (subject category)
art (subject category)

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