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Ontology-based sharing of structural health monitoring data

 Ontology-based sharing of structural health monitoring data
Auteur(s): , , , ,
Présenté pendant IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, publié dans , pp. 2213-2220
DOI: 10.2749/newyork.2019.2213
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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...
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Détails bibliographiques

Auteur(s): (VisuaLynk)
(VTT)
(Savcor)
(Savcor)
(Trimble Solutions)
(VTT)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Publié dans:
Page(s): 2213-2220 Nombre total de pages (du PDF): 8
Page(s): 2213-2220
Nombre total de pages (du PDF): 8
DOI: 10.2749/newyork.2019.2213
Abstrait:

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.

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