Comparison of data models for plant lifecycle information management

Pekka Siltanen, Antti Pärnänen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Several data models have been defined for enabling information interoperability during the process plant life cycle. The data models differ in details and their scopes are different, making it difficult to compare and evaluate them. While the importance of using commonly agreed standard data models has widely been accepted, the diversity of the models hinders companies from choosing between them when implementing e.g. data warehouses. In many cases this leads to implementing in-house, non-standard models. In this paper, criteria for evaluating and comparing data models are introduced. Five data models developed by international or national organizations are introduced and compared, based on the criteria.
    Original languageEnglish
    Title of host publicationLeading the Web in Concurrent Engineering
    Place of PublicationAmsterdam
    Pages346-353
    ISBN (Electronic)978-1-60750-194-7
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication
    Event13th ISPE International conference on concurrent engineering: research and applications - Antibes, France
    Duration: 18 Sep 200622 Sep 2006

    Publication series

    SeriesFrontiers in Artificial Intelligence and Applications
    Volume143
    ISSN0922-6389

    Conference

    Conference13th ISPE International conference on concurrent engineering: research and applications
    CountryFrance
    CityAntibes
    Period18/09/0622/09/06

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    Keywords

    • Plant modeling
    • interoperability
    • STEP
    • IFC
    • ISO 15926
    • AEX

    Cite this

    Siltanen, P., & Pärnänen, A. (2006). Comparison of data models for plant lifecycle information management. In Leading the Web in Concurrent Engineering (pp. 346-353). Frontiers in Artificial Intelligence and Applications, Vol.. 143