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DOI QR Code

건축 MEP 역설계 지침을 위한 라이다 기반 포인트 클라우드 데이터 자료 구조 및 프로세스 기초 연구

A Basic Study on Data Structure and Process of Point Cloud based on Terrestrial LiDAR for Guideline of Reverse Engineering of Architectural MEP

  • 김지은 (한국건설기술연구원 ICT융합연구소) ;
  • 박상철 (디솔루션스) ;
  • 강태욱 (한국건설기술연구원 ICT융합연구소)
  • Kim, Ji-Eun (Korea Institute of Civil engineering and Building Technology, ICT Convergence and Integration Research Institute) ;
  • Park, Sang-Chul (D Solutions Co., Ltd.) ;
  • Kang, Tae-Wook (Korea Institute of Civil engineering and Building Technology, ICT Convergence and Integration Research Institute)
  • 투고 : 2015.06.11
  • 심사 : 2015.08.06
  • 발행 : 2015.08.31

초록

최근 국내외 건설 분야에서 건축물 리노베이션 및 유지보수를 위한 BIM 적용이 활발해지는 추세이나, 상당수 기존 건축물이 현 상태를 반영하지 않은 2D 도면을 보유함에 따라 이를 바탕으로 한 BIM 모델 작성이 어려운 상황이다. 따라서 본 연구는 역설계 기술을 활용하고자, 건축 MEP 역설계 지침을 위한 포인트 클라우드 데이터 관련 데이터 구조 및 프로세스를 분석하고, 역설계 지침을 위한 고려사항을 도출하였다. 국내 시장에서 3차원 스캐닝 기술의 활발한 적용을 위해, 프로젝트 수행 초기 단계인 지상 라이다를 이용한 현장에 대한 데이터 취득, 취득 단계에서 얻은 포인트 클라우드 데이터의 기초 처리 및 프로세스 분석에 대해 연구 목적을 두고 있다.

Recently adoption of BIM technology for building renovation and remodeling has been increased in construction industry. However most buildings have trouble in 2D drawing-based BIM modeling, because 2D drawings have not been updated real situations continually. Applying reverse engineering, this study analysed the point cloud data structure and the process for guideline of reverse engineering of architectural MEP, and deducted the relating considerations. To active usage of 3D scanning technique in domestic, the objective of this study is to analyze the point cloud data processing from real site with terrestrial LiDAR and the process from data gathering to data acquisition.

키워드

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