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Article: Smart Construction Objects

TitleSmart Construction Objects
Authors
Issue Date2016
PublisherAmerican Society of Civil Engineers.
Citation
Journal of Computing in Civil Engineering, 2016, v. 30 n. 4, p. 04015070 How to Cite?
AbstractThe primary aim of this research is to define smart construction objects (SCOs), the fundamental building blocks of future construction. SCOs are construction resources (e.g., machinery, device, and materials) that are made smart by augmenting them with technologies conferring autonomy, awareness, and the ability to interact with their vicinity. This smartness can enable better decision making in construction. Understanding of SCOs, however, is still in its infancy. Informed by theories on ubiquitous computing and general smart objects, this paper first defines the panoramic and interconnected properties that differentiate SCOs from conventional construction objects. Second, representative scenarios of the use of SCOs are given to illustrate the new workflow with enhanced smartness in the future. Next, using prefabrication construction as an example, this paper further elaborates SCOs using Industry Foundation Classes Extensible Markup Language and exploring their software/hardware representations. This is the first-ever research to articulate canonical SCOs and their core properties, computing applications, and representations. More specific and applicable SCOs are compellingly desired as the future study. Properly linked to building information modeling and Internet of Things, SCOs can enable a safer, greener, more efficient, and more effective construction system that has ever been seen.
Persistent Identifierhttp://hdl.handle.net/10722/223852
ISSN
2015 Impact Factor: 1.855
2015 SCImago Journal Rankings: 1.219

 

DC FieldValueLanguage
dc.contributor.authorNiu, Y-
dc.contributor.authorLu, W-
dc.contributor.authorChen, K-
dc.contributor.authorHuang, GQ-
dc.contributor.authorAnumba, C-
dc.date.accessioned2016-03-18T02:29:58Z-
dc.date.available2016-03-18T02:29:58Z-
dc.date.issued2016-
dc.identifier.citationJournal of Computing in Civil Engineering, 2016, v. 30 n. 4, p. 04015070-
dc.identifier.issn0887-3801-
dc.identifier.urihttp://hdl.handle.net/10722/223852-
dc.description.abstractThe primary aim of this research is to define smart construction objects (SCOs), the fundamental building blocks of future construction. SCOs are construction resources (e.g., machinery, device, and materials) that are made smart by augmenting them with technologies conferring autonomy, awareness, and the ability to interact with their vicinity. This smartness can enable better decision making in construction. Understanding of SCOs, however, is still in its infancy. Informed by theories on ubiquitous computing and general smart objects, this paper first defines the panoramic and interconnected properties that differentiate SCOs from conventional construction objects. Second, representative scenarios of the use of SCOs are given to illustrate the new workflow with enhanced smartness in the future. Next, using prefabrication construction as an example, this paper further elaborates SCOs using Industry Foundation Classes Extensible Markup Language and exploring their software/hardware representations. This is the first-ever research to articulate canonical SCOs and their core properties, computing applications, and representations. More specific and applicable SCOs are compellingly desired as the future study. Properly linked to building information modeling and Internet of Things, SCOs can enable a safer, greener, more efficient, and more effective construction system that has ever been seen.-
dc.languageeng-
dc.publisherAmerican Society of Civil Engineers. -
dc.relation.ispartofJournal of Computing in Civil Engineering-
dc.rightsJournal of Computing in Civil Engineering. Copyright © American Society of Civil Engineers.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleSmart Construction Objects-
dc.typeArticle-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.emailHuang, GQ: gqhuang@hku.hk-
dc.identifier.authorityLu, W=rp01362-
dc.identifier.authorityHuang, GQ=rp00118-
dc.description.naturepostprint-
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000550-
dc.identifier.hkuros257345-
dc.identifier.volume30-
dc.identifier.issue4-
dc.identifier.spage04015070-
dc.identifier.epage04015070-
dc.publisher.placeUnited States-

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