• 제목/요약/키워드: Construction Data

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공사인력관리와 하자발생 사이의 관련성에 관한 연구 - 재무적 자료을 이용한 실증분석 - (A Study on Relationship between Construction Manpower Management and Defect Occurrence - Empirical Analysis Using Financial Data -)

  • 박홍조;안성훈
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.263-264
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    • 2021
  • The purpose of this study is to empirically confirm the effect of the characteristics of construction workers on the occurrence of defects in construction. In this study, the degree of direct construction is measured through the ratio of the direct recruitment and outsourcing manpower of the original contractor, and the effect of this on the occurrence of defects is empirically analyzed using financial data. In addition, it is verified whether the degree of defect occurrence varies depending on the job skill level of the direct hired personnel inputted to the construction. Through this, it will be possible to prepare an argument for revitalizing the direct construction of construction companies and an opportunity to promote it.

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INCIDENT FREQUENCY AND SEVERITY FOR CONSTRUCTION FACILITIES

  • Jong-Hyun Park;Jae-Su Jeong;Chan-Sik Lee
    • 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.234-240
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    • 2011
  • Preventing incidents occurred in construction process is important for safe implementation of construction projects. Due to the complexity and magnitude of the project and moreover, poor safe planning and management, construction incidents in Korea have been increasing. Reducing construction incidents effectively, appropriate safety management program in consideration of the incident rate of each facility is to be adapted. This study analyzes incident frequency and severity rate of each facility based on the data of construction sites(about 1,560 thousand cases) recorded by Korea Occupational Safety & Health Agency for 3 years from 2007 to 2009, and the incident related data (about 40 thousand cases) of Korea Workers' Compensation & Welfare Service. The results of this study revealed that construction incident rates of 'cold refrigeration storage facilities' are the highest among building types, followed by traditional building religious building, arcade department store and shopping center. In case of other facilities, the incident rate and the rate of intensity of 'pipelining project' are the highest, followed by 'tunneling project'. These results would be used in providing safety programs beneficial for preventing construction incidents.

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Resource and Sequence Optimization Using Constraint Programming in Construction Projects

  • Kim, Junyoung;Park, Moonseo;Ahn, Changbum;Jung, Minhyuk;Joo, Seonu;Yoon, Inseok
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.608-615
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    • 2022
  • Construction projects are large-scale projects that require extensive construction costs and resources. Especially, scheduling is considered as one of the essential issues for project success. However, the schedule and resource management are challenging to conduct in high-tech construction projects including complex design of MEP and architectural finishing which has to be constructed within a limited workspace and duration. In order to deal with such a problem, this study suggests resource and sequence optimization using constraint programming in construction projects. The optimization model consists of two modules. The first module is the data structure of the schedule model, which consists of parameters for optimization such as labor, task, workspace, and the work interference rate. The second module is the optimization module, which is for optimizing resources and sequences based on Constraint Programming (CP) methodology. For model validation, actual data of plumbing works were collected from a construction project using a five-minute rate (FMR) method. By comparing actual data and optimized results, this study shows the possibility of reducing the duration of plumbing works in construction projects. This study shows decreased overall project duration by eliminating work interference by optimizing resources and sequences within limited workspaces.

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건설현장 안전사고 빅 데이터 기반 작업자별 프로파일 분석 (Profiling of Workers based on Safety Accident Big Data in Construction Site)

  • 강성원;이기석;유위성;신윤석
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.247-248
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    • 2021
  • Recently, the government is pursuing to reduce the serious accidents in most industries, including the construction industry, by enacting laws on punishment. The accident rate tends to be depended on the size and type of construction sites, and the accidents occur frequently due to inadequate implementation of safety management system and management standards, especially, in small and medium-sized sites. This study has performed the profiling of 265,000 accident cases on construction sites by attribute analysis such as the ratio of days lost to work, and pattern of days lost to work compared to the size of the construction. It turned out that the proportion of accident cases was high mainly in small-scale construction sites, and long-term labor losses occurred. Shortly, it is necessary to establish an institutional standard for applying a realistic safety management cost calculation and management system centered on small-scale sites. Therefore, this study is expected to be used as fundamental data or guideline for developing a customized safety management and accident prevention system for a worker reflecting the conditions of a construction site in the future.

