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contributor authorYuhan Niu
contributor authorWeisheng Lu
contributor authorKe Chen
contributor authorGeorge G. Huang
contributor authorChimay Anumba
date accessioned2017-12-30T13:05:20Z
date available2017-12-30T13:05:20Z
date issued2016
identifier other%28ASCE%29CP.1943-5487.0000550.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245498
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.
publisherAmerican Society of Civil Engineers
titleSmart Construction Objects
typeJournal Paper
journal volume30
journal issue4
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000550
page04015070
treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004
contenttypeFulltext


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