• 제목/요약/키워드: Construction Practice Information

검색결과 218건 처리시간 0.032초

국내 지질 및 지반조사 자료 관리 현황에 대한 실용적 고찰 (A State-of-the-Practice Review on the Management of the Domestic Geotechnical and Geological Information Data)

  • 장용구;전흥수;채덕호;조완제
    • 한국지반환경공학회 논문집
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    • 제14권4호
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    • pp.39-46
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    • 2013
  • 최근 들어, 건설 시공의 정보화에 더불어 이를 이용한 원가 및 비용 절감 방안에 대한 연구가 많이 수행되고 있는 실정이다. 이러한 상황에서 구조물의 설계에서 필수적으로 이용되고 있는 지질 및 지반정보의 관리 현황을 파악하여 비교 분석하여 보다 나은 활용성을 가진 관리 시스템을 만드는 것은 매우 중요하다고 생각된다. 현재 지질 및 지반 정보는 한국 지질자원 연구원의 지질도 및 지질공학도 그 외 여러 가지 주제도, 한국광물공사의 국가광물자원지리정보망, 한국건설기술연구원 국토지반정보 포털시스템의 시추정보, 서울특별시의 지반정보시스템, 해양조사원의 종합해양정보시스템을 통하여 수집 및 관리되고 있다. 이와 더불어 건설 시공과 밀접한 관련이 있는 지하수 정보는 한국수자원공사의 국가지하수정보센터와 한국농어촌공사의 농어촌지하수넷을 통하여 그 정보를 수집 관리하고 있다. 따라서, 본 연구에서는 현재 정부 출연 연구소에서 수집 및 관리되고 있는 지질 및 지반 정보의 종류를 소개하며, 미국, 일본, 유럽에서 사용되고 있는 관리 시스템과의 비교를 통하여 적극적으로 활용될 수 있는 형태의 자료 제공 및 관리 시스템의 방향을 제시하였다.

해외 신규 시장의 프로젝트를 수행하기 위한 사업환경 사전조사 프레임웍에 관한 연구 (A Study of Pre-assessment Framework for Business Environment for Delivering Projects in a New Overseas Market)

  • 오중근
    • 한국건설관리학회논문집
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    • 제16권3호
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    • pp.78-90
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    • 2015
  • 최근 건설 내수시장의 물량 감소에 따라 해외 건설 시장 진출을 가속화 하고 있다. 하지만 해외 시장의 경쟁력 심화에 따른 저가 수주 및 시장 정보 부족에 따른 수주 및 수행 실패 사례가 많이 나타나고 있다. 이에 따라 본 연구에서는 해외건설의 신규 시장에서 프로젝트를 수행하기 위한 필수 조사항목을 정의하고 일정한 기준에 따른 분류를 하여 표준 프레임웍을 개발하였다. 개발된 프레임웍을 실제 모로코 건축 프로젝트에 적용하였고 그 결과 제한적이긴 하지만 타당성을 검증하였다. 향후 좀 더 다양한 프로젝트에 적용하여 항목에 대한 검증 및 표준화가 필요할 것이지만 그간 체계적이지 못하게 나열되었던 항목들을 표준적인 프레임웍으로 정리하고 실무적으로 이를 사업초기의 사업환경 조사수단으로 활용가능하다는 점에서 의의가 있다고 하겠다.

초기 기획단계의 신한옥 공사비 예측 모델 - 모듈(칸) 기반의 목공사 개략 물량 산출 중심으로 - (Preliminary Construction Cost Prediction Model Based on Module for Modernized Hanok)

  • 강승희;정영수
    • 한국건설관리학회논문집
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    • 제21권3호
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    • pp.48-56
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    • 2020
  • 기획단계에서의 공사비 예측은 타당성 분석, 예산 책정, 계획수립 등을 위한 기초정보를 제공한다는 점에서 성공적인 프로젝트 수행을 위한 중요한 요소이다. 본 연구에서는 초기 기획단계의 신한옥 공사비 예측 정확도 향상을 목적으로 전체 공사비 중 가장 많은 비중을 차지하는 목공사는 다양한 조건(구조형식, 지붕형태, 평면형태 등)에 의해 개략 물량을 자동 산출하여 공사비를 예측하고, 이외의 공종은 단위단가식을 적용해 공사비를 예측하는 모델을 제시하였다. 2개의 사례를 대상으로 개략 견적 모델로써의 활용성 및 타당성을 검증하였으며, 총공사비의 오차율은 각각 -4%(사례 1), -6%(사례2)로 나타났다. 이러한 결과값은 초기 기획단계에서 실무활용 가능한 범위에서의 오차를 보였다.

