• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.

• 한국건축시공학회지
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• 제22권6호
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• pp.681-688
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• 2022

본 연구에서는 도면정보나 건축물 정보가 불확실한 노후 지역의 건설폐기물 발생량 예측을 위하여 드론촬영, 자동 체적 산출, 연면적 간접 변환, 폐기물량 예측의 과정을 QGIS 플러그인 형태로 구축하였다. 이를 위해 모의검증을 통하여 드론 활용 자동 산출된 체적과 현장실측 기반 BIM 체적과의 높은 일치성을 확인하였다. 실제 해체예정지를 대상으로 현장검증을 실시하고 드론 기반 체적과 실측-BIM기반 체적의 일치성을 재확인하였다. 층고와 건축물 유형 설정을 통하여 폐기물 발생 원단위를 적용하고 직간접적인 방식으로 폐기물량을 산출하였고, 전체 과정은 드론 촬영과 산출 자동화 과정을 포함하여 면적 1,200,000m² 대상지를 6시간 이내의 작업시간으로 신속하게 처리하였다. 비록 건축물 정보와 드론을 통한 건물 객체의 차이는 가설물, 적재물, 층고 설정에 따라 오차가 발생하였지만, 실제 해체물량도 최초 예측보다 더 크게 발생할 것으로 파악되었으며, 향후 사례조사를 통하여 체적-연면적 변환의 정확도 향상에 대한 개선이 필요할 것이다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.297-300
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• 2008

1990년대 3D CAD가 출현한 이후, 최근 BIM(Building Information Modeling)이 이슈화되고 있다. BIM이라 함은 건설 프로젝트 생애주기 전반에 걸쳐 생성되는 정보를 3D Model과 함께 관리하는 것으로, 건설 프로젝트 각 분야의 정보들을 3D 모델과 연동하는 프로세스를 가지고 있다. 이에 견적 분야에서도 3D 모델로부터 자재의 물량을 산출하는 연구들이 진행되어 오고 있으며, 국내l에서 상용화된 견적 프로그램을 국내 건설 프로젝트에 적용하려는 시도가 이루어지고 있다. 그러나 이는 2D 도면으로부터 물량을 산출하는 기존의 견적방식보다 작업시간 및 생산성 측면에서 효율성이 떨어질 뿐만 아니라, 국외 견적 업무는 국내 견적과 다른 방식으로 이루어지고 있기 때문에 국외 상용 프로그램을 국내 건설 프로젝트에 적용하는데 한계가 있다. 그러므로 국내 건설 프로젝트에서 3D 기반 견적 프로그램을 활용하지 못하고 있다. 본 연구에서는 국내 실정에 적합한 3D 기반 견적 프로그램 개발을 위해 우선적으로 고려되어야 할 3D CAD로부터 물량 정보를 견적 프로그램으로 전달하는 3D CAD와 물량산출 연동 프로그램을 제안하고자 한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1404-1409
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• 2009

These days, the extension and complication of construction project has attached greater significance to IT system for effective project management. Construction companies inside the country have established IT system, but the fact is that they are not up to the expectations of investment provision, and the absense of objective and strategy about project management information system makes its efficiency doubtful. The research, from the point view of construction company, makes an estimate of indefinite future, and presents the process of making out IT system roadmap as a long-term strategy in building IT system.

• 한국BIM학회 논문집
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• 제12권4호
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• pp.61-69
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• 2022

Earthmoving operations account for approximately 25% of construction cost, generally executed prior to the construction of buildings and structures with heavy equipment. For the successful completion of earthwork projects, it is crucial to constantly monitor earthwork equipment (e.g., trucks), estimate productivity, and optimize the construction process and equipment on a construction site. Traditional methods however require time-consuming and painstaking tasks for the manual observations of the ongoing field operations. This study proposed the use of a GPS sensor embedded in a smartphone for the tracking and visualization of equipment locations, which are in turn used for the estimation and simulation of cycle times and production rates of ongoing earthwork. This approach is implemented into a digital platform enabling real-time data collection and simulation, particularly in a 2D (e.g., maps) or 3D (e.g., point clouds) virtual environment where the spatial and temporal flows of trucks are visualized. In the case study, the digital platform is applied for an earthmoving operation at the site development work of commercial factories. The results demonstrate that the production rates of various equipment usage scenarios (e.g., the different numbers of trucks) can be estimated through simulation, and then, the optimal number of tucks for the equipment fleet can be determined, thus supporting the practical potential of real-time sensing and simulation for onsite equipment management.

