• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.239-240
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• 2023

Construction site management involves overseeing tasks from the construction phase to the maintenance stage, and digitalization of construction sites is necessary for digital construction site management. In this study, we aim to conduct research on object recognition at construction sites using drones. Images of construction sites captured by drones are reconstructed into BIM (Building Information Modeling) models, and objects are recognized after partially rendering the models using artificial intelligence. For the photorealistic rendering of the BIM models, both traditional filtering techniques and the generative adversarial network (GAN) model were used, while the YOLO (You Only Look Once) model was employed for object recognition. This study is expected to provide insights into the research direction of digital construction site management and help assess the potential and future value of introducing artificial intelligence in the construction industry.

• 한국전자거래학회지
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• 제9권3호
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• pp.57-77
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• 2004

본 연구의 목적은 건설도면정보 공유를 위한 XML 스키마 개발 및 STEP 연계기술을 개발하는 것이다. 이를 위해 STEP/AP202를 바탕으로 도면정보를 표현하는 STEP 데이터 모델 개발, ISO 표준도면을 관리할 수 있는 STEP 데이터 검색기 개발, 그리고 벡터형식으로 표현되는 도형정보와 각 도형요소가 연관되는 외부적 기술 자료들이 상호 유기적으로 통합될 수 있는 구조를 지원하기 위한 XML 스키마를 개발하였으며, 자재정보와 법규체크를 대상으로 STEP과 XML의 상호 연계를 통한 도면정보 공유방안을 제시하였다. 따라서 제안된 건설도면정보 공유방안을 통해 건설산업 전반에서 발생하는 건설도면을 포함한 각종 외부문서, 기술문서들의 상호 연계로 건설설계 업무지원 및 정보의 최적화된 관리가 가능할 것이다.

• 한국건설관리학회논문집
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• 제19권3호
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• pp.70-78
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• 2018

기후변화에 대한 우려가 커지면서 건설산업에서도 환경부하를 줄이기 위해 지속적으로 노력하고 있으며, 환경부하를 산정하기 위한 효과적인 방법론으로써 LCA (life cycle assessment)가 제시되고 있다. 그러나, LCA는 환경부하량 산정을 위해 작업에 투입되는 자원량에 대한 정보가 필요하기 때문에 이러한 정보의 확보가 어려운 초기 설계단계의 환경적 검토에는 활용되지 못하고 있다. 이 연구에서는 도로의 배수시설물을 대상으로 표준단면에 기반한 작업물량산출체계를 개발하고 환경부하량을 산출할 수 있는 모델에 활용하였다. 이 모델은 초기 설계단계의 가용정보만으로 LCA에 필요한 자원량을 산정함으로써 환경부하량을 산출할 수 있다. 모델의 유효성을 검증하기 위해 5개의 검증사례를 적용하였으며 원단위추정모델 및 회귀모델과 비교하였다. 그 결과 평균 9.94%의 절대오차율평균을 나타내 다른 모델보다 상대적으로 정확하며 초기 설계단계에서 사용할 수 있는 유효한 모델이라는 점이 확인되었다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.666-669
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• 2008

최근 BIM은 국외의 적용 성공 사례를 통해 비용, 공기의 절감의 효과가 입증되어 건설업계에서 최대 이슈로 부각되고 있다. 본 논문에서는 기존 토목공사 설계단계의 업무와 정보관리 체계의 문제점을 파악한 후 설계 단계시 BIM기반의 토목공사 정보관리 모델을 제안한다. 논문에서 제시된 BIM기반 정보관리 모델은 교량공사를 대상으로 적용성을 검토하고 있으며, 이러한 설계단계의 지능화, 자동화된 통합정보관리는 참여자간의 효율적인 정보관리가 가능하도록 한다.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 1997년도 한국전자거래학회 종합학술대회지
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• pp.269-286
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• 1997

This paper presents the results of analysis for the Flexible Computer Integrated construction(FCIC) system to adapt CALS on the construction industry- Acquisition and supply process of the system are represented by IDEF0 function models and FCIC information systems are briefly described in this paper. The model presented here used as a reference for the development of CALS system.

• 한국전자거래학회지
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• 제2권1호
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• pp.39-52
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• 1997

This paper presents the results of analysis for the flexible computer integrated Construction(FCIC) system to adapt CALS on the construction industry. Acquisition and supply processes of the system are represented by IDEFO function models and FCIC information systems are briefly described in this paper. The model presented here used as a reference for the development of CALS system.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.515-519
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• 2005

Most information within a construction project roots in drawings and contract documents. Although several methodologies, such as A/E/C and 4D, have employed such a peculiarity to integrate project information, they failed to integrate information in terms of efficiency and consistency. In this research, a MD (Multi-Dimensional) CAD model is developed to improve the process of integrating information for construction projects. This research describes the processes of creating MD CAD objects and embedding information required throughout the project life cycle within MD CAD building components. In addition, a case study is presented to show the efficiency and effectiveness of using MDIIS (Multi-Dimensional Information Integration System) to integrate information for construction projects.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.190-195
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• 2009

With the growth of information and communication technologies adoption in construction projects, it could be anticipated that more property owners and construction firms will attempt to use electronic gears and gadgets for site monitoring or surveillance purposes. As the construction workers may be the major group of project team members being monitored, from managerial perspectives and for ethical reasons, it is essential to investigate their degree of acceptance on site monitoring systems. Indeed studies on office workplace monitoring suggest that a monitoring system could shape or control the behaviors of employees. With adequate refinements, their research models could be applicable in the construction industry. This paper presents a model for analyzing the antecedences that affect workers' acceptance level on electronic monitoring, and investigating if there is any behavioral change.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.68-69
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• 2018

The construction drawing is a collection of knowledge that has accumulated knowledge and experience of designers and is highly valuable for recycling in the future. BIM is a process and technology that acquires and manages the information needed for the whole life cycle of a building. In order to recycle digitalized 2D drawings in BIM Tool, it is required to use 3D information based on the drawing information to save and reuse them, but there is little research on related methods or system development. In this study, 3D elements are created based on 2D drawing information, and libraries are constructed, and BIM Tool is used to improve the recyclability of drawing information.

• 한국건축시공학회지
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• 제11권1호
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• pp.91-99
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• 2011

Bayesian network is a form of probabilistic graphical model. It incorporates human reasoning to deal with sparse data availability and to determine the probabilities of uncertain cases. In this research, bayesian network is adopted to model the problem of construction project cost. General information, time, cost, and material, the four main factors dominating the characteristic of construction costs, are incorporated into the model. This research presents verify a model that were conducted to illustrate the functionality and application of a decision support system for predicting the costs. The Markov Chain Monte Carlo (MCMC) method is applied to estimate parameter distributions. Furthermore, it is shown that not all the parameters are normally distributed. In addition, cost estimates based on the Gibbs output is performed. It can enhance the decision the decision-making process.