Development of Large-capacity BIM Optimization and Augmented Reality Visualization Technology

Aung Pa Pa Win; Woonggyu Choi; Gichun Cha; Seunghee Park

doi:10.55785/JCAR.2.1.7

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2023 Vol.2, Issue 1 Preview Page Next Page

Development of Large-capacity BIM Optimization and Augmented Reality Visualization Technology 건설 대용량 BIM 모델 경량화 및 증강현실 시각화 기술 개발

14 April 2023. pp. 7-12

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Abstract

The construction industry builds and utilizes BIM models to efficiently manage collected data. In order to develop into the future construction industry through construction automation, visualization of construction information based on augmented reality (AR) that connects the real environment and the virtual world is essential. BIM combined with augmented reality enables real-time visualization and can improve decision-making and project processing efficiency. However, most BIM models in the field of architecture, engineering, and construction (AEC) are large and have many difficulties in expressing information in a web-based platform or AR device environment due to the vast amount of data. In order to efficiently visualize BIM data even with such limited resources, construction large-capacity BIM optimization algorithm for augmented reality visualization technology is developed in this study. As a result of laboratory experiments, the proposed algorithm maintained the characteristics of the original model while efficiently compressing the vertices, triangles, and file size of the geometric model while maintaining the overall shape of the model. The optimized model can visualize for AR device environments and is expected to be used as data visualization and augmented reality automation systems at construction sites.

Keywords

Building Information Modeling

Mesh Optimization

Augmented Reality

Visualization

건설업계에서는 수집된 데이터를 효율적으로 관리하기 위해 BIM 모델을 구축하여 활용하고 있다. 건설 자동화를 통해 미래 건설산업으로 발전하기 위해서는 현실 세계와 가상세계를 연결한 증강현실(AR) 기반의 건설정보 시각화는 필수적이다. 증강현실과 결합된 BIM은 실시간 시각화가 가능하고, 의사 결정 및 업무처리 효율성을 향상시킬 수 있다. 그러나, 건축, 엔지니어링, 건설분야의 대부분의 BIM 모델은 방대한 데이터로 인해 웹 기반 플랫폼이나 AR 디바이스 환경에서 정보를 표현하기에는 많은 어려움이 있다. 이처럼 한정된 자원에서도 BIM정보를 효율적으로 시각화 하기 위해, 본 연구에서는 건설 대용량 BIM 모델 경량화 알고리즘 및 증강현실 시각화 기술을 개발한다. 개발한 알고리즘은 실내실험을 통해 모델의 전체 형태를 유지하면서 기하학적 모델의 정점, 삼각형 및 파일 사이즈를 효율적으로 압축하면서도 원본 모델의 특성을 유지하였다. 경량화된 모델은 웹기반 플랫폼과 AR 디바이스 환경에서 최적화되었으며, 건설현장의 데이터 시각화와 증강현실 자동화 시스템으로 활용될 수 있기를 기대한다.

키워드

빌딩 정보 모델링(BIM)

메쉬 경량화

증강현실(AR)

시각화

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Information

Publisher :Korean Society of Automation and Robotics in Construction
Publisher(Ko) :(사)한국건설자동화·로보틱스학회
Journal Title :Journal of Construction Automation and Robotics
Journal Title(Ko) :건설자동화·로보틱스 논문집
Volume : 2
No :1
Pages :7-12
Received Date : 2023-03-08
Revised Date : 2023-03-17
Accepted Date : 2023-03-22
DOI :https://doi.org/10.55785/JCAR.2.1.7

Journal of Construction Automation and Robotics ISSN:2800-0552(Print) 2951-116X(Online) 건설자동화·로보틱스 논문집

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