• Journal of KIBIM
• /
• v.14 no.1
• /
• pp.22-29
• /
• 2024

BIM is a practical and economical technology used in the construction process. Despite the fact that BIM is widely used in the design and another stage before construction, it is not largely applied during the construction stage itself. However, it is important to opt for BIM during construction stage because there may occur a number of risks such as construction delay and increased construction costs. Therefore, the present paper contains the analysis of the model use, which is mainly applied to respond to the BMI RFI that represents an information requirement of construction site workers, by analysing the BMI RFI application at the construction site. In addition, there is an analysis of the way the derived model use affects the project goal aimed at the project success.

• Proceedings of the KAIS Fall Conference
• /
• 2007.05a
• /
• pp.279-282
• /
• 2007

본 연구의 목적은 조정을 거친 수치지도를 이용하여 3차원 도시공간모델을 생성하는 자동제작기를 제안하는 것이다. 일반적인 디지털 도시공간모탤 제작방식에 대해 분석하여 3차원 도시공간모델 제작에 필요한 소요정보 및 공간제작함수(기능, Method} 등을 추출한다. 수치지도에서 3차원 도시공간모델 제작에 필요한 정보를 추출하고 이런 정보들을 가공하여 모텔제작에 사용가능한 정보로 바꾸어 준다. 또한 수치지도를 이용하여 3차원 모델을 제작할 때 사용자가 필요로 하는 부가정보들을 수동으로 입력할 수 있도록 한다. 수치지도에서 얻는 정보에 공간제작함수를 적용해서 3차원 모텔을 제작한다. 수치지도가 2차원지도로만 활용되고 있는 현실이며 수치지도의 다양한 3차원 정보를 이용한 3차원 도시 공간모델 자동제작을 제안함으로써 재래식 모델제작에 필요했던 대량의 시간과 노동력을 절감할 것이고 또한 제작된 도시공간모텔은 건축이나 도시설계분야에서 보다 경제적이고 보다 쉽게 활용될 수 있을 것이라고 기대된다.

• Journal of the Earthquake Engineering Society of Korea
• /
• v.9 no.6 s.46
• /
• pp.41-52
• /
• 2005

The seismic damage assessment due io the postulated earthquake was attempted for the buildings in the model district of Seoul City. The model district was selected to represent the typical structural and residential characteristics of Seoul City. The buildings in the model district were classified into 11 structural types. For each structural type, the capacity and fragility curves were constructed with parameters presented in HAZUS. The ground motions due to the postulated earthquakes were artificially generated and ground response analyses were done for three kinds of soil profiles classified with respect to the depth of surface soil layer. The probability of damage state of each structural type was calculated using capacity spectrum method and fragility curve. Finally, the calculated results were translated into GIS database and mapped to evaluate the seismic damage in the model district.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.1304-1306
• /
• 2012

최근 건설 산업에서는 비용 절감과 공기 단축 등 건설 프로세스의 새로운 대안으로 BIM(Building Information Modeling)의 효용성이 널리 알려지며 대형건설사와 건축사사무소를 중심으로 BIM 적용을 위한 다양한 시도가 이뤄지고 있다. 이러한 과정은 다양한 분야의 전문가들의 협업으로 이루어지기 때문에 작업자간의 원활한 설계 정보 공유를 위해서는 각기 다른 BIM 소프트웨어에서 만들어 내는 데이터간의 정보호환이 필요하다. 이에 본 논문에서는 빌딩스마트(buildingSMART International, BSI)가 제시한 건축, 엔지니어링, 시공 분야(AEC)의 데이터 교환을 위한 국제 표준인 IFC(Industry Foundation Classes)를 이용하여 이기종 파일 간 호환성 검토 및 문제점 분석을 통해 정보모델개발의 기반자료로 활용하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.533-535
• /
• 2021

The differences between this study and previous studies are as follows. First, by building a cloud-based system using IoT technology, the system was built to monitor the status of buildings in real time from anywhere with an internet connection. Second, a model for predicting the future was developed using artificial intelligence (LSTM) and statistical (ARIMA) methods for the measured time series sensor data, and the effectiveness of the proposed prediction model was experimentally verified using a scaled-down building model. Third, a method to analyze the condition of a building more three-dimensionally by visualizing the structural deformation of a building by convergence of multiple sensor data was proposed, and the effectiveness of the proposed method was demonstrated through the case of an actual earthquake-damaged building.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2010.04a
• /
• pp.533-536
• /
• 2010

