• 한국BIM학회 논문집
• /
• 제9권4호
• /
• pp.31-40
• /
• 2019

With Building Information Modeling(BIM) becoming the de facto standard for data sharing in the AEC industry, additional needs have increased to ensure the data integrity of BIM models themselves. Although the Industry Foundation Classes provide an open and neutral data format, its generalized schema leaves it open to data loss and misclassifications This research applied deep learning to automatically classify BIM elements and thus check the integrity of BIM-to-IFC mappings. Multi-view CNN(MVCC) and PointNet, which are two deep learning models customized to learn and classify in 3 dimensional non-euclidean spaces, were used. The analysis was restricted to classifying subtypes of architectural walls. MVCNN resulted in the highest performance, with ACC and F1 score of 0.95 and 0.94. MVCNN unitizes images from multiple perspectives of an element, and was thus able to learn the nuanced differences of wall subtypes. PointNet, on the other hand, lost many of the detailed features as it uses a sample of the point clouds and perceived only the 'skeleton' of the given walls.

• 한국CDE학회논문집
• /
• 제15권4호
• /
• pp.289-296
• /
• 2010

Energy consumption by buildings accounts for a large part of the world‘s energy consumption. Methods to analyze building energy consumption before construction have been studied for decades. With BIM (Building Information Modeling) technology, architects can easily export building information to data models in order to analyze the design‘s effect on building energy efficiency. Although several BIM-based energy simulation applications are currently available, utilizing these applications for energy efficiency simulation is difficult. In this paper, by comparing existing BIM-based energy applications, the authors test the building energy efficiencies estimated by some BIM models, offer ideas and solutions to problems that appeared during the test process and propose new methods for BIM-based energy evaluation based on quantitative factors.

• 한국BIM학회 논문집
• /
• 제3권4호
• /
• pp.11-18
• /
• 2013

Modular technology has become a major issue of the construction industries to enhance their productivity. Modular bridge construction generally requires the collaboration between the contractor, designer, fabricator and constructor. Therefore, a readily accessible information model based on BIM technology should be provided for their communication during a construction project life-cycle. In this study, BIM based 3D information modeling was carried out for the modular bridge pier. First, the product breakdown structure (PBS) and level of detail (LOD) of the pier were defined. Based on them, 3D models were created by using parametric modeling method. In addition, database was constructed for the exchange of geometry and property data of 3D models. Finally, application areas of 3D information model were suggested, including the quantity estimation and the 4D simulation.

• 한국BIM학회 논문집
• /
• 제13권4호
• /
• pp.13-25
• /
• 2023

Recently, interest in the necessity and practical application of BIM (Building Information Modeling) is also increasing in the civil engineering field. However, there are difficulties in building BIM models and utilizing BIM modeling in the civil engineering field due to various reasons. To this end, it is necessary to develop management tools and research on management methods that can effectively utilize the BIM library in the civil engineering field. Libraries in the civil engineering field are complementary to each other, so library management in consideration of library management in various combinations and continuous updates is important. BIM library management was proposed through the development of a management tool that reflects these characteristics, which is expected to contribute to improving productivity in the field of civil design.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.641-642
• /
• 2015

Unlike for other building processes, BIM for earthwork does not need a large variety of 3D model shapes; however, it requires a 3D model that can efficiently reflect the changing features of the ground shape and provide soil type-dependent workload calculation and information on equipment for optimal management. Objects for earthwork have not yet been defined because the current BIM system does not provide them. The BIM technology commonly applied in the manufacturing center uses real-object data obtained through 3D scanning to generate 3D parametric solid models. 3D scanning, which is used when there are no existing 3D models, has the advantage of being able to rapidly generate parametric solid models. In this study, A method to generate 3D models for earthwork operations using reverse engineering is suggested. 3D scanning is used to create a point cloud of a construction site and the point cloud data are used to generate a surface model, which was then converted into a parametric model with 3D objects for earthwork

• Spatial Information Research
• /
• 제20권6호
• /
• pp.99-107
• /
• 2012

최근 건설데이터를 활용하는 BIM과 공간데이터를 활용하는 GIS 간의 통합 및 연계를 시도하려는 연구가 많이 이루어지고 있다. 하지만, BIM과 GIS의 데이터모델이 서로 너무 다른 특징을 가지고 있어 두 데이터모델 간의 통합을 통한 상호운용은 매우 어려운 실정이다. 따라서 본 연구에서는 BIM과 GIS의 효율적인 상호운용성을 시스템적으로 확보하기 위한 BIM과 GIS 상호운용 플랫폼을 설계하여 제시한다. 그리고 기존의 상용 소프트웨어들을 분석하여 본 연구에서 제안한 플랫폼에 필요한 요소기술과 기능들을 정의하여 제시한다.

