Towards semantic facility data management

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

    Abstract

    Nowadays, facility management is realized with different information systems, which provide a comprehensive view for the management. Building Information Modelling (BIM) encompasses a computer model of a facility, which is utilized throughout the life-cycle of the building. To enable a more holistic view on facilities' conditions (e.g., energy efficiency, indoor environment, maintenance and repair) we present an approach which enhances the BIM model with semantic indoor measurement data. The enhanced semantic information provides more contextual information about the building; history of conditions, current conditions, and even predictions about the future conditions. In addition, the system ties facility users into the process of facility management by allowing them to view the current indoor conditions and give feedback about the conditions of the building. The resulting semantic facility data management approach was tested in an experiment in which the system was applied in a school building environment.
    Original languageEnglish
    Title of host publicationINTELLI 2014: The Third International Conference on Intelligent Systems and Applications
    PublisherInternational Academy, Research, and Industry Association IARIA
    Pages85-90
    ISBN (Print)978-1-61208-352-0
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event3rd International Conference on Intelligent Systems and Applications, INTELLI 2014 - Seville, Spain
    Duration: 22 Jun 201426 Jun 2014

    Conference

    Conference3rd International Conference on Intelligent Systems and Applications, INTELLI 2014
    Abbreviated titleINTELLI 2014
    Country/TerritorySpain
    CitySeville
    Period22/06/1426/06/14

    Keywords

    • facility management
    • semantic technologies
    • BIM
    • user-awareness
    • indoor conditions
    • sensor measurements

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