• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1194-1201
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• 2022

The existing literature has witnessed the importance of productivity assessment and deducing factors affecting it. However, yet many models have shown limitations in practical applications in actual construction sites for process planning due to uncertainty and lack of data. This research presents a productivity assessment and database generation framework using simulation and compares the results with RSMeans to derive appropriate equipment combinations alternatives for earthwork operations. Data of 15 different conditions was collected from 5 different construction sites. Prediction accuracy above 90% were achieved for the simulation models with average error rate of 7.4%. The construction productivity assessment framework presented in this study is expected to be highly applicable to operation planning for earthwork operations.

• 한국안전학회지
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• 제33권2호
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• pp.76-85
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• 2018

The interest in the Building Information Modeling (BIM) technology has risen remarkably due to the effects on construction work period reduction, cost reduction, work safety improvement, and other factors. In civil engineering field, BIM applications mainly focus on data modeling and virtual construction. In this study, we present the BIM-based virtual construction and analyze the effects of BIM for the railway facilities so that the conventional approach to the equipment operation plan can be improved in order to prevent safety accidents which can result from unclear information during the operation plan. The BIM-based virtual construction technology is applied to establish the construction plan for the site with constraints, the installation of steel girder needs to be completed, avoiding interference with the existing high-speed railway operation within a given limited time. A virtual construction model consisting of topography, structures, equipments, and avatar was built and more detailed model, including safety guard rails, was then created. Specifications of the construction equipment were input as a database, and the virtual construction model was manipulated in the equipment operation planning. Through the BIM-based virtual construction, including the verification of alternative construction method, 311 million won was saved and the construction period was shortened by 87 days compared to the original plan. In addition, it was shown that the interest and participation of the construction workers can be increased by providing the 3D virtual scene for real construction work and various safety hazards occurring during equipment operation can be effectively removed in advance by the interactive worker education.

• 대한토목학회논문집
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• 제39권6호
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• pp.887-892
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• 2019

건설현장 영상 자동 모니터링을 목적으로 많은 연구자들이 영상분석기술을 활발히 개발하고 있다. 높은 성능의 영상분석기술을 개발하기 위해서는 다량의 고품질 학습용 이미지 데이터베이스(Database, DB)를 구축해야 한다. 하지만 기존의 학습 DB 구축 방법은 사람이 건설현장을 직접 방문하여 카메라를 설치하고 각각의 목적에 알맞은 영상을 수집하여 DB를 직접 구축하고 있기 때문에 이에 많은 비용과 시간이 요구된다. 뿐만 아니라 이 같은 사람 의존적인 방식은 건설현장의 다양한 특성을 모두 반영한 DB를 구축하는 것에 한계가 있다. 이러한 한계를 극복하기 위해서 본 연구는 웹 크롤링(Web Crawling) 기법을 활용하여 건설현장 영상분석을 위한 학습 이미지 DB를 자동으로 구축하는 프레임워크를 제안한다. 프레임워크 검증을 위해 건설공종과 건설장비에 대한 학습 DB를 구축하여 영상분석모델을 학습 및 평가하는 실험을 진행하였다. 그 결과, 건설현장 모니터링을 위한 학습용 이미지 DB를 자동으로 구축할 수 있었을 뿐만 아니라 이를 토대로 개발한 영상분석모델이 건설공종과 건설장비를 성공적으로 분류하는 것을 확인하였다. 결과적으로 기존의 방식보다 학습 DB를 구축하는 데 필요한 시간과 비용을 최소화할 수 있었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2003년도 추계학술발표회 논문집
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• pp.347-352
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• 2003

This study attempts to develop the management and control system of water pipe on the footing of database builded by the research on the pipe of water supply equipped over 48.809km within district of Hamyang-up by Hamyang-Gun, and to apply it to the work of self-governing body. And, since the structure and equipment of facilities of underground water supply pipe ate so complex, the maintenance and management of function of facilities are needed for long-term. This study has the purpose to build the database per self-governing body which can be connected with the future NGIS project, and to promote the efficiency of management and control of facilities and equipment.