• 한국BIM학회 논문집
• /
• 제12권3호
• /
• pp.30-38
• /
• 2022

Railway is compsed in various components, such as subgrade, track bed, sleeper, rail, and overhead line, on a linear space. Therefore, comprehensive work for various design standards and guidelines is required when designing a railway facility. For this reason, much time and effort are required to review the relevant design standards and guidelines. While, automatic legal check system for BIM models has been developed in the architectural engineering, it has not been developed in the railway engineering. This study reviews the korean design standard and the korean code for railway engineering, and suggests some rule items of logical information. Comparing the suggested rule items to the railway BIM library, items of logical information and additional attribute information are obtained. The analysis results of railway design standards and BIM library presented in this study would be utilized for defining rule-set items that is essential for development of the automatic legal check system for railway BIM models.

• Journal of Computational Design and Engineering
• /
• 제2권1호
• /
• pp.16-25
• /
• 2015

Since construction projects are large and complex, it is especially important to provide concurrent construction process to BIM models with construction automation. In particular, the schematic Quantity Take-Off (QTO) estimation on the BIM models is a strategy, which can be used to assist decision making in just minutes, because 70-80% of construction costs are determined by designers' decisions in the early design stage. This paper suggests a QTO process and a QTO prototype system within the building frame of Open BIM to improve the low reliability of estimation in the early design stage. The research consists of the following four steps: (1) analyzing Level of Detail (LOD) at the early design stage to apply to the QTO process and system, (2) BIM modeling for Open BIM based QTO, (3) checking the quality of the BIM model based on the checklist for applying to QTO and improving constructability, and (4) developing and verifying a QTO prototype system. The proposed QTO system is useful for improving the reliability of schematic estimation through decreasing risk factors and shortening time required.

• 한국건설관리학회논문집
• /
• 제23권3호
• /
• pp.45-55
• /
• 2022

BIM의 도입에 따라 공간이 개별 객체로 인식되면서 객체화된 공간의 속성정보는 법규검토, 에너지 분석, 피난 경로 분석 등을 위한 기반 데이터로 사용 가능하기에 BIM의 활용성을 넓힐 수 있는 발판을 마련하였다. 그러나 BIM 모델 내 개별 공간 속성의 오기입이나 누락이 없는 시멘틱 무결성(semantic integrity)이 보장되어야 하는데, 다수의 참여자에 의한 수작업으로 진행되는 BIM 모델링 과정 특성 상 설계 오류가 빈번히 발생한다는 문제점이 존재한다. 이를 해결하기 위해 BIM 모델의 공간 정합성 검증을 위한 연구가 다수 진행되었으나, 적용 범위가 한정적이거나 분류 정확도가 낮은 한계점이 존재하였다. 본 연구에서는 공간의 기하정보 뿐 아니라 BIM 모델 내 공간과 부재 간 연결 관계를 Graph Convolutional Networks (GCN) 학습과정에 활용하여 향상된 성능의 공간 자동 분류모델을 구축하고자 하였다. 구축된 GCN 기반 모델의 성능을 공간의 기하정보만으로 학습된 기계학습 모델인 Multi-Layer Perceptron (MLP)과 비교하여 공간 분류 시 연결 관계 적용의 효용성을 검증하고자 하였다. 이를 통해 관계정보 활용 시 약 8% 내외 수준으로 공간 분류 성능이 향상되는 것으로 확인되었다.

• 대한토목학회논문집
• /
• 제34권2호
• /
• pp.677-685
• /
• 2014

최근 건설 산업은 BIM (Building Information Modeling)의 도입으로 인하여 많은 혜택을 얻고 있다. 하지만 도로나 철도와 같은 선형기반 설계공종의 경우는 구간별 표준횡단면의 정의와 선형의 배치를 통한 서피스(surface)모델을 생성함으로써 3차원 설계가 이루어지나, 현재 설계 소프트웨어에서 제공되는 횡단면 설계요소가 제한적이거나 국내실정에 맞지 않은 점이 많고, 생성된 서피스모델은 선형구간의 시 종점에 대해 일체화 되어있어 공정, 물량, 단가 등의 BIM 소요정보와 세분화된 연계를 위해서는 모델 수정 등의 많은 후속작업이 필요하다. 본 논문에서는 이러한 문제점을 해결하기 위하여 3D 선형기반설계가 적용되는 사회기반시설물을 대상으로 3차원 모델의 분절 및 속성정보의 운용이 자유로운 '선형기반 인프라시설물을 위한 Flexible BIM 시스템'의 설계를 통하여 BIM의 활용성을 극대화 하는 것을 목표로 한다.