About: Ontology-Based Industrial Plant Description Supporting Simulation Model Design and Maintenance     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Industrial plants and processes are becoming very complex and sophisticated. Appropriate control algorithms, being necessary for their efficient operation, can be tested and fine-tuned on simulation models; for advanced process control the models are even necessary. Therefore, the fundamental precondition for control algorithm design is to implement and fine-tune a simulation model. Since plant description methods used nowadays are insufficient for describing modern flexible plants, this paper presents an ontology-based approach to the plant description. The proposed paradigm enables querying and inferring new pieces of knowledge. The solution supports the efficient integration of diverse engineering tools, such as simulators, SCADA systems, or even proprietary software used in particular projects. The proposed approach supports reasoning techniques and efficient utilization of domain specific languages for each engineer or expert. Ontologies comprise explicitly specified knowledge, enable to interchange it between automation tools and can guarantee consistency of the whole integrated solution. The presented approach can be used for both continuous and discrete systems, especially the large-scale ones. A practical example, describing a passive house with ontology individuals and generating a structure of a simulation model automatically by the implemented tool, is involved in this paper.
  • Industrial plants and processes are becoming very complex and sophisticated. Appropriate control algorithms, being necessary for their efficient operation, can be tested and fine-tuned on simulation models; for advanced process control the models are even necessary. Therefore, the fundamental precondition for control algorithm design is to implement and fine-tune a simulation model. Since plant description methods used nowadays are insufficient for describing modern flexible plants, this paper presents an ontology-based approach to the plant description. The proposed paradigm enables querying and inferring new pieces of knowledge. The solution supports the efficient integration of diverse engineering tools, such as simulators, SCADA systems, or even proprietary software used in particular projects. The proposed approach supports reasoning techniques and efficient utilization of domain specific languages for each engineer or expert. Ontologies comprise explicitly specified knowledge, enable to interchange it between automation tools and can guarantee consistency of the whole integrated solution. The presented approach can be used for both continuous and discrete systems, especially the large-scale ones. A practical example, describing a passive house with ontology individuals and generating a structure of a simulation model automatically by the implemented tool, is involved in this paper. (en)
Title
  • Ontology-Based Industrial Plant Description Supporting Simulation Model Design and Maintenance
  • Ontology-Based Industrial Plant Description Supporting Simulation Model Design and Maintenance (en)
skos:prefLabel
  • Ontology-Based Industrial Plant Description Supporting Simulation Model Design and Maintenance
  • Ontology-Based Industrial Plant Description Supporting Simulation Model Design and Maintenance (en)
skos:notation
  • RIV/68407700:21230/13:00209962!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 94085
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00209962
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Ontology; SCADA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3998B1EA11FE]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, Petr
  • Šindelář, R.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/IECON.2013.6700269
http://purl.org/ne...btex#hasPublisher
  • IEEE Industrial Electronic Society
https://schema.org/isbn
  • 978-1-4799-0224-8
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software