• 제목/요약/키워드: construction information model

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Schematic Estimation Process using Architectural Object BIM Library

  • Lee, Ji Yong;Kim, In Han;Choi, Jung Sik
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.289-293
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    • 2015
  • The construction industry has been evolving with the development of information technology. According to this trend, the current industry changes from 2d drawings to Building Information Modeling(BIM). Current studies on the BIM-based estimation have problems such as Quantity Take-Off(QTO) specificity toward a particular software, the uncertainty of the amount in accordance with the model quality. These studies focus on QTO based on BIM rather than schematic estimation. In addition, studies on the connection with the QTO and unit cost for schematic estimation are insufficient. The purpose of this study is to propose schematic estimation process by utilizing construction codes and QTO in architectural object BIM libraries. Construction codes are classified in detail in order to input codes inside each. This study has connected unit cost and construction classification codes that obtain from BIM model. The results of this study will be helpful in decision-making and communication for schematic estimation of the design phase. It will improve the efficiency and reliability problems of existing schematic estimation.

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Developing an Evacuation Evaluation Model for Offshore Oil and Gas Platforms Using BIM and Agent-based Model

  • Tan, Yi;Song, Yongze;Gan, Vincent J.L.;Mei, Zhongya;Wang, Xiangyu;Cheng, Jack C.P.
    • 국제학술발표논문집
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    • The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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    • pp.32-41
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    • 2017
  • Accidents on offshore oil and gas platforms (OOGPs) usually cause serious fatalities and financial losses considering demanding environment platforms locate and complex topsides structure platforms own. Evacuation planning on platforms is usually challenging. The computational tool is a good choice to plan evacuation by emergency simulation. However, the complex structure of platforms and varied evacuation behaviors usually weaken the advantages of computational simulation. Therefore, this study developed a simulation model for OOGPs to evaluate different evacuation plans to improve evacuation performance by integrating building information modeling (BIM) and agent-based model (ABM). The developed model consists of four parts: evacuation model input, simulation environment modeling, agent definition, and simulation and comparison. Necessary platform information is extracted from BIM and then used to model simulation environment by integrating matrix model and network model. During agent definition, in addition to basic characteristics, environment sensing and dynamic escape path planning functions are also developed to improve simulation performance. An example OOGP BIM topsides with different emergent scenarios is used to illustrate the developed model. The results showed that the developed model can well simulate evacuation on OOGPs and improve evacuation performance. The developed model was also suggested to be applied to other industries such as the architecture, engineering, and construction industry.

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Development of an Object-Relational IFC Server

  • Hoon-sig Kang;Ghang Lee
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1346-1351
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    • 2009
  • In this paper we propose a framework for an Object Relational IFC Server (OR-IFC Server). Enormous amounts of information are generated in each project. Today, many BIM systems are developed by various CAD software vendors. Industry Foundation Classes (IFC) developed by International Alliance for Interoperability (IAI) is an open standard data model for exchanging data between the various BIM tools. The IFC provides a foundation for exchanging and sharing of information directly between software applications and define a shared building project model. The IFC model server is a database management system that can keep track of transactions, modifications, and deletions. It plays a role as an information hub for storing and sharing information between various parties involved in construction projects. Users can communicate with each other via the internet and utilize functions implemented in the model server such as partial data import/export, file merge, version control, etc. IFC model servers using relational database systems have been developed. However, they suffered from slow performance and long transaction time due to a complex mapping process between the IFC structure and a relational-database structure because the IFC model schema is defined in the EXPRESS language which is object-favored language. In order to simplify the mapping process, we developed a set of rules to map the IFC model to an object-relational database (ORDB). Once the database has been configured, only those pieces of information that are required for a specific information-exchange scenario are extracted using the pre-defined information delivery manual (IDM). Therefore, file sizes will be reduced when exchanging data, meaning that files can now be effectively exchanged and shared. In this study, the framework of the IFC server using ORDB and IDM and the method to develop it will be examined.

