논문집

원문다운로드
논문명 공간정보 학습모델 기반 실내디자인 객체 모델링 자동화 접근방법/An Approach to Implementing Automated Modeling of Interior Design Object using Spatial Information Training Model
저자명 송재열(Song, Jaeyeol) ; 이진국(Lee, Jin-Kook)
발행사 한국실내디자인학회
수록사항 한국실내디자인학회 논문집  , Vol.29 No.2(통권 139호)
페이지 시작페이지(12) 총페이지(9)
ISSN 12297992
주제분류 계획및설계
주제어 실내디자인 객체; 공간정보 학습; 기계학습; 건물정보모델링; 조명객체 자동생성 Interior design objects; Spatial information training; Machine learning; Building information modeling (BIM); Automated generation of lighting objects
요약2 This paper describes an approach to developing automated interior design object modeling using a machine learning-based spatial information training model. In the conventional design process, designers have to interpret the information of a given space object to generate the appropriate design plan of interior design objects. Various algorithms with artificial intelligence techniques have been developed to automate the modeling process. However, they still need manual interpretation and input of information required to generate objects. The objective of this paper is to develop the automated modeling process of interior design objects using spatial information training model that supports to input the missing value. By utilizing a machine learning technique, the computer can inference the spatial information required to model the interior design objects. The spatial information training model also can help to fill out the missing information from the given building model, which contributes to alleviating problems of the manual input process. This paper present the automated interior design object modeling process by describing an implementation example of an automated layout system for ceiling light object. The automated layout system for ceiling light object is implemented as a plugin of BIM software and a case study is carried out to demonstrate the potential of the suggested process.
소장처 한국실내디자인학회