INTRA-AND INTERGOVERNMENTAL INFORMATION SYSTEM TO MANAGE INFORMATION IN URBAN RENEWAL PROJECT

  • Dong-bum Kim;Jin-Won Kim;Ju-Hyung Kim;Jae-Jun Kim
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.561-566
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    • 2011
  • In general, the early stage of urban renewal such as preparing a master plan and processing administrative works including planning permission are conducted by local governments in Korea. The local governments need to review the status of projects that are undergone in other local governments' territories. However, no integrated information system to manage information to this end at the level of nation exists in Korea. If the system would be developed, it may support central government to obtain information on required resources at the national level. In addition, local governments can gain guidance on the process and recognize potential problematic situations from others experience. The system should include functions to collect data on project summary, cost and schedule of projects according to local governments. The expected effects from using the information system are as following. First, information generated from project practice become more credible on account of management at the national level. Because the authorized party such as system administrative agents of governments are responsible for collecting and managing data. Second, the unified information system with no regard to the place where projects progresses reduces the efforts for accumulating reference data for aiding local governments decision making by providing appropriate information timely. Also, enhanced information accessibility for stakeholders make the project process clear. Finally, oversight management is enforced with visualization technology adopted in the system, presenting master plan and mass model including information on usage by floors and progressing information graphically. Ultimately, potential challenges can be anticipated by considering records accumulated from other local governments' projects. This paper presents concept, functionalities, and architecture of information system enabling to manage data from individual projects and aggregate those for oversight management for local and central governments. As a part of systems analysis, general requirements of briefing system for governments and necessary data fields to this end are identified.

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ERP 구축을 통한 건설회사의 프로세스 개선사례 연구 (A Study on Business Process Re-engineering of Construction Company Based on ERP Implementation)

  • 민경석
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (C)
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    • pp.443-447
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    • 2006
  • 경영환경의 변화에 대한 기업의 대처능력이 곧 생존에 직결되고 있는 시점에서 이에 대한 해결책으로 통합업무 프로세스를 지향하는 ERP(Enterprise Resource Planning)을 통하여 경쟁력을 강화하려는 노력이 진행되고 있다. 그러나 ERP는 적용상의 어려움과 실제 업무와의 차이점으로 인하여 막대한 노력을 들이고도 성공적으로 업무에 활용되지 못하는 사례가 많은 실정이다. 특히 건설업의 경우는 주문생산 방식의 프로젝트 특성 및 영세한 외주업체와 협업해야 하는 환경요인으로 인해 전산환경과 정보화에 많은 제약사항들을 가지고 있다. 본 연구에서는 건설업체 D사의 예를 들어 건설업 ERP 패키지를 도입하여 업무 개선에 적용한 사례를 소개하였다. 건설사 고유 업무인 공사관리 업무 및 일반관리 업무를 대상으로 현행 프로세스를 진단하고 문제점을 도출하였으며 ERP의 Best Practice를 바탕으로 프로세스 개선방안을 제시하였다. 회사는 ERP와 유기적으로 연결된 개선안의 추진을 통해 지속적인 경영혁신 활동의 토대를 구축하였으며 이에 따른 정성적, 정량적인 성공요인을 분석하였다.

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Exploratory Study of Developing a Synchronization-Based Approach for Multi-step Discovery of Knowledge Structures

  • Yu, So Young
    • Journal of Information Science Theory and Practice
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    • 제2권2호
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    • pp.16-32
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    • 2014
  • As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and characterizing topics also has been recognized more. This study, therefore, explores an approach of combining text mining with network analysis in a multi-step approach. The concept of synchronization was applied to re-assign the top author keywords in more than one topic category, in order to improve the visibility of the topic-author keyword network, and to increase the topical cohesion in each topic. The suggested approach was applied using 16,548 articles with 2,881 unique author keywords in construction and building engineering indexed by KSCI. As a result, it was revealed that the combined approach could improve both the visibility of the topic-author keyword map and topical cohesion in most of the detected topic categories. There should be more cases of applying the approach in various domains for generalization and advancement of the approach. Also, more sophisticated evaluation methods should also be necessary to develop the suggested approach.