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건설공사 적시생산(Just-ln-Time)을 위한 조달시스템 개발 - 콘크리트 타설 공사를 중심으로 - (Development of the procurement system for Just-in-Time Building Construction)

  • 신봉수;김창덕
    • 한국건설관리학회논문집
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    • 제5권6호
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    • pp.235-244
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    • 2004
  • 도심지의 대형 공사를 그것도 짧은 공기 내에 수행함에 있어 가장 중요한 과제로 부각되는 것은 건설 주요 자원의 효율적인 관리이다. 즉 자재, 인원, 장비 등의 적기적소 조달이 주요 관리 항목이 되고 있다. 또한, 자원의 적기적소 조달을 위한 생산 단계별 생산주체간의 효율적인 정보의 교환은 성공적인 공사 수행에 절대적인 영향을 끼치게 된다. 따라서 이러한 정보를 효율적으로 관리하여 주요 자원을 조달, 운반, 양중, 적치, 설치 각 단계별로 관리할 수 있도록 하는 주요 자원 관리 시스템의 개발이 필수적이다 본 연구에서는 자동차 제조 산업 등 타 산업분야에서 성공적으로 사용된 적시생산의 기본적인 원리와 정보전달기법, 즉 간판시스템의 기본개념을 응용하여 건설프로젝트 자원정보관리시스템을 개발하였다. 또한, 이 시스템을 콘크리트 타설 공사에 적용하였다. 현장의 콘크리트 공사 흐름을 분석한 후, 가치흐름맵핑(VSM)을 통해 정보관리 개선 후 개선모델(FSM)을 제시하고, 이를 실제 초고층주상복합 건물현장의 자원정보관리에 적용하였다. 또한 현장 적용 시 도출된 적용성 등 문제점을 보완하여, 시스템의 추후 사용성을 제고하였다.

An Advanced User-Construction Requirement Within the EFD for the Development of Large-scale Information Systems

  • Park, Won-Seok;Park, Man-Gon
    • 한국멀티미디어학회논문지
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    • 제6권4호
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    • pp.723-735
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    • 2003
  • This research focuses ell an approach for the building of a requirements model for the development of large-scale information systems. It will suggest a set of requirements engineering processes as a procedure of the implementation for building the requirements model. It will also emphasise the evaluation requirements model aimed to refine and complete the requirements model by the different user groups as a cross reference. This paper provides an advanced user-construction requirements within the Event Flow Diagram as a set of requirements engineering process.

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적응형 뉴로-퍼지(ANFIS)를 이용한 건축공사비 예측 (Prediction of Building Construction Project Costs Using Adaptive Neuro-Fuzzy Inference System(ANFIS))

  • 윤석헌;박우열
    • 한국건축시공학회지
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    • 제23권1호
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    • pp.103-111
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    • 2023
  • 건설 프로젝트의 초기단계에서 공사비를 정확하게 예측하는 것은 프로젝트를 성공적으로 수행하기 위해 매우 중요하다. 본 연구에서는 ANFIS 모델을 활용하여 건설프로젝트의 초기단계에 건축공사비를 예측할 수 있는 모델을 제시하였다. 모델의 활용도를 높이기 위해 공개된 공사비 데이터를 활용하였으며 프로젝트 초기단계의 제한된 정보를 바탕으로 예측할 수 있는 모델을 제시하고자 하였다. ANFIS와 관련된 기존 연구를 분석하여 최근의 동향을 파악하였으며 ANFIS의 기본 구조를 고찰한 후 건축공사비 예측을 위한 ANFIS 모델을 제시하였다. ANFIS의 모델의 소속함수의 종류와 개수에 따라 달라지는 예측 성능을 분석하여 가장 성능이 우수한 모델을 제시하였으며, 대표적인 기계학습 모델의 예측 정확도와 비교분석하였다. 적용결과 ANFIS 모델을 다른 기계학습 모델과 비교한 결과 동등 이상으로 성능을 나타내 프로젝트 초기단계 공사비 예측에 적용 가능할 것으로 판단된다.