• 한국건축친환경설비학회 논문집
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• 제12권6호
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• pp.543-556
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• 2018

Zero energy building was attended for energy consumption minimization by the energy saving technology about building heating and cooling energy consumption and the renewable energy production facility. So the government has supported the zero energy building supply for decreasing green gas emissions. The study about inventory of zero energy building has many proceeding. That inventory need the information of material and equipment. So information of material and equipment about zero energy building must be included for the zero energy building realization. Actually the database of zero energy building inventory construction through the inventory established studies has difficult because the database need many information. In this study, author proposed the test methods and performance reference for upload at inventory. It was constructed to material - module - package. Also the author analyzed the construction of the technical package for zero energy building. The author separated performance category to the energy performance for energy analysis and other performance for confirmed the durability, stability and etc. This performance category proposed the table. The test methods of material and equipment in the passive package and active package proposed to the international standard and korea standard basically korea standard. Also the performance reference was proposed to korea legal standard and various standard by this study results. And the authors proposed the table of performance value, test methods, performance reference. By result of this study, the test methods and performance reference will be used the basic data for inventory of zero energy building.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.223-224
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• 2023

Optimal fleet management in the planning stage is one of the most critical activities that guarantee successful construction projects. In South Korea, the construction standard production rate database (CSPRD) is normally employed. However, when it comes to a trade-off problem that involves decision-making on optimal sets of equipment to perform a certain task, the method will require the planners' in-depth knowledge and experience regarding the target process and a time consuming estimation of the performance of every possible scenario must be conducted for the deduction of the optimal fleet management. On this account, this research paper proposes a lightweight method of using mixed integer nonlinear programming (MINLP) in multi-objective problems based on CSPRD-based mathematical equations to assist planners in the preplanning stage of choosing the optimal sets of types and size machinery to efficiently arrange the construction scheduling and budgeting.

• 드라이브 ㆍ 컨트롤
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• 제19권3호
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• pp.9-15
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• 2022

This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

• 한국건설관리학회논문집
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• 제3권1호
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• pp.83-90
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• 2002

공사실적자료는 후속 공사에서 다양하게 활용할 수 있음에도 불구하고 공사 준공과 함께 방치되어 효율적으로 활용되지 못하고 있다. 이러한 문제점을 개선하기 위하여 다양한 연구가 진행되어 왔다. 본 논문은 이러한 연구의 일부로서 공사실적 데이터베이스를 후속 공사에 효율적으로 활용하기 위한 데이터 모델과, 이를 응용할 수 있는 방안을 자원 중심으로 제시하는 것을 목적으로 한다. 대상 건축물은 주거용 건축물과 함께 가장 많이 건축되는 상업건축물을 선정하였다. 데이터 모델을 구축하기 위하여 상업 건축물의 공사 영향요인 및 기획, 설계, 조달, 건설단계 등의 이용자별 필요정보를 분석하였다. 응용방안은 공사실적자료의 활용가치가 높은 원가와 자원관리 부분을 중심으로 제시하였고, 실적자료와 관련된 기개발 시스템에 지원이 가능할 것으로 기대된다.

• 드라이브 ㆍ 컨트롤
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• 제18권4호
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• pp.9-18
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• 2021

This study proposes a method for creating learning datasets to recognize obstacles using deep learning algorithms in automated construction machinery or an autonomous vehicle. Recently, many researchers and engineers have developed various recognition algorithms based on deep learning following an increase in computing power. In particular, the image classification technology and image segmentation technology represent deep learning recognition algorithms. They are used to identify obstacles that interfere with the driving situation of an autonomous vehicle. Therefore, various organizations and companies have started distributing open datasets, but there is a remote possibility that they will perfectly match the user's desired environment. In this study, we created an interface of the virtual simulator such that users can easily create their desired training dataset. In addition, the customized dataset was further advanced by using the RDBMS system, and the recognition rate was improved.

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1363-1373
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• 2022

The recent seismic events that occurred in South Korea have increased the interest in the re-evaluation of the seismic capacity of nuclear power plant (NPP) equipment, which is often conservatively estimated. To date, various approaches-including the Bayesian method proposed by the United States (US) Electric Power Research Institute -have been developed to quantify the seismic capacity of NPP equipment. Among these, the Bayesian approach has advantages in accounting for both prior knowledge and new information to update the probabilistic distribution of seismic capacity. However, data availability and region-specific issues exist in applying this Bayesian approach to Korean NPP equipment. Therefore, this paper proposes to construct an earthquake experience database by combining available earthquake records at Korean NPP sites and the general location of equipment within NPPs. Also, for the better representation of the seismic demand of Korean earthquake datasets, which have distinct seismic characteristics from those of the US at a high-frequency range, a broadband frequency range optimization is suggested. The proposed data construction and seismic demand optimization method for seismic capacity re-evaluation are demonstrated and tested on a 480 V motor control center of a South Korea NPP.