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BIM 부재 및 IFC 클래스 간 시멘틱 매핑 검증을 위한 기계학습 기반 건축 부재 자동 분류
구본상(Bonsang Koo),유영수(Youngsu Yu),정래규(Raekyu Jung) (사)한국CDE학회 2018 한국CDE학회 논문집 Vol.23 No.4
With the growing use of BIM in the construction industry, new software applications are being developed to meet these specific needs. Such developments have increased the importance of the Industry Foundation Classes (IFC), which is the open and neutral format for sharing BIM data and the de facto standard for interoperability. However, the IFC lacks formal logic rigidness and thus is susceptible to errors and omissions during data transfers. This research addressed the issue by applying machine learning techniques to automatically classify elements of a BIM model, thereby allowing for classification checks as well as enriching the semantics of the model. Naïve Bayes, logistic regression and support vector machines (SVM) were trained and tested using 4,187 unique elements from six BIM models. Features included elements’ geometries and the relational semantics between elements. Results showed that SVM provided the highest accuracy at 0.9081 with geometry, and 0.9439 when adding semantics. The algorithms provide a way to accelerate integrity checks and model element classification required for quality control of BIM models.
국외 BIM 발주지침 분석을 통한 국내 토목 분야 BIM 가이드라인 개발 방향 제시에 관한 연구 - 싱가폴 토목 사업 과업지시서를 중심으로-
구본상(Koo, Bon-Sang)옥 현(Ok, Hyun),유영수(Yu, Young-Su),정래규(Jung, Rae-Kyu) 한국BIM학회 2018 KIBIM Magazine Vol.8 No.2
Recent increase in the interest and adoption of BIM for infrastructure projects has created a need for formal BIM guidelines in the civil engineering domain. Currently a BIM guideline has been developed in Korea exclusively for the road sector. However, the guideline has gaps in the specification of how BIM models should be generated, managed and applied for maximum effect in projects. This study reviewed the guidelines and tender documents of Singapore to determine potential improvements to adopt in Korea. Results showed that Korea s guideline should focus more on process integration as to stipulating BIM deliverables, encourage a common data environment, clearly distinguish between compulsory and selective BIM applications, and require data and models that can be leveraged in the operation phase of the facility.