Remote Indoor Construction Progress Monitoring Using Extended Reality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Khairadeen Ali, Ahmed | - |
dc.contributor.author | Lee, One Jae | - |
dc.contributor.author | Lee, Doyeop | - |
dc.contributor.author | Park, Chansik | - |
dc.date.accessioned | 2021-11-26T07:40:18Z | - |
dc.date.available | 2021-11-26T07:40:18Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51902 | - |
dc.description.abstract | Construction Progress monitoring noticed recent expansions by adopting vision and laser technologies. However, inspectors need to personally visit the job-site or wait for a time gap to process data captured from the construction site to use for inspection. Recent inspection methods lacks automation and real-time data exchange, therefore, it needs inspection manpower for each job-site, the health risk of physical interaction between workers and inspector, loss of energy, data loss, and time consumption. To address this issue, a near real-time construction work inspection system called iVR is proposed; this system integrates 3D scanning, extended reality, and visual programming to visualize interactive onsite inspection for indoor activities and provide numeric data. The iVR comprises five modules: iVR-location finder (finding laser scanner located in the construction site) iVR-scan (capture point cloud data of job-site indoor activity), iVR-prepare (processes and convert 3D scan data into a 3D model), iVR-inspect (conduct immersive visual reality inspection in construction office), and iVR-feedback (visualize inspection feedback from job-site using augmented reality). An experimental lab test is conducted to verify the applicability of iVR process; it successfully exchanges required information between construction job-site and office in a specific time. This system is expected to assist Engineers and workers in quality assessment, progress assessments, and decision-making which can realize a productive and practical communication platform, unlike conventional monitoring or data capturing, processing, and storage methods, which involve storage, compatibility and time-consumption issues. | - |
dc.format.extent | 24 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Remote Indoor Construction Progress Monitoring Using Extended Reality | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/su13042290 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.13, no.4, pp 1 - 24 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000624807700001 | - |
dc.identifier.scopusid | 2-s2.0-85101865424 | - |
dc.citation.endPage | 24 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 13 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | virtual reality | - |
dc.subject.keywordAuthor | point cloud data | - |
dc.subject.keywordAuthor | building information modeling | - |
dc.subject.keywordAuthor | work inspection | - |
dc.subject.keywordAuthor | progress monitoring | - |
dc.subject.keywordAuthor | quality assurance inspection | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
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