• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 춘계 학술논문 발표대회 1부
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• pp.141-143
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• 2011

A Study on the Curtain Wall parts that appear to cause problems and to improve information exchange system by applying the model of SOA-based development directions are suggested. Availability of the IT industry than other industries that have closed in the field of construction such as SOA. IT systems for the compatibility of the information being sought may be applied. In the future adoption of SOA and Web service-based approach to information exchange with suppliers and improving the efficiency of information for the construction to cover the entire field of research will be conducted as a SOA system.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.317-320
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• 2015

Documenting work-in-progress on construction sites using images captured with smartphones, point-and-shoot cameras, and Unmanned Aerial Vehicles (UAVs) has gained significant popularity among practitioners. The spatial and temporal density of these large-scale site image collections and the availability of 4D Building Information Models (BIM) provide a unique opportunity to develop BIM-driven visual analytics that can quickly and easily detect and visualize construction progress deviations. Building on these emerging sources of information this paper presents a pipeline for model-driven visual analytics of construction progress. It particularly focuses on the following key steps: 1) capturing, transferring, and storing images; 2) BIM-driven analytics to identify performance deviations, and 3) visualizations that enable root-cause assessments on performance deviations. The information requirements, and the challenges and opportunities for improvements in data collection, plan preparations, progress deviation analysis particularly under limited visibility, and transforming identified deviations into performance metrics to enable root-cause assessments are discussed using several real world case studies.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.169-172
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• 2013

Building Information Modeling (BIM) is an effective decision-making platform that helps to save project cost and enhance quality of construction. By generating and linking a wide variety of objects data, BIM can be effectively utilized, and it should be ensured that object properties maintain consistency throughout the project period of design, estimates, construction, maintenance and repair. This study examined how to utilize BIM data in a construction project, by linking cost and schedule data in web environment, to better utilize the information and maintain consistency of the BIM information. To do so, the model integrated WBS data and CBS data, linked them with BIM model to realize 5D simulation in web environment. As a result, cost and schedule data could be simultaneously acquired, and object properties-cost, schedule, location-as well. These are expected to contribute to developing a BIM-based automatic data-processing system in web environment.

• 한국BIM학회 논문집
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• 제13권4호
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• pp.36-44
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• 2023

Recently in Korea, efforts are underway to enhance smart construction by implementing Building Information Modeling (BIM) comprehensively across all sectors of the construction industry. This study focused on the adoption of BIM for prefab bridges currently executed in the industry and It examined the process of creating a BIM-based prefab bridge model that can support production. Additionally, it explored how prefab products made by manufacturers can be integrated with road alignments using BIM technology and how the DfMA (Design for Manufacturing and Assembly) approach, which supports production based on designed information, can be adopted. The process of creating the prefab bridge model aims to shorten production time, reduce costs, and enhance quality by leveraging digital information related to design and manufacturing within the BIM framework

• 한국환경과학회지
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• 제23권3호
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• pp.503-510
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• 2014

To estimate the benefit of high-resolution meteorological data for building energy estimation, a building energy analysis has been conducted over Busan metropolitan areas. The heating and cooling load has been calculated at seven observational sites by using temperature, wind and relative humidity data provided by WRF model combined with the inner building data produced by American Society of Heating Refrigeration and Air-conditioning Engineers (ASHRAE). The building energy shows differences 2-3% in winter and 10-30% in summer depending on locations. This result implicates that high spatiotemporal resolution of meteorological model data is significantly important for building energy analysis.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1330-1333
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• 2004

The methodology for modeling building energy consumption is well established for energy saving calculation in the temperate zone both for performance-based energy retrofitting contracts and measurement and verification (M&V) projects. Mostly, statistical regression models based on utility bills and outdoor dry-bulb temperature have been applied to baseline monthly and annual whole building energy use. This paper presents the application of neural networks (NN) to model landlord energy consumption of commercial buildings in Singapore. Firstly, a brief background information on NN and its application on the building energy research is provided. Secondly, five commercial buildings with various characteristics were selected for case studies. Monthly mean outdoor dry-bulb temperature ($T_0$), Relative Humidity (RH) and Global Solar Radiation (GSR) are used as network inputs and the landlord monthly energy consumption of the same period is the output. Up to three years monthly data are taken as training data. A forecast has been made for another year for all the five buildings. The performance of the NN analysis was evaluated using coefficient of variance (CV). The results show that NNs is powerful at predicting annual landlord energy consumption with high accuracy.

