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논문명 개방형 BIM기반 개산견적을 위한 데이터 모델 구축 방안 / 공공발주 실적공사비를 위한 공종을 중심으로 / The Development of Data Model for Open BIM-Based Schematic Estimates - Focused on Construction Type for Actual Cost of Public Projects -
저자명 김한준(Kim, Han-Joon) ; 최중식(Choi, Jung-Sik) ; 김한샘(Kim, Han-Saem) ; 김인한(Kim, In-Han)
발행사 대한건축학회
수록사항 대한건축학회논문집 계획계, v.29 n.3 (2013-03)
페이지 시작페이지(61) 총페이지(10)
ISSN 12269093
주제분류 전산
주제어 건축정보모델 ; 개방형 BIM ; IFC ; 물량 산출 ; 개산견적 ; 공종코드//BIM(Building Information Modeling) ; Open BIM ; Industry Foundation Classes ; Quantity Take-off ; Schematic Estimates ; Construction Type Code
요약2 Recently, Buildings have been ordered larger, more complicated, and free form design. So the adoption of BIM technology is increasing the demand for large and complex construction of information for efficient management and utilization. Properties of BIM model can be used to automatically calculate quantities information in estimates field. This characteristic is expected to have a significant effect for the accuracy and reliability of the construction Cost estimates. This research is to develop a data model for Open BIM-based estimates to ensure accuracy and reliability, and improve interoperability of information. So studies of the overview of BIM-based QTO and estimates were researched. Also domestic and foreign BIM-based QTO and estimates case research were analyzed to draw out the implications to find a solution to the problems. Necessary properties requirements were drawn out by analyzing IDM and IFC spec was drawn out by analyzing MVD. Through these a method for Open BIM-based estimates was proposed. Also, to increase the application of the construction information classification system, domestic and foreign application of construction information classification systems were researched and analyzed. From the domestic research utilization the construction type classification of Public Procurement Service was selected as the most effective classification system and was applied. In addition “Code Generator” was developed and Pilot test model was applied to verify the data model and the availability of requirements was reviewed. With the variety of construction information classification systems that exist in the domestic construction industry, the method from this research can be applied into the domestic practical field.
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