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Best Practice on Inspecting the Abnormal State of Bridge (Engineering works) Establishment with Augmented Reality (AR) Mechanism

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.15 No.2 (2023.05)바로가기
  • 페이지
    pp.168-174
  • 저자
    Janghwan Kim, So Young Moon, R. Young Chul Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A430791

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원문정보

초록

영어
In the current world, with the massive scale of SOC construction, it is difficult to diagnose and check all of a bridge's abnormal states with even the experts' eyes for maintenance. It is because we should spend huge costs and time on maintenance. Still, there are not many alternative ways to inspect bridges remotely regarding accuracy or reality. Therefore, we remark on the advantages and disadvantages of previous methods through practices in SOC maintenance. To inspect the abnormal state of the Bridge, we suggest inspecting bridges with an Augmented Reality (AR) mechanism to reduce cost, human resource consumption, and the risk of work. Through the proposed approach, we expect that it provides ways to solve massive construction problems with software-based technologies.

목차

Abstract
1. Introduction
2. Related Works
2.1 Smart Infrastructure Technologies (Smart City Project in Australia)
2.2 The Living Bridge Project (United States)
2.3 Self-Repairing Cities Project: United Kingdom
3. Inspecting the Abnormal State of Bridge Establishment with an Augmented Reality (AR) MechanismFigure 4. Facility Safety Inspection Diagnosis ProcessLarge-scale projects apply processes to eliminate potential safety hazards for efficient and safe SOCmaintenance and
3.1 Database Indexing Mechanism with Building Information Modeling Method
3.2 DB Indexing Mechanism with Building Information Object for Cheong-dam bridge
4. Conclusion
Acknowledgment
References

키워드

Augmented Reality Building Information Modeling Social Overhead Capital

저자

  • Janghwan Kim [ Ph.D. candidate, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea ]
  • So Young Moon [ Ph.D. Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik 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

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.15 No.2

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