• 한국건축시공학회지
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• 제22권3호
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• pp.269-280
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• 2022

건축물이 재산적 가치가 높아지면서, 국내외에서 실내 건축공사를 많이 하는 추세이다. 실내 건축공사는 물량 산출 및 적산까지 가능한 BIM 모델링의 기술까지 발전하였다. 실제 현장에서 반영하기에는 부담스러운 금액과 공정에 따라, 2D 도면과 3D 모델링을 통하여 진행하는 추세이다. 2D 도면과 3D 모델링은 서로 장단점이 존재하여 각 실내 건축공사에서는 시공 중 하자가 발생하고 있다. 실질적인 문제를 파악하기 위해 실내 건축공사의 현장 문제점, 2D 도면분석, 3D 모델링 분석, 사전 리스크 요인을 분석하였다. 문제점 분석 결과 1) 발주자와 의사소통 2) 노무자와 의사소통 3) 도면의 이해 등 여러 가지 문제점이 도출되었다. 본 연구에서는 이를 해결 할 수 있는 실내 건축공사 품질향상 체크리스트 제안을 하였다.

• 한국건설관리학회논문집
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• 제24권5호
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• pp.83-94
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• 2023

In order to devise a rebar usage optimization algorithm, it is necessary to calculate the exact rebar length and revise the arrangement of rebars into special lengths. However, the process of rearranging numerous rebars and manually calculating their quantities is time-consuming and requires significant human resources. To address this challenge, it is necessary to develop an algorithm that can automatically estimate the length of rebars and calculate their quantities. This study aims to create an automatic estimation algorithm that improves work efficiency while ensuring accurate and reliable calculations of rebar quantities. The algorithm considers various factors such as concrete cover, hook length, development length, and lapping length, mandated by the building codes, to calculate the quantity of rebars for wall structures. The effectiveness of the proposed method is validated by comparing the rebar quantities generated by the algorithm with manually calculated quantities, resulting in a difference rate of 1.14% for the hook case and 1.37% for the U-bar case. The implementation of this method enables fast and precise estimation of rebar quantities, adhering to relevant regulatory codes.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.698-699
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• 2015

For last three years, our research team have conducted the project named "Development of construction project management technology based on BIM/GIS platform. "We developed construction cost estimation system as well as 3D modeling engine at the first two year and established a web-system which could estimate the benefits of the project and further analyze the economic and financial feasibility of the project. This paper mainly focused on the functions and specifications of web-system. The system was composed of two modules: economic feasibility estimation module and financial feasibility estimation module. While the economic feasibility estimation module determines economic feasibility of the project based on traffic demand forecasting from the public's perspective, the financial feasibility estimation module determine financial viability of the project using toll fee of the road from private entity's perspective. Compared with traditional feasibility study, the proposed system provide users with better flexibility which can make users easily to validate the project upon the change of project environments. The system was also verified with an already accomplished project. The verification showed that proposed system could provide satisfactory accurate results with reduced time and resources.

• 대한기계학회논문집A
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• 제33권5호
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• pp.514-520
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• 2009

In configuring an automated polishing system, a monitoring scheme to estimate the surface roughness is necessary. In this study, a precision polishing process, magnetic abrasive finishing (MAF), along with an in-process monitoring setup was investigated. A magnetic tooling is connected to a CNC machining to polish the surface of stavax(S136) die steel workpieces. During finishing experiments, both AE signals and force signals were sampled and analysed. The finishing results show that MAF has nano scale finishing capability (upto 8nm in surface roughness) and the sensor signals have strong correlations with the parameters such as gap between the tool and workpiece, feed rate and abrasive size. In addition, the signals were utilized as the input parameters of artificial neural networks to predict generated surface roughness. Among the three networks constructed -AE rms input, force input, AE+force input- the ANN with sensor fusion (AE+force) produced most stable results. From above, it has been shown that the proposed sensor fusion scheme is appropriate for the monitoring and prediction of the nano scale precision finishing process.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.732-737
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• 2009

Due to various project delivery methods and the complexity of construction projects in the construction industry, developing the framework of construction management for critical, highly complex projects in the construction industry has become problematic. Currently, a set of construction manuals play a pivotal role in planning and managing construction projects as subcontractors try to complete their scope of work according to the instructions of a general contractor. It is challenging for general contractors to write a construction management procedure manual to cover various types of project delivery methods and construction projects. In construction, the construction procedure manuals describe specific actions to be taken through the project. In reality a few contactors own such manuals and their construction schedules include more construction operation activities. Thus, it is hard to estimate the workload and productivity of construction managers because the manual and the schedule do not present the amount of management efforts required to complete a project. This paper proposes a framework to present construction management tasks according to project delivery methods which can be applied to various construction projects. Actions for management tasks were mapped and were integrated with construction activities throughout the project life cycle. The framework can then be used to give specific instructions to project participants, collect management actions, and replicate management actions throughout the project life cycle. The framework can also be can used to visualize complete construction project to analyze and manage construction management activities in each phase of a project in order to enhance productivity and efficiency. The studies of existing construction manuals were carried out to identify construction managers' responsibilities. An artificial intelligence program, CLIPS (C-Language Integrated Production System) was used to search for appropriate actions for impending tasks from a set of predefined actions to be performed for a given situation. The framework would significantly help construction managers to understand interrelations among management tasks or actions within a project. Furthermore, the framework can be embedded into Building Information Modeling (BIM) or Facility Management Systems (FMS) so that designers and constructors would execute constructability review before construction begins.