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Indexing Sectioned BIM Models for Mapping Crack with BIM 3D Model

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.16 No.1 (2024.03)바로가기
  • 페이지
    pp.140-147
  • 저자
    Young-Soo Kim, Gyeong Chan Mun, Janghwan Kim, Sam-Hyun Chun, R. Young Chul Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A445419

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원문정보

초록

영어
In Current artificial structures, we must periodically make their safety inspections. In this process, we should consider the safety of workers and the accuracy of safety checks and also consider time and cost savings for safety inspections. Additionally, in the fields of architecture and civil engineering, we are unavoidable the use of foreign commercialized BIM model tools. To address these challenges, we propose mapping crack areas and BIM 3D design drawings based on augmented reality (AR) for the safety inspection of Huge Bridges. For this purpose, we define indexing of 2D/3D drawing models, create the tabulation of all 2D/3D drawings into a database, analyze QR codes, and finally integrate with augmented reality devices. we may expect our method to improve the efficiency of safety inspections on bridge sites. Moreover, we will enable the domestics of our pure technology.

목차

Abstract
1. Introduction
2. Related Works
2.1. Classification Code’s Definition and DB Table Normalization
2.2. QR Code Tracking Application
3. Indexing BIM 3D Model
3.1. Mapping Using Trimble Connect
3.2. Mapping Using IFC Converter
3.3. Indexing the Sectioned BIM 3D Models
4. Case Study
4. Conclusion
Acknowledgement
References

키워드

Augmented Reality (AR) Safety Inspection Building Information Modeling (BIM) QR code Mapping Technique.

저자

  • Young-Soo Kim [ A.I Semiconductor Team Director, National IT Industry Promotion Agency, Republic of Korea ]
  • Gyeong Chan Mun [ M.S. Candidate, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea ]
  • Janghwan Kim [ PhD. Candidate, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea ]
  • Sam-Hyun Chun [ Professor, Dept. of Law, Soongsil University, Republic of Korea ]
  • R. Young Chul Kim [ Professor, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

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