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Ontology-based sharing of structural health monitoring data

 Ontology-based sharing of structural health monitoring data
Author(s): , , , ,
Presented at IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, published in , 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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Bibliographic Details

Author(s): (VisuaLynk)
(VTT)
(Savcor)
(Savcor)
(Trimble Solutions)
(VTT)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Published in:
Page(s): 2213-2220 Total no. of pages: 8
Page(s): 2213-2220
Total no. of pages: 8
DOI: 10.2749/newyork.2019.2213
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.

Keywords:
monitoring facility management bridge information model linked data ontology

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