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Proposing a Quality Inspection Process Model Using Advanced Technologies for the Transition to Smart Building Constructionoa mark
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Publication Year
2023-01-01
Publisher
MDPI
Citation
Sustainability (Switzerland), Vol.15
Keyword
application programming interface (API)building information modeling (BIM)construction quality inspectionsmart building constructionsmart technologies
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and Law
Abstract
With advancements in new technologies in the industry, efforts have been made to adopt various smart devices during the life cycle of building construction. However, little attention has been paid to developing a work process model to maximize the benefits of smart technologies. While identifying the shortcomings of conventional quality inspection, this study configures a new quality inspection process model in collaboration with smart devices. Based on the proposal, the study developed a new tool that effectively improves the current quality inspection practice. The final goal of this research is to propose a novel inspection process model by developing an Application Programming Interface (API) system using Building Information Model (BIM) software. Additionally, to verify the applicability of the system, this study includes a case study on tile work and confirms the effects of a prototype of the proposed system through an expert survey. The survey results reveal that the proposed system is effective and practical. This research contributes to maximizing the effectiveness of using smart devices and supporting effective application in smart construction.
ISSN
2071-1050
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33174
DOI
https://doi.org/10.3390/su15010815
Fulltext

Type
Article
Funding
This research was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA), grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22ORPS-B158109-03).
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Cha, Hee Sung Image
Cha, Hee Sung차희성
Department of Architecture
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