한국건축시공학회지 (Journal of the Korea Institute of Building Construction)

  • 제24권4호
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  • Pages.471-482
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  • 2024
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  • 1598-2033(pISSN)
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  • 2233-5706(eISSN)
한국건축시공학회 (The Korean Institute of Building Construction)
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IPA 분석을 통한 3차원 스캐닝의 모듈러 건축 프로젝트 품질관리 적용에 관한 연구

An IPA-based Evaluation of 3D Scanning Technology Application for Quality Control in Modular Construction Projects

  • 이정훈
  • Lee, Jeong-Hoon (Major in Architectural Systems Engineering School of Architectural Engineering, Gyeongsang National University)
  • 투고 : 2024.07.01
  • 심사 : 2024.07.17
  • 발행 : 2024.08.20
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초록

모듈러 건축은 스마트 건설방법 중 하나로 건설산업 혁신을 위한 필수적인 공법이 되고 있다. 모듈러 건축의 스마트 건설 실현에 필요한 가장 기초적인 전제 조건 중 하나가 품질관리이며 이를 위해 3차원 스캐닝을 이용한 품질관리 방안에 대한 관심이 높다. 본 연구는 모듈러 건축 프로세스 단계별(공장제작, 운송, 현장시공) 주요 공사를 대상으로 IPA분석을 통해 3차원 스캐닝을 이용한 모듈러 건축물의 품질관리에 대한 현황을 분석하고 이를 개선하기 위한 방안을 제시하였다. 그 결과, 대부분의 항목에서 3차원 스캐닝 데이터 활용에 대한 필요성과 중요성이 높다는 것을 확인할 수 있었으며, 일부 현장 적용성이 낮은 항목들에 대해서는 추후 기술개발 및 적용성 개선이 필요한 것을 알 수 있었다. 본 연구결과는 향후 모듈러 건축 품질관리를 위한 첨단 시공 기술 적용에 대한 연구에 활용할 수 있다.

Modular construction, a prominent method in the evolving construction industry, necessitates robust quality control for successful implementation. This study investigates the potential of 3D scanning technology for enhancing quality control processes in modular building construction. Through an IPA analysis of major construction projects across factory production, transportation, and on-site stages, the study evaluates the current state of 3D scanning application in modular construction quality control. Results indicate a high demand for 3D scanning data across various quality control aspects. However, certain limitations in technology and practical application were identified. The findings of this research contribute to the advancement of 3D scanning technology in modular construction and inform future research on cutting-edge quality control strategies.

키워드

과제정보

This results was supported by "Regional Innovation Strategy(RIS)" through the Natinal Research Foundation of Korea (NRF) funded by the Ministry of Education(MOE)(Assignment Number: 2021RIS-003).

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