Ontology-based sharing of structural health monitoring data

Seppo Törmä, Pekka Toivola, Markku Kiviniemi, Päivi Puntila, Mikko Lampi, Teemu Mätäsniemi

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

    1 Citation (Scopus)

    Abstract

    A structural health monitoring system installed in a bridge produces a vast amount of sensor data that is analyzed and periodically reported to a bridge owner at an aggregate level. The data itself typically remains in the monitoring service of a service provider; it may be accessible to clients and third parties through a dedicated user interface and API. This paper presents an ontology to defining the monitoring model based on the Semantic Sensor Network Ontology by W3C. The goal is to enable an asset owner to utilize preferred tools to view and access monitoring data from different service providers, and in longer term, increase the utilization of monitoring data in facility management. The ultimate aim is to use BrIM as a digital twin of a bridge and to link external datasets to improve information management and maintenance over its lifecycle.
    Original languageEnglish
    Title of host publication20th Congress of IABSE, New York City 2019
    Subtitle of host publicationThe Evolving Metropolis
    PublisherInternational Association for Bridge and Structural Engineering (IABSE)
    Pages2214-2221
    ISBN (Electronic)978-3-85748-165-9
    ISBN (Print)978-1-5108-9537-9
    DOIs
    Publication statusPublished - Oct 2019
    MoE publication typeA4 Article in a conference publication
    Event20th IABSE Congress New York City 2019: The Evolving Metropolis - New York City, United States
    Duration: 4 Sep 20196 Sep 2019

    Publication series

    SeriesIABSE Report
    Number114
    ISSN1025-9104

    Conference

    Conference20th IABSE Congress New York City 2019
    Country/TerritoryUnited States
    CityNew York City
    Period4/09/196/09/19

    Keywords

    • Bridge information model
    • Facility management
    • Linked data
    • Monitoring
    • Ontology

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