Strengthen the Construction of Water Resources Monitoring Ability, Support the Strictest System of Water Resources management

  • Jiang, Yun-Zhong;Yi, Wan
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2012년도 학술발표회
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    • pp.27-33
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    • 2012
  • At present, the overall water resources monitoring ability in China is weak since there is an absence of a sound monitoring system and comprehensive monitoring information. In addition to the problem of weak management ability in monitoring, measurement and information, it can hardly meet the need of implementing the strictest management system of water resource and also restricts the practice of the system to some extent. The production states the necessity of further development of water resources monitoring ability and points out the concept of "One Country, One Account" for constructing water resources information. There is an analysis on the demand on further development of water resources monitoring ability and profound discussion about the strategies for supporting "three red-line" management.

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Analytic Hierarchical Procedure and Economic Analysis of Pneumatic Pavement Crack Preparation Devices

  • Park, JeeWoong;Cho, Yong K.;Wang, Chao
    • Journal of Construction Engineering and Project Management
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    • 제5권2호
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    • pp.44-52
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    • 2015
  • Various approaches have been used in crack preparations and each of the approaches has advantages and disadvantages. Although the routing method has been widely used and seems to be the best approach among the approaches, it is not a complete solution for crack preparation. This paper compares and evaluates a pneumatic crack cleaning device (CCD) developed by Robotics and Intelligent Construction Automation group at Georgia Tech, over existing devices. Surveys were conducted to discover factors that affect the performance of crack/joint preparation work. Then, data for such information were collected via field tests for devices such as router, heat lancer, air blower and CCD. Performed field test results and follow-up interviews demonstrated that the utilization of CCD has potential to offer improvements in productivity, safety, and maintenance cost. An analytic hierarchical procedure (AHP) and economic analyses were conducted. The AHP analysis considered three factors including safety, quality and productivity while the economic analyses examined the alternatives in various ways. The results indicated that the CCD was ranked first and second for the AHP analysis and economic analysis, respectively. In conclusion, the field tests and results revealed that the utilization of CCD achieved satisfactorily in performance, quality, safety and control, and showed that it has high potential in crack cleaning practice.

AN ASSESSMENT SYSTEM OF ECO-FRIENDLINESS OF CONSTRUCTED FACILITY IN THE DESIGN PHASE USING VALUE ENGINEERING

  • Byung-Soo, Kim;Dong-Eun, Lee;Suk-Hyun, Kwon;Min-Kwon, Choe
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1625-1629
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    • 2009
  • The new paradigm called 'Low Carbon Green Growth' involved in reducing greenhouse gas is on the rise as a critical issue worldwide. The essential of Kyoto protocol issued in 1997 is to achieve the sustainable economic growth environments by converting existing production system to eco-friendly one. The protocol imposes the liability to reduce greenhouse gas to the countries joined to it. The paradigm is directly involved in the energy consumption and environmental pollution caused by construction activities. Value Engineering which are mainly applied in the design phase in practice is a measure to improve the value of a constructed facility by analyzing and/or appraising the functions and costs of it. However, an appropriate method which assesses eco-friendliness of constructed facility has not been propose by researchers. This paper proposes a method which assesses the performance involved in eco-friendliness of constructed facility using Value Engineering (VE) in the design phase. The method estimates the environmental cost relative to the amounts of energy consumption and environmental pollution occurred over the entire project life cycle. The database called "Life Cycle Inventory DB", which stores information about the amounts of environmental pollution, is used. The algorithm which retrieves the amounts of environmental pollutions from the DB and converts them into environmental costs is developed. The algorithm is implemented into a system which quantifies the eco-friendliness of constructed facility in the design phase using VE.

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Automatic space type classification of architectural BIM models using Graph Convolutional Networks

  • Yu, Youngsu;Lee, Wonbok;Kim, Sihyun;Jeon, Haein;Koo, Bonsang
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.752-759
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    • 2022
  • The instantiation of spaces as a discrete entity allows users to utilize BIM models in a wide range of analyses. However, in practice, their utility has been limited as spaces are erroneously entered due to human error and often omitted entirely. Recent studies attempted to automate space allocation using artificial intelligence approaches. However, there has been limited success as most studies focused solely on the use of geometric features to distinguish spaces. In this study, in addition to geometric features, semantic relations between spaces and elements were modeled and used to improve space classification in BIM models. Graph Convolutional Networks (GCN), a deep learning algorithm specifically tailored for learning in graphs, was deployed to classify spaces via a similarity graph that represents the relationships between spaces and their surrounding elements. Results confirmed that accuracy (ACC) was +0.08 higher than the baseline model in which only geometric information was used. Most notably, GCN was able to correctly distinguish spaces with no apparent difference in geometry by discriminating the specific elements that were provided by the similarity graph.

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