A methodology for data collection and aggregation in population-based structural health monitoring ecosystems

D. R. Lim; A. J. Ferguson; D. S. Brennan; D. Hester; R. Woods

doi:10.3217/978-3-99161-057-1-133

A methodology for data collection and aggregation in population-based structural health monitoring ecosystems

D. R. Lim
, A. J. Ferguson
, D. S. Brennan
, D. Hester
, R. Woods

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Downloads (Pure)

Abstract

Population-based Structural Health Monitoring (PBSHM) provides insights based on data derived from comparing multiple structures' responses, providing a shift towards an integrated data domain. This presents significant challenges in data collection and integration of data across diverse structural populations, such as sensor systems, environmental data, and maintenance records and requires substantial engineering effort. This fragmentation of data across different formats and systems creates substantial engineering overhead when integrating new data sources, limiting the practical implementation of population-based approaches. This paper introduces a structured data flow architecture for systematic data collection and aggregation in PBSHM ecosystems by defining distinct functional components within the data collection process and enabling the structured integration of diverse data sources. The results establish a foundation for scalable PBSHM data collection, supporting the broader transition towards integrated structural health monitoring ecosystems.

Original language	English
Title of host publication	13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings
Editors	Lienhart Werner, Markus Krüger
Publisher	Technische Universität Graz
Pages	849-855
Number of pages	7
ISBN (Electronic)	9783991610571
DOIs	https://doi.org/10.3217/978-3-99161-057-1-133
Publication status	Published - 01 Sept 2025
Event	13th International Conference on Structural Health Monitoring of Intelligent Infrastructure - Graz University of Technology, Graz, Austria Duration: 01 Sept 2025 → 05 Sept 2025

Publication series

Name	International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings
ISSN (Electronic)	2564-3738

Conference

Conference	13th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Abbreviated title	SHMII-13
Country/Territory	Austria
City	Graz
Period	01/09/2025 → 05/09/2025

Keywords

population-based structural health monitoring (PBSHM)
data integration architecture
data collection
data aggregation

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10.3217/978-3-99161-057-1-133Licence: CC BY

A methodology for data collection and aggregation in population-based structural health monitoring ecosystems
Copyright 2025 The Authors. This is an open access conference proceedings published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 462 KBLicence: CC BY

Cite this

Lim, D. R., Ferguson, A. J., Brennan, D. S., Hester, D., & Woods, R. (2025). A methodology for data collection and aggregation in population-based structural health monitoring ecosystems. In L. Werner, & M. Krüger (Eds.), 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings (pp. 849-855). (International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings). Technische Universität Graz. https://doi.org/10.3217/978-3-99161-057-1-133

Lim, D. R. ; Ferguson, A. J. ; Brennan, D. S. et al. / A methodology for data collection and aggregation in population-based structural health monitoring ecosystems. 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings. editor / Lienhart Werner ; Markus Krüger. Technische Universität Graz, 2025. pp. 849-855 (International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings).

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Lim, DR, Ferguson, AJ, Brennan, DS, Hester, D & Woods, R 2025, A methodology for data collection and aggregation in population-based structural health monitoring ecosystems. in L Werner & M Krüger (eds), 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings, Technische Universität Graz, pp. 849-855, 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Graz, Austria, 01/09/2025. https://doi.org/10.3217/978-3-99161-057-1-133

A methodology for data collection and aggregation in population-based structural health monitoring ecosystems. / Lim, D. R.; Ferguson, A. J.; Brennan, D. S. et al.
13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings. ed. / Lienhart Werner; Markus Krüger. Technische Universität Graz, 2025. p. 849-855 (International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Lim, D. R.

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AB - Population-based Structural Health Monitoring (PBSHM) provides insights based on data derived from comparing multiple structures' responses, providing a shift towards an integrated data domain. This presents significant challenges in data collection and integration of data across diverse structural populations, such as sensor systems, environmental data, and maintenance records and requires substantial engineering effort. This fragmentation of data across different formats and systems creates substantial engineering overhead when integrating new data sources, limiting the practical implementation of population-based approaches. This paper introduces a structured data flow architecture for systematic data collection and aggregation in PBSHM ecosystems by defining distinct functional components within the data collection process and enabling the structured integration of diverse data sources. The results establish a foundation for scalable PBSHM data collection, supporting the broader transition towards integrated structural health monitoring ecosystems.

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Lim DR, Ferguson AJ, Brennan DS, Hester D , Woods R. A methodology for data collection and aggregation in population-based structural health monitoring ecosystems. In Werner L, Krüger M, editors, 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII-13 : Proceedings. Technische Universität Graz. 2025. p. 849-855. (International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings). doi: 10.3217/978-3-99161-057-1-133

A methodology for data collection and aggregation in population-based structural health monitoring ecosystems

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Keywords

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