• 한국CDE학회논문집
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• 제18권2호
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• pp.83-92
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• 2013

IFC based open BIM has internationally developed as a solution for interoperability problem among different software applications. Despite much interest and effort, the open BIM technologies are rarely introduced to the construction industry and need more technical development for a practical application as well. This research aims to develop automated code checking modules for quality assurance process of BIM data. The research have analyzed domestic regulations focusing on super-tall buildings and developed open BIM-based code checking modules for the evacuation regulations. The modules are able to validate evacuation regulations such as installation of emergency elevator and fire safety zone. The authors expect to improve the process of BIM quality assurance and enhance the quality of BIM data by this research on automated checking system.

• 한국BIM학회 논문집
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• 제14권3호
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• pp.22-30
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• 2024

Recently, LLM (Large Language Model), a rapidly developing generative AI technology, is receiving much attention in the smart construction field. This study proposes a methodology for implementing an knowledge expert system by linking BIM (Building Information Modeling), which supports data hub functions in the smart construction domain with LLM. In order to effectively utilize LLM in a BIM expert system, excessive model learning costs, BIM big data processing, and hallucination problems must be solved. This study proposes an LLM-based BIM expert system architecture that considers these problems. This study focuses on the RAG (Retrieval-Augmented Generation) document generation method and search algorithm for effective BIM data retrieval, with the goal of implementing an LLM-based BIM expert system within a small GPU resource. For performance comparison and analysis, a prototype of the designed system is developed, and implications to be considered when developing an LLM-based BIM expert system are derived.

• 한국CDE학회논문집
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• 제18권3호
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• pp.177-188
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• 2013

The construction industry consists of various and massive architectural information as an architectural process includes a variety of design stages with cooperation of many disciplines. Particularly, architectural information is generated and managed through the life cycle of a building, from conceptual design stage to the construction and maintenance. A Building Information Model (BIM) serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward. BIM technology accomplished quantitative development being utilized in various disciplines. However, it is necessary to develop environment and requirement for qualitative improvement of BIM based project. Particularly, requirement is very important for architectural design evaluations. The purpose of this study is to develop and apply of quality control check-list for improving the quality of architectural design in BIM environments. To achieve this purpose, the authors have investigated case study for open BIM data quality control (software, guideline and application case) and classified quality control targets according to physical/logical quality control and data quality. In addition, the authors have defined open BIM based quality control process and developed quality control check-list. Finally, the authors have developed automatic quality check system using requirements for efficient quality control based on open BIM.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.426-432
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• 2013

The construction industry consists of various and massive architectural information as an architectural process includes a variety of design stages with cooperation of many disciplines. Particularly, architectural information is generated and managed through the life cycle of a building, from conceptual design stage to the construction and maintenance. A Building Information Model (BIM) serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward. BIM technology accomplished quantitative development being utilized in various disciplines. However, it is necessary to develop environment and requirement for qualitative improvement of BIM based project. Particularly, requirement is very important for architectural design evaluations. The purpose of this study is to develop and apply of quality control requirement for improving the quality of architectural design in open BIM environments. To achieve this purpose, the authors have investigated case study for open BIM data quality control (software, guideline and application case) and classified quality control targets according to physical/logical quality and data quality. In addition, the authors have defined open BIM based quality control process and developed quality control requirements. Finally, the authors have developed rule based quality check system using requirements for efficient quality control based on open BIM.

• 한국BIM학회 논문집
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• 제11권4호
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• pp.31-41
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• 2021

Digital twins between "BIM Digital Model-Physical Prototype Model" will be built for Noise Barrier tunnel(NBT) that meet the definition of N.G smart city facilities derived from previous studies to build a data flow that connects data at each stage of design, construction, and operation. In this process, BIM design automation tools are created and utilized, and consistent transmission of member and attribute data is performed by converting them into IFC format. Through this, the purpose is to improve the labor-intensive environment required from the design stage of the NBT and to consistently maintain the information required for subsequent production and construction. This includes achieving changes in the construction industry based on digital transformation by unifying various data formats used differently for each industry from design to operation. In addition, it demonstrates that information exchange in the maintenance and management stages is possible based on the data exchange of the established digital twin and aims to improve the existing labor-intensive environment and expand operability between digital and physical information. As suggested in previous studies, the implementation of digital twins in these N.G smart city facilities includes the possibility of building an environment that adds to the possibility of high value-added product platforms as well as the function of big data platforms targeting existing smart cities.

• 대한토목학회논문집
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• 제43권4호
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• pp.501-510
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• 2023

최근 스마트건설 확대 기조에 따라 건설 데이터 활용의 중요성이 높아지고 있다. 하지만 건설 사업정보와 유지관리 정보는 웹에 분산되어 있고, IFC를 통한 기존의 BIM 정보 교환 및 연계 방식은 BIM 데이터와 웹 자원과의 연결이 불가하다. 본 연구는 항만 유지관리 분야에서 BIM 데이터와 이종데이터의 통합적 활용방안을 모색하기 위해 링크드데이터(Linked Data, 이하 LD) 기술을 활용하여 BIM 기반 항만 시설물의 데이터 통합체계를 구축하였다. 이에 BIM 기반 항만 유지관리 온톨로지를 설계하고 BIM 시범사업인 부산 신항 2-1단계 3부두 시설의 BIM 및 사업·유지관리 정보를 대상으로 LD를 구축하였다. 또한, 발행된 LD를 활용하여 시설물 검색 및 통계, SPARQL Endpoint 기능 등 서비스 프로토타입을 구현하였다. 본 연구에서 제시하는 LD 기반 정보 통합체계는 기존 정보체계를 개방된 체계로 전환하고, BIM과 유지관리 데이터를 표준 형식의 웹 리소스로 구축하여 정보의 재활용성을 향상시킬 것으로 기대된다.

• 한국CDE학회논문집
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• 제14권6호
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• pp.355-363
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• 2009

The purpose of this study is to suggest development direction of open BIM. To achieve this purpose, the authors have investigated application status and current problems of open BIM through question survey to design firm which is introducing or plan BIM. In addition, the authors have suggested improvement way about current problems of BIM application such as BIM standard guide, reference of practical application examples, BIM library, data interoperability between software, improvement of BIM software function and performance that is deducted through question survey.

• 한국BIM학회 논문집
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• 제9권2호
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• pp.1-10
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• 2019

In this research, schedule optimization is defined as balancing the number of workers while keeping the demand and needs of the project resources, creating the perfect schedule for each activity. Therefore, when one optimizes a schedule, multiple potentials of schedule changes are assessed to get an instant view of changes that avoid any over and under staffing while maximizing productivity levels for the available labor cost. Optimizing the number of workers in the scheduling process is not a simple task since it usually involves many different factors to be considered such as the development of quantity take-offs, cost estimating, scheduling, direct/indirect costs, and borrowing costs in cash flow while each factor affecting the others simultaneously. That is why the optimization process usually requires complex computational simulations/modeling. This research attempts to find an optimal selection of daily maximum workers in a project while considering the impacts of other factors at the same time through OPEN BIM based multiple computer simulations in resource leveling. This paper integrates several different processes such as quantity take-offs, cost estimating, and scheduling processes through computer aided simulations and prediction in generating/comparing different outcomes of each process. To achieve interoperability among different simulation processes, this research utilized data exchanges supported by building SMART-IFC effort in automating the data extraction and retrieval. Numerous computer simulations were run, which included necessary aspects of construction scheduling, to produce sufficient alternatives for a given project.