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 language | English |
|---|---|
| Title of host publication | 20th Congress of IABSE, New York City 2019 |
| Subtitle of host publication | The Evolving Metropolis - Report |
| Publisher | International Association for Bridge and Structural Engineering IABSE |
| Pages | 2214-2221 |
| ISBN (Print) | 978-1-5108-9537-9 |
| Publication status | Published - Oct 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | 20th IABSE Congress New York City 2019: The Evolving Metropolis - New York City, United States Duration: 4 Sep 2019 → 6 Sep 2019 |
Conference
| Conference | 20th IABSE Congress New York City 2019 |
|---|---|
| Country | United States |
| City | New York City |
| Period | 4/09/19 → 6/09/19 |
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Keywords
- Bridge information model
- Facility management
- Linked data
- Monitoring
- Ontology
Cite this
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Ontology-based sharing of structural health monitoring data. / Törmä, Seppo; Toivola, Pekka; Kiviniemi, Markku; Puntila, Päivi; Lampi, Mikko; Mätäsniemi, Teemu.
20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. International Association for Bridge and Structural Engineering IABSE, 2019. p. 2214-2221.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Ontology-based sharing of structural health monitoring data
AU - Törmä, Seppo
AU - Toivola, Pekka
AU - Kiviniemi, Markku
AU - Puntila, Päivi
AU - Lampi, Mikko
AU - Mätäsniemi, Teemu
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - Bridge information model
KW - Facility management
KW - Linked data
KW - Monitoring
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=85074453225&partnerID=8YFLogxK
M3 - Conference article in proceedings
AN - SCOPUS:85074453225
SN - 978-1-5108-9537-9
SP - 2214
EP - 2221
BT - 20th Congress of IABSE, New York City 2019
PB - International Association for Bridge and Structural Engineering IABSE
ER -