E-maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

Hu, M; Liu, Y

E-maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services

Hu, M Liu, Y

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Publisher:: Wiley
Publication Type:: Conference Proceeding
Citation:: Concurrency Computation, 2020, 32, (6)
Issue Date:: 2020-03-25

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Field	Value	Language
dc.contributor.author	Hu, M
dc.contributor.author	Liu, Y
dc.date.accessioned	2021-06-18T03:35:14Z
dc.date.available	2021-06-18T03:35:14Z
dc.date.issued	2020-03-25
dc.identifier.citation	Concurrency Computation, 2020, 32, (6)
dc.identifier.issn	1532-0626
dc.identifier.issn	1532-0634
dc.identifier.uri	http://hdl.handle.net/10453/149620
dc.description.abstract	As an important kind of infrastructure, a tunnel's life is estimated to be 100 years or more. During its service life, an effective maintenance strategy plays an essential role in keeping its availability and safety. Maintenance work involves a set of participants, activities, and resources, and in this case, tunnel-related data are distributed to heterogeneous information management systems in varying formats, bringing difficulties to implement effective maintenance. This paper proposes an E-maintenance Framework for Public Infrastructure (EFPI), combining Building Information Modeling (BIM), Industry Foundation Classes (IFC), and Semantic Web technologies to help integrate heterogeneous data and expert knowledge, enable information sharing through the whole life cycle, and support maintenance managers to make effective maintenance decisions. A cost estimation case is provided in this paper to illustrate the implementation mechanism and validate the proposed approach.
dc.language	en
dc.publisher	Wiley
dc.relation.ispartof	Concurrency Computation
dc.relation.isbasedon	10.1002/cpe.5204
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0803 Computer Software, 0805 Distributed Computing
dc.subject.classification	Distributed Computing
dc.title	E-maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services
dc.type	Conference Proceeding
utslib.citation.volume	32
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2021-06-18T03:35:05Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	32
utslib.citation.issue	6

Abstract:

As an important kind of infrastructure, a tunnel's life is estimated to be 100 years or more. During its service life, an effective maintenance strategy plays an essential role in keeping its availability and safety. Maintenance work involves a set of participants, activities, and resources, and in this case, tunnel-related data are distributed to heterogeneous information management systems in varying formats, bringing difficulties to implement effective maintenance. This paper proposes an E-maintenance Framework for Public Infrastructure (EFPI), combining Building Information Modeling (BIM), Industry Foundation Classes (IFC), and Semantic Web technologies to help integrate heterogeneous data and expert knowledge, enable information sharing through the whole life cycle, and support maintenance managers to make effective maintenance decisions. A cost estimation case is provided in this paper to illustrate the implementation mechanism and validate the proposed approach.

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http://hdl.handle.net/10453/149620