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Research Article
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Proposal of a Framework for Monitoring Building Evacuation and Fire-fighting Obstruction Objects using Point Cloud and BIM Model based on Image Depth Estimation
이미지 깊이 추정 기반 Point cloud 및 BIM 모델을 활용한 건축물 피난 및 소방 방해 적치물 모니터링 프레임워크 제안
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Yelim Shin, Yun-Gu Lee, Nam-Hyuk Ham, Jae-Jun Kim
신예림, 이윤구, 함남혁, 김재준
- This study proposes a monitoring system framework for fire compartments and firefighting facilities. Currently, inspections and maintenance of fire safety equipment largely …
- 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. - COLLAPSE
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Proposal of a Framework for Monitoring Building Evacuation and Fire-fighting Obstruction Objects using Point Cloud and BIM Model based on Image Depth Estimation
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Research Article
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Productivity and ROI Analysis by Design Phase based on BIM- Case Study on Small-Scale Design Offices -
BIM 중심 설계 업무의 단계별 생산성 및 ROI 분석 연구- 소규모 설계사무소를 중심으로 -
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Yong-Yeon Kim, Yun-Gu Lee, Nam-Hyuk Ham, Jae-Jun Kim
김용연, 이윤구, 함남혁, 김재준
- Although the adoption of Building Information Modeling (BIM) is increasingly emphasized due to the growing complexity and scale of the construction industry, …
- Although the adoption of Building Information Modeling (BIM) is increasingly emphasized due to the growing complexity and scale of the construction industry, the global and domestic use of BIM remains largely focused on regulatory compliance through transitional implementation. While economic factors are the primary barriers, clear benefits of BIM adoption have been identified, particularly for small-scale architectural firms in Korea. This study analyzes 26 case projects located within the same public housing district to quantitatively assess productivity and return on investment (ROI) across different design phases—schematic design (SD), design development (DD), and construction documentation (CD). Labor productivity was compared between 2D-based and BIM-based design approaches based on unit area cost. Additionally, ROI was calculated using a proposed phase-specific ROI formula to analyze (1) the ROI difference between 2D and BIM-based design and (2) changes in ROI relative to the number of years since BIM adoption. The findings indicate that BIM-based design exhibits lower productivity in early phases due to front-loaded tasks, but productivity consistently improves as the design phases progress, supported by increased data connectivity. While ROI remains negative during SD and DD, it shows a significant increase in the CD phase. Moreover, firms with longer BIM experience demonstrated higher and more stable ROI. This study contributes by presenting a practical phase-based ROI measurement method and providing quantitative indicators that clarify the value of BIM implementation in the design phase. The research concludes with a discussion of its implications and suggestions for future study. - COLLAPSE
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Productivity and ROI Analysis by Design Phase based on BIM- Case Study on Small-Scale Design Offices -
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Research Article
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Development of a Point Cloud-Based Surface Crack Simulation and Measurement Algorithm for Post-Construction Building Maintenance
건축물 사후관리를 위한 포인트 클라우드 기반 표면균열 시뮬레이션 및 측정 알고리즘 개발
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Tae-Hoon Kim, Tae-Woo Kim, Geun-Jae Kim, Seung-Yeon Choo
김태훈, 김태우, 김근재, 추승연
- Surface cracks in buildings are critical indicators of structural safety, and even minor defects may require immediate repair if they exceed regulatory …
- Surface cracks in buildings are critical indicators of structural safety, and even minor defects may require immediate repair if they exceed regulatory thresholds. Such cracks can signify underlying structural flaws or construction deficiencies, and may also cause psychological discomfort and practical inconvenience for occupants. In particular, comprehensive inspection of apartment buildings is challenging due to the large number of units and extensive surface area. Traditional visual inspections conducted by skilled personnel rely heavily on human experience and are inherently subjective. To address this issue, this study proposes a parametric method for measuring crack widths and determining whether they meet the criteria for critical defects. A quantitative standard for crack evaluation is presented, with a focus on identifying major cracks classified as critical. A parametric mock-up was developed for algorithm creation and validation. To identify cracks exceeding the critical threshold of 0.3 mm, specifications for 3D scanners and point cloud density were derived, and wall surfaces with simulated cracks were generated accordingly. Crack-related points were extracted, and the distances between them were measured using a parametric algorithm to determine the width of the crack. The algorithm was then validated by comparing the results against the critical defect threshold. Preprocessing steps in the point cloud acquisition process were excluded in this study, and non-orthogonal architectural forms were not considered. Future research will aim to automate initial crack detection and preprocessing using deep learning techniques, enhancing the practical application of this approach in post-construction building maintenance. - COLLAPSE
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Development of a Point Cloud-Based Surface Crack Simulation and Measurement Algorithm for Post-Construction Building Maintenance