Ontology-based sharing of structural health monitoring data

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

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 proceeding › Conference article in proceedings › Scientific › peer-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 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
Number of pages	8
ISBN (Electronic)	9783857481659
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

Keywords

Bridge information model
Facility management
Linked data
Monitoring
Ontology

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@inproceedings{8b1f412f7b204ce688984c283473100e,

title = "Ontology-based sharing of structural health monitoring data",

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 = "Bridge information model, Facility management, Linked data, Monitoring, Ontology",

author = "Seppo T{\"o}rm{\"a} and Pekka Toivola and Markku Kiviniemi and P{\"a}ivi Puntila and Mikko Lampi and Teemu M{\"a}t{\"a}sniemi",

note = "Funding Information: This research belongs to a collaborative research project SmartBridgeFM (2017-2019), partially funded by Business Finland. Special thanks for City of Helsinki for providing the BrIMs of Crusell bridge. Publisher Copyright: {\textcopyright} 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 20th IABSE Congress New York City 2019 : The Evolving Metropolis ; Conference date: 04-09-2019 Through 06-09-2019",

year = "2019",

month = oct,

language = "English",

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publisher = "International Association for Bridge and Structural Engineering IABSE",

address = "Switzerland",

}

Törmä, S, Toivola, P, Kiviniemi, M, Puntila, P, Lampi, M & Mätäsniemi, T 2019, Ontology-based sharing of structural health monitoring data. in 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. International Association for Bridge and Structural Engineering IABSE, pp. 2214-2221, 20th IABSE Congress New York City 2019, New York City, United States, 4/09/19.

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

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AU - Törmä, Seppo

AU - Toivola, Pekka

AU - Kiviniemi, Markku

AU - Puntila, Päivi

AU - Lampi, Mikko

AU - Mätäsniemi, Teemu

N1 - Funding Information: This research belongs to a collaborative research project SmartBridgeFM (2017-2019), partially funded by Business Finland. Special thanks for City of Helsinki for providing the BrIMs of Crusell bridge. Publisher Copyright: © 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

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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.

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KW - Facility management

KW - Linked data

KW - Monitoring

KW - Ontology

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ER -