• Earthquakes and Structures
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• 제19권1호
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• pp.59-77
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• 2020

The code static eccentricity model for elastic torsional design of structures has two critical shortcomings: (1) the negation of the inertial torsional moment at the center of mass (CM), particularly for torsionally-unbalanced (TU) building structures, and (2) the confusion caused by the discrepancy in the definition of the design eccentricity in codes and the resistance eccentricity commonly used by engineers such as in FEMA454. To overcome these shortcomings, using the resistance eccentricity model that can accommodate the inertial torsional moment at the CM, interactive relations between shear and torsion are proposed as follows: (1) elastic responses of structures at instants of peak edge-frame drifts are given as functions of resistance eccentricity, and (2) elastic hysteretic relationships between shear and torsion in forces and deformations are bounded by ellipsoids constructed using two adjacent dominant modes. Comparison of demands estimated using these two interactive relations with those from shake-table tests of two TU building structures (a 1:5-scale five-story reinforced concrete (RC) building model and a 1:12-scale 17-story RC building model) under the service level earthquake (SLE) show that these relations match experimental results of models reasonably well. Concepts proposed in this study enable engineers to not only visualize the overall picture of torsional behavior including the relationship between shear and torsion with the range of forces and deformations, but also pinpoint easily the information about critical responses of structures such as the maximum edge-frame drifts and the corresponding shear force and torsion moment with the eccentricity.

• 한국건축시공학회지
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• 제16권6호
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• pp.579-585
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• 2016

3차원 이미지 스캐닝 기술은 복잡한 비정형 건축물의 외피의 정확한 형상과 위치 데이터를 확보하는데 효과적이다. 3차원 이미지 스캐닝 기술의 세부 과정인 점 군집화, 메쉬표면 분리, 넙스 표면 생성, 파라메트릭 솔리드 모델을 통하여 비정형 건축물의 형상을 구축할 수 있다. 이에 본 연구는 비정형 건축물의 외장재 제작과 시공을 위한 3차원 이미지 스캐닝에 의한 역설계 프로세스와 사례 분석을 통하여 시사점을 도출한다. 본 연구의 결과는 역설계 기술을 사용한 3차원 형상 기술과 설계 요소화 방법을 다양한 건설 프로젝트에 활용할 수 있을 것으로 판단된다.

• 대한공간정보학회지
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• 제17권3호
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• pp.71-79
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• 2009

본 연구에서는 단일 고해상도 영상으로부터 그림자와 건물 연직선을 이용한 3차원 건물 정보 추출 알고리즘을 확장하여 메타정보가 없는 단일 고해상도 영상에서도 3차원 건물 정보 추출 생성 방법을 제안하고, 이를 통해서 3차원 건물 모델 생성 가능성에 대해서 연구하였다. 제안된 방법은 메타정보가 없는 영상에서 기준 건물을 선택하고, 기준 건물에 높이를 부여하여 이로부터 센서와 태양의 고도각 및 방위각을 추정한다. 스테레오 IKONOS 위성영상에서 추출한 건물의 높이를 실제 높이라고 가정했을 때, 제안된 방법으로 메타정보를 이용하지 않고 IKONOS 영상으로부터 추출한 20개의 건물 높이 RMS 오차는 3m 미만이었으며, 5개의 건물 수평 위치를 1:1000 수치지형도의 건물 수평 위치와 비교한 결과, RMS 오차가 3m 미만이었다. 또한 제안된 방법을 구글어스로부터 추출한 영상에 적용한 결과, 17개 건물 높이의 RMS 오차가 3m 미만이었다. 제안된 방법으로 생성한 3차원 건물 모델을 육안으로 비교한 결과, 메타정보를 이용하여 생성한 3차원 건물 모델과 유사한 높이 패턴을 보여주었다. 이를 통해서 제안된 방법으로 메타정보가 없는 고해상도 영상에서 3차원 건물 모델이 추출될 수 있다고 판단하였다.

• 한국산학기술학회논문지
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• 제16권6호
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• pp.4228-4236
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• 2015

센서네트워크(Sensor Network)기반의 웹 기반 기술과 모바일 컴퓨팅 기술의 급속한 발전으로 인해, 일반인은 유비쿼터스(Ubiquitous) 환경에서 다양한 형태의 데이터와 정보를 생산, 제공 및 공유할 수 있게 되었다. 공간정보분야에서는 지오 센서네트워크(Geosensor Network)와 공간 비공간 데이터 융합처리기술이 결합된 GIS(Geographic Information System)를 이용하여 공간정보 서비스를 제공하는 연구가 진행 중이다. 하지만, 방대한 양을 가지는 웹 데이터와 센서데이터를 GIS 데이터와 연계하여, 사용자 맞춤형 정보를 생성하기 위해서는 상황인지모델 기반의 정보제공이 필요하다. 상황인지 서비스는 사용자의 개입을 최소화하면서, 사용자 상황에 맞는 적절한 정보를 제공하는 것을 의미한다. 이를 위해 상황인지모델은 센서네트워크와 모바일 기기에서 취득된 데이터들의 특성과 연관성을 모델링하고, 사용자의 위치와 관심지역의 상황에 맞는 정보를 제공한다. 이에 본 연구에서는 상황인지모델 기반의 GIS 플랫폼을 개발하였다. 개발된 시스템은 대기환경 데이터와 모바일 데이터를 취득하고 분석된 결과를 대기환경정책에 반영함으로써, 시민의 환경의식을 높이고 공동참여를 활성화하도록 설계되었다.