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Automatic Generation of Pipelines Into a 3D Industrial Process Model
Department of Electrical Engineering and Automation, Aalto University.
Department of Electrical Engineering and Automation, Aalto University.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Department of Electrical Engineering and Automation, Aalto University.ORCID-id: 0000-0002-9315-9920
2017 (Engelska)Ingår i: IEEE Access, ISSN 2169-3536, Vol. 5, s. 26591-26603Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Simulation has become an established technique to support the design of complex, mechatronic or cyber-physical systems. Ideally, simulations should already be performed at an early design phase before high-cost design commitments are made, and the recent advances in the digitalization of design information open possibilities for automatic generation of simulation models. However, high-fidelity simulation model building depends on accurate data. In particular, first-principles models are desirable source information for simulations, but such models generally are not available at an early design stage. This paper investigates the automatic generation of first-principles 3-D models for piping intensive systems based on design information that is available at an early design stage, namely piping & instrumentation diagrams (P&ID). An algorithm is presented for the generation of such 3-D models based on machine-readable P&ID information. The main focus of the algorithm is the automatic generation of feasible pipelines into the 3-D models, so that the model has sufficient information, which can be exploited in further work to automatically generate high fidelity first-principles thermo-hydraulic simulations.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 5, s. 26591-26603
Nationell ämneskategori
Medieteknik
Forskningsämne
Distribuerade datorsystem
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URN: urn:nbn:se:ltu:diva-67381DOI: 10.1109/ACCESS.2017.2774835ISI: 000418881100044OAI: oai:DiVA.org:ltu-67381DiVA, id: diva2:1177067
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Validerad;2018;Nivå 2;2018-01-24 (andbra)

Tillgänglig från: 2018-01-24 Skapad: 2018-01-24 Senast uppdaterad: 2018-01-24Bibliografiskt granskad

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