Automated Construction Activities Extraction from Accident Reports Using Deep Neural Network and Natural Language Processing Techniques

  • Do, Quan;Le, Tuyen;Le, Chau
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.744-751
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    • 2022
  • Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

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실시설계단계 BIM 기반 도면 작업 효율 향상을 위한 도면화 템플릿 개발 (Developing a Drawing Template for BIM software to Improve BIM-based Drawing Work Efficiency in the Construction Document Phase)

  • 김이제;김인채;진상윤
    • 한국BIM학회 논문집
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    • 제10권4호
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    • pp.98-109
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    • 2020
  • Based on the prior research which developed the consistency review checklist of the BIM model and 2D drawing through the drawing analysis of the construction documents phase, the apparent limits of the existing template and the template development items were derived. As well, the BIM-based drawing templates of the construction documentation phase were developed and verified using ArchiCAD BIM software. The developed template was then applied to the actual project model in the construction documents phase, and, as a result, 50% of existing work elements could be utilized as templates. This is an increase of more than 30% over the existing template utilization elements, and it is analyzed to be effective in practical application and utilization. Based on the results of this study, if the BIM model construction criteria matching the drawing's utilization purpose are presented, while at the same time the BIM data interlocking and drawing template development studies are conducted, the utilization of BIM data can be maximized and additional drawing work can be minimized to increase the percentage of template utilization elements. In addition, it is believed that this can employed to address functional and institutional problems of BIM-based drawing and make a contribution to the activation of BIM.

지하공동구의 CCTV 영상 기반 AI 연기 감지 모델 개발 (Development of AI Detection Model based on CCTV Image for Underground Utility Tunnel)

  • 김정수;박상미;홍창희;박승화;이재욱
    • 한국재난정보학회 논문집
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    • 제18권2호
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    • pp.364-373
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    • 2022
  • 연구목적: 본 논문은 지하공동구의 초기 화재 감지를 위해 CCTV를 활용한 AI 연기 객체 감지 모델을 개발하는데 목적이 있다. 연구방법:비정형성이 높은 연기 객체의 감지 성능을 제고하기 위해 화재 감지에 특화된 딥러닝 객체 감지 모델을 지하공동구 연기 감지에 특화되도록 학습시켰고, 학습데이터셋의 정제 및 학습 중 Gradient explosion 완화 등 감지 성능 개선을 위한 방법들을 적용해 모델 결과를 비교하였다. 연구결과: 결과는 제안된 방법을 통해 모델 성능을 향상시켰고 mAP 등의 지표를 평가를 통해 개발 모델이 우수한 성능을 보유하고 있음을 보여준다. 최종 모델은 지하공동구 환경의 연기에 대해 미탐이 낮은 반면 오탐이 다수 발견되는 성능을 보였다. 결론: 본 논문의 모델은 지하공동구 관리시스템과 연계를 통해 보완함으로써 지하공동구의 연기 객체 감지에 활용할 수 있을 것으로 판단된다.

건설분야의 지식관리 적용을 위한 학습모델 개발 (Development of Learning Model for Knowledge Management in Construction Area)

  • 정인수;김병곤;나혜숙
    • 한국건설관리학회논문집
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    • 제3권1호
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    • pp.65-73
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    • 2002
  • 건설산업의 특성상 엔지니어링 등 소프트웨어 부문은 지식이 곧 기업의 경쟁력을 좌우하기 때문에 철저한 보안 강화로 지식의 소재조차 불분명한 상황이며, 건설현장의 지식은 프로젝트의 종료와 함께 사장되어 가는 현실에 직면해 있다. 이 연구의 목적은 지식경영을 추진하고 있는 기존 업체의 지식관리 학습모델을 고찰하여 이를 근간으로 새로운 모델을 개발하고 건설업체에 적용하는 시나리오를 설정하는 것이다 이를 토대로 사장되어 가는 건설현장 지식을 유통시켜, 건설산업의 전반적인 수준 향상을 도모하고자 한다. 이에 지식관리와 관련한 선행 연구를 분석하여, EIP, EDMS, 지식 및 실패사례관리, CoP, e-Learning으로 구성되는 건설분야의 지식관리 학습모델을 개발하였다.