이미지 깊이 추정 기반 Point cloud 및 BIM 모델을 활용한 건축물 피난 및 소방 방해 적치물 모니터링 프레임워크 제안

• 영문명: Proposal of a Framework for Monitoring Building Evacuation and Fire-fighting Obstruction Objects using Point Cloud and BIM Model based on Image Depth Estimation
• 발행기관: 한국BIM학회
• 저자명: 신예림(Yelim Shin) 이윤구(Yun-Gu Lee) 함남혁(Nam-Hyuk Ham) 김재준(Jae-Jun Kim)
• 간행물 정보: 『KIBIM Magazine』15권 2호, 1~14쪽, 전체 14쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2025.06.30

국문 초록

This study proposes a monitoring system framework for fire compartments and firefighting facilities. Currently, inspections and maintenance of fire safety equipment largely rely on manual, labor-intensive method, making it difficult to achieve real-time monitoring and efficient management through visual inspections alone. As a method, this study presents an image-based obstacle detection methodology using depth estimation within designated fire safety zones. The methodology was applied to a control space for feasibility assessment and further validated on an extended site. The proposed framework was applied to a single floor of H University, where obstacles within stairwells and physical spaces were accurately detected. The integration with BIM models enabled quantitative identification of risk elements through interference analysis. In result, This study presents a lightweight analytical framework that automatically detects obstructions and performs clash checks by aligning point clouds—generated from single-camera images—with BIM models. By selectively modeling only essential monitoring targets for the maintenance phase, the framework offers both practicality and scalability through automated clash detection processes.

목차

1. 서 론

2. 이론적 고찰

3. 연구 프레임 워크 도출

4. 적치물 인식 프레임워크 적용 가능성 분석

5. 사례 적용 및 분석

6. 결 론

감사의 글

References

키워드

빌딩정보모델 방화시설 깊이추정 시설물 유지관리 모니터링 시스템 BIM Fire Protection Facilities Depth Estimation Facility Management Moitoring