• 한국BIM학회 논문집
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• 제1권2호
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• pp.12-18
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• 2011

건설 프로젝트 생애주기 전반에 걸쳐 생성되는 정보를 3차원 모델을 기반으로 관리하는 BIM (Building Information Modeling) 기술은 계획, 설계, 구조해석은 물론 견적 및 3차원 시뮬레이션을 통한 시공계획 등 공사관리 업무를 통합하는 방향으로 발전하고 있다. BIM 기반 견적모델은 3차원 모델의 사용 용도에 따라 상세수준의 차이와 모델정보의 차이를 보이는데, 본 연구에서는 교량 구조물을 대상으로 하여 견적을 위한 모델의 LOD 수준을 파악하였다. 또한 건설정보 분류체계에 적용되는 라이브러리의 클래스를 정의하고 Microstation의 API를 이용하여 클래스의 파라메터를 추출하여 파라메터와 연동되는 Resource의 물량정보를 산출한다. 견적 모델과 상이하게 모델링된 모델에서 하위 모델을 계층화 하고 견적수준으로 병합함으로써 BIM 기반 토목 라이브러리를 통한 견적자동화시스템을 검증하였다.

• 한국CDE학회논문집
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• 제20권2호
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• pp.124-132
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• 2015

When Building Information Modeling (BIM) was introduced at the early stage, it was only utilized as a three-dimensional visualization tool. Nowadays, however, BIM is being studied for increasing design productivity and managing enormous information on building life cycle. One of the representative research is developing 'common prototype BIM libraries'. BIM data made of common prototype libraries should be utilized in various ways, quantity takeoff, code checking, energy analysis and so on. However, common prototype BIM libraries are not enough to estimate accurate cost. For example, composite wall libraries should be divided into several single objects, wall structure and finishes, for the quantity takeoff and construction cost calculation. In this paper, we are suggesting an automated division algorithm of composite wall and developing a system prototype for it. This study is expected to reduce extra modeling work and contribute to fast and accurate cost calculation in the construction.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.437-443
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• 2013

Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.669-670
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• 2015

Efficient management of the construction heavy equipment is required to reduce the rate of carbon emissions and on-site accidents. The intelligent excavation system (IES) will improve the construction quality and productivity through information technologies and efficient equipment operation, especially in large earthwork projects. Three-dimensional digitized ground data should be required for identifying the path of heavy equipment and work-site environment. Rapid development of terrain laser scanners (TLS) is more readily to acquire the digital data. This study suggests the '3D ground terrain processing platform (3DGTPP)' including data manipulating module and analyzing module of the scanned data for intelligent earthmoving equipment operation. The processing platform consists of six modules, including scanning, registering, manipulating, analyzing, transmitting, and storing. 3D ground terrain processing platform presented in this study will provide fundamental information for intelligent excavation system (IES), which will increase the efficiency of earthworks and safety of workers in significant.

• Journal of Construction Engineering and Project Management
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• 제4권2호
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• pp.1-7
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• 2014

Radio Frequency Identification (RFID) has been applied to the construction industry for improving the efficiency of material and process management. Most RFID-related studies have focused on building or plant construction. The application of RFID has been limited in pipeline construction projects where materials are stored and stacked across a large construction site. This paper investigates practical issues in pipeline construction, improves the read rates of RFID tags, and tests their utility by putting them into practice. This paper demonstrates the benefits that may be expected with the use of improved RFID tags and the development of an automated pipeline construction management system. As a result, pipeline construction management time decreased by 28 hours per month compared to the conventional method. Cost decreased by about 26%.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.443-452
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• 2020

Worker's awkward postures and unreasonable physical load can be corrected by monitoring construction activities, thereby increasing the safety and productivity of construction workers and projects. However, manual identification is time-consuming and contains high human variance. In this regard, an automated activity recognition system based on inertial measurement unit can help in rapidly and precisely collecting motion data. With the acceleration data, the machine learning algorithm will be used to train classifiers for automatically categorizing activities. However, input acceleration data are extracted either from designed experiments or simple construction work in previous studies. Thus, collected data series are discontinuous and activity categories are insufficient for real construction circumstances. This study aims to collect acceleration data during long-term continuous work in a construction project and validate the feasibility of activity recognition algorithm with the continuous motion data. The data collection covers two different workers performing formwork at the same site. An accelerator, as well as portable camera, is attached to the worker during the entire working session for simultaneously recording motion data and working activity. The supervised machine learning-based models are trained to classify activity in hierarchical levels, which reaches a 96.9% testing accuracy of recognizing rest and work and 85.6% testing accuracy of identifying stationary, traveling, and rebar installation actions.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.227-228
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• 2016

Terrestrial laser scanning (TLS) technology is being applied to various fields such as the soil volume calculation and the displacement measurement of terrain, tunnels and dams. This study develops a 3D terrain processing platform for automated earth work using a terrestrial laser scanning data as the software prototype. The developed software provides cells with geo-technical information for planning work to an integrated system.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.293-294
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• 2021

For the successful introduction of the construction automation system, it is necessary to define the consideration factors and target tasks for the necessity of automating the conventional methods. In this study, the factors for automation were derived through brainstorming and questionnaires, and calculated the relative importance through the pairwise comparison using the AHP analysis method. In addition, the detailed type of concrete work was classified into 32 detailed works, and the automation score for each work was calculated by investigating the factors considering the necessity of automation. As a result of the automation score analysis, it was concluded that the need for automation of concrete placing work was the highest. Based on this study, we will consider the strategy of a concrete construction automation system.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.252-254
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• 2015

Building Information Modeling (BIM) encourages effective information share and utilization among project participants during entire life cycle of facility. This paper presents a method that keeps track of the historical quality records involved in construction operations and facilitates using BIM. The method is coded into BIM based Quality Record Traceability (BIM-QRT) System that makes use of historical records obtained from database administrating construction operations. This study is of value to practitioners because the method makes clear the project participants' responsibility relative to the quality of each and every element of the facility. The main objective of this research is to develop an accurate, fully automated method for construction Quality Record Tracking by using a BIM along with construction operations data obtained by information technology. Test cases verify the usability and validity of the methods implemented in the system.

• 산업공학
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• 제25권2호
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• pp.216-228
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• 2012

BIM-based 4D simulation makes people easily understand complex construction process using 3D graphics model and helps them review and identify the construction schedule in each phase of the construction process. Moreover, 4D simulation can be used as reference data to determine the validity of the process in the design phase and will be utilized as a measure for checking the construction process. Therefore 4D simulation of construction improves efficiency of project management. However, current commercial applications available for 4D simulation do not provide sufficient functions for connection of 3D models and process information. In this paper, we propose an automated generation method through the definition of the process based on a work method template and developed the template based schedule generation system (TSGS).