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Developing an IFC-based database for construction quality evaluation

  • Xu, Zhao;Li, Bingjing;Li, Qiming
    • 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.301-312
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    • 2017
  • Quality evaluation and control represent increasingly important concerns for construction quality management. There is an evident need for a standard data model to be used as the basis for computer-aided quality management. This study focuses on how to realize evaluation of construction quality based on BIM and database technology. In this paper, the reinforced concrete main structure is taken as an example, and the BP neural network evaluation model is established by inquiring current construction quality acceptance specification and evaluation standard. Furthermore, IFC standard is extended to integrate quality evaluation information and realize the mapping of evaluation information in BIM model, contributing to the visualization and transfer sharing of evaluation information. Furthermore, the conceptual entity model is designed to build quality evaluation database, and this paper select MySQL workbench system to achieve the establishment of the database. This study is organized to realize the requirement of visualization and data integration on construction quality evaluation which makes it more effective, convenient, intuitive, easy to find quality problems and provide more comprehensive and reliable data for the quality management of construction enterprises and official construction administratiors.

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Application of BIM-integrated Construction Simulation to Construction Production Planning

  • Chang, SooWon;Son, JeongWook;Jeong, WoonSeong;Yi, June-Seong
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.639-640
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    • 2015
  • Traditional construction planning based on historical data and heuristic adjustment can no longer incorporate all the operational details and guarantee the expected performance. The variation between the expected and the actual production leads to cost overruns or delay. Although predicting reliable productivity on construction site is getting more important, the difficulty of this increases. In this regard, this paper suggested to develop BIM-integrated simulation framework. This framework could predict productivity dynamics by considering factors affecting on construction productivity at operational phase. We developed the following processes; 1) enabling a BIM model to produce input data for simulation; 2) developing the construction operation simulation; 3) running simulation using BIM data and obtaining productivity results. The BIM-integrated simulation framework was tested with structural steel erection model because steel erection work is one of the most critical process influencing on the whole construction budget and duration. We could improve to predict more dynamic productivity from this framework, and this reliable productivity helps construction managers to optimize resource allocation, increase schedule reliability, save storage cost, and reduce material loss.

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SWOT분석을 통한 CM사 견적업무 빅데이터 활용전략에 관한 연구 (A Study on the Strategy of the Use of Big Data for Cost Estimating in Construction Management Firms based on the SWOT Analysis)

  • 김현진;김한수
    • 한국건설관리학회논문집
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    • 제23권2호
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    • pp.54-64
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    • 2022
  • 빅데이터 활용에 대한 관심이 높아짐에 따라, 건설산업에서도 빅데이터와 관련한 다양한 연구개발이 이루어지고 있다. 건설산업의 다양한 분야 중 견적업무는 빅데이터의 활용성이 높은 분야로 인식되고 있다. 견적업무에서 빅데이터를 효과적으로 활용하기 위해서는, 기업의 내외부 현황을 다면적으로 이해하고 이에 적합한 활용전략을 수립하는 것이 필요할 것이다. 본 연구의 목적은 국내 CM사 견적업무에서의 빅데이터 활용현황을 조사하고, SWOT기법을 활용하여 CM사 견적업무에서 빅데이터를 활용하기 위한 전략 방향을 개발하고 제시하는데 있다. 문헌조사, 설문조사, 인터뷰 조사 및 SWOT분석을 바탕으로 CM사는 기업의 높은 수용 문화와 정보 자원을 적극 활용하고, 부족한 빅데이터 실무기반과 인적자원을 보강하는 전략이 필요한 것으로 제안하였다.

