한국BIM학회 논문집 (Journal of KIBIM)

  • 제14권3호
  • /
  • Pages.1-12
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  • 2024
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  • 2288-1697(pISSN)
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  • 2288-1697(eISSN)
한국BIM학회 (Korean Institute of Building Information Modeling)
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공간 사용률 기반 오피스 실 생성 자동화 방법론 개발

Development of Methodology for Automated Office Room Generation Based on Space Utilization

  • 송요안 (한국과학기술원 건설및환경공학과) ;
  • 장재영 (한국과학기술원 메타버스대학원) ;
  • 차승현 (한국과학기술원 문화기술대학원)
  • Song, Yoan ;
  • Jang, Jae Young ;
  • Cha, Seung Hyun
  • 투고 : 2024.07.04
  • 심사 : 2024.07.13
  • 발행 : 2024.09.30
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초록

Many efforts are being made to enhance user productivity and promote collaboration while ensuring the economic efficiency of office buildings. Analyzing space utilization, indicating how users utilize spaces, has been a crucial factor in these efforts. Appropriate space utilization enhances building maintenance and space layout design, reducing unnecessary energy waste and under-occupied spaces. Recognizing the importance of space utilization, there have been several studies to predict space utilization using information about users, activities, and spaces. These studies suggested an ontology of the information and implemented automated activity-space mapping as part of space utilization prediction. Despite the existing studies, there remains a gap in integrating space utilization prediction with automated space layout design. As a foundational study to bridge this gap, our study proposes a novel methodology that automatically generates office rooms based on space utilization optimization. This methodology consists of three modules: Activity-space mapping, Space utilization calculation, and Room generation. The first two modules use data on space types and user activity types as input to calculate and optimize space utilization through requirement-based activity-space mapping. After optimizing the space utilization value within an appropriate range, the number and area of each space type are determined. The Room generation module then automatically generates rooms with optimized areas and numbers. The practical application of the developed methodology is demonstrated, highlighting its effectiveness in fabricated case scenario. By automatically generating rooms with optimal space utilization, our methodology shows potential for expanding to automated generation of optimized space layout design based on space utilization.

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참고문헌

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