비정형데이터의 AI학습을 위한 영상/이미지 데이터 품질 향상 방법 (Method for improving video/image data quality for AI learning of unstructured data)

  • 김승희;류동주
    • 융합보안논문지
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    • 제23권2호
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    • pp.55-66
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    • 2023
  • 최근 전세계적으로 사회 모든 분야에서 인공지능 학습용 데이터에 관한 선행연구를 기반으로, 인공지능 학습용 데이터의 가치를 높이고 고품질 데이터를 확보하고자 하는 움직임이 늘고 있다. 따라서, 고품질 데이터를 확보하기 위한 구축사업에서는 품질관리가 매우 중요하다. 이에, 본 논문에서는 인공지능 학습용 데이터를 구축할 시 고품질데이터 확보를 위한 품질관리와 그에 따른 구축공정별 개선방안을 제시하였다. 특히, 인공지능 학습을 위해 구축되는 비정형데이터는 데이터 품질의 80% 이상이 구축과정에서 결정된다. 본 논문에서는 비정형데이터 이미지/영상데이터에 대한 품질검사를 통해 구축단계에서의 획득, data cleaning, labeling 모델에서 발생된 검사절차 및 문제 요소를 해결함으로써 고품질 데이터 확보 방안을 제시하였으며, 제시한 방안을 토대로 인공지능 학습용 데이터 구축에 참여하는 연구단체와 사업자들에게 데이터의 품질편차를 극복하기 위한 대안이 될 것으로 기대된다.

이력 데이터를 사용한 노무생산성 모델링 및 측정 (Measuring and Modeling Labor Productivity using Historical Data)

  • 박영준;손창백;이동은
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2012년도 추계 학술논문 발표대회
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    • pp.141-142
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    • 2012
  • Estimating the productivity of labor has relied on the experience and intuition of an estimator, or productivity data, such as standard in practical estimation. However, when new technologies and new construction methods employed in the construction industry, Dependence of a quantity surveyor's intuition is increased. This is because of the lack of a systematic methodology which models, estimates, and measures the labor productivity, Due to the historical productivity data is unavailable. Even thought project history data contains information that is important to predict the performance of a project, It can not provide valuable information to model, estimate, and measure the labor productivity. This is because 1) the absence of the productivity measurement system with consistency, 2) the difficulty of reusability of historical data collected. Therefor, this study suggests a methodology which build a productivity model by measuring the productivity of labor and collecting the historical data systematically. In addition, this methology is applied to develop a productivity model of shop-drawing and manufacturing process using descrete event simulation.

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지식관리(KM)를 위한 건설공사 실적자료관리 개선방안 연구 (A Study on the Improvement of Historical Data For Knowledge Management in Construction Project)

  • 이태식;송재영
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2001년도 학술대회지
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    • pp.468-471
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    • 2001
  • 건설공사를 수행하는데 있어 초기 프로젝트 계획에 대한 중요성이 널리 인식되어 지고 있다. 프로젝트와 관련된 방대한 양의 실적자료들이 초기 계획단계에서부터 활용될 수 있다면, 프로젝트의 전체 범위와 비용견적을 비교적 정확하게 예측할 수 있는 중요한 원천이 될 것이다. 그러나, 공사 실적자료들의 축적, 분석, 활용의 정도가 미비하여 상당한 양의 유용한 정보들이 쉽게 사장되거나 적용되지 못한 채 보유되고 있다. 이런 문제점을 개선하기 위해서는 건설사업 참여자들이 획득한 수많은 양의 실적자료들을 유용한 지식으로 획득, 저장, 공유, 활용할 수 있는 체계적, 종합적인 실적자료관리시스템을 개발하여 관리할 필요성이 있다. 본 연구에서는 이러한 기술적 흐름과 병행하여, 현재 건설공사의 실적자료들을 효과적으로 관리하여 유사프로젝트에 유용하게 이용하고자 한다

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