현재 우리나라 건설 사업에는 BIM의 관심과 사용이 급증하고 있다. BIM의 현주소는 실무에 적용하기 어려운 단점이 많고 IFC를 이용한 정보호환에 어려움이 많다. 결과적으로 Architectural BIM Tool에서 모델링한 프로젝트를 Structural BIM Tool에서 다시 모델링을 하고 MEP단계에서도 다시 한 번 더 BIM 모델링을 하는 반복 작업과 반복 작업으로 인한 인력손실과 프로그램간의 유통과 호환에 문제가 많은 것이 현 실정이다. 이에 본 연구는 타 분야와의 정보 공유를 설계단계에 따라 상세 수준별로 분류하여 설계/설비 분야와 정보를 공유하고 물리적 모델과 해석적 모델의 상이로 인하여 현 정보 교류에 많은 문제점이 있어 두 모델간의 정보변환을 위한 알고리즘을 개발하고 구현하였다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.455-455
• /
• 2023

본 연구에서는 도시홍수 피해 저감 및 회복을 위한 도시홍수 연관 데이터 가시화 및 GIS 기반 LoD 1 수준 가시화 기술 개발을 진행하였다. 도시홍수는 불투수지역의 증가로 인한 첨두 홍수의 증가 및 도달 시간의 단축, 도시 내수배제의 불량으로 인한 주택지 및 상가 공장지 등의 침수에 의한 피해가 발생하는 현상이며, 도시홍수 예측 모델을 수행하기 위하여 수집한 기상, 하천 및 수자원, 토양 등의 데이터를 2차원 가시화하고 도심 지역의 지형 DEM(Digital Elevation Model) 데이터 및 건축물 DSM(Digital Surface Model) 데이터를 기반으로 3D 가시화를 진행하였다. 기상, 하천 및 수자원 관측 등의 데이터를 실시간으로 수집하며 관련 데이터를 도시홍수 디지털 트윈 플랫폼의 수문기상정보를 통하여 가시화 제공하며 토양 및 지리정보는 WMS 레이어를 기반으로 2D 가시화한다. 건축물 데이터의 경우 GIS 정보를 기반으로 하는 3D 객체 배치를 위하여 WGS84 타원체를 활용하여 EPSG:4326 좌표계를 적용하여 가시화하였다. 건축물 가시화는 PostgreSQL로 구축된 데이터를 Geoserver를 활용하여 자동으로 층 정보를 통한 건축물의 높이를 계산하도록 하였으며, CesiumJS를 적용하여 웹 기반 도시홍수 디지털 트윈 플랫폼을 개발하였고 추후 LoD 3 수준으로의 확대 적용 기반을 마련하였다.

• Journal of the Korea Institute of Building Construction
• /
• v.20 no.3
• /
• pp.289-296
• /
• 2020

This study suggests a methodology for automatically extracting placing information from 2D reinforced concrete details drawings and generating a 3D reinforcement placing model to develop a mobile augmented reality for bar placing work. To make it easier for users to acquire placing information, it is suggested that users takes pictures of structural drawings using a camera built into a mobile device and extract placing information using vision recognition and the OCR(Optical Character Registration) tool. In addition, an augmented reality app is implemented using the game engine to allow users to automatically generate 3D reinforcement placing model and review the 3D models by superimposing them with real images. Details are described for application to the proposed methodology using the previously developed programming tools, and the results of implementing reinforcement augmented reality models for typical members at construction sites are reviewed. It is expected that the methodology presented as a result of application can be used for learning bar placing work or construction review.

• Korean Journal of Construction Engineering and Management
• /
• v.3 no.1 s.9
• /
• pp.83-90
• /
• 2002

Actual construction data are unsystematically handled and uselessly hoarded after completion of the project although actual construction data can be applied to the various works of the future projects. Many researches have been carried out by several engineers and scholars of construction firms and research institutes, but the level of the application is not plausible yet. The objective of this paper is to propose a web-based data model and application system for commercial buildings in order to enhance the usability of the actual construction data on line. The principal factors of commercial building project data and the user$^{\circ}{\phi}s$ requirements in various areas, such as planning, design, procurement and construction and so on are analyzed to implement the database structure of the proposed system. The application of resource Information focused on cost, manpower, equipment is included in the system, which is expected to enhances the usability of actual database application system compared with other researches proposed so far.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.40 no.6
• /
• pp.613-622
• /
• 2020

The South Korean government plans for a 37 % reduction in CO2 emissions against business as usual by 2030. Subsequently, the Ministry of Land, Infrastructure and Transport declared a 26.9 % reduction target in greenhouse gas emissions from buildings by 2020 and established the Green Standard for Energy and Environmental Design (G-SEED) to help improve the environmental performance of buildings. Construction companies often work with consulting firms to prepare for G-SEED certification. In the process, owing to inefficient data sharing and work connections, it is difficult to achieve economic efficiency and obtain certification. The objective of this study was to develop an economic model to assist contractors in achieving the required G-SEED scores for materials and resources. To do this, we automated the process for material comparison and selection on the basis of an analysis of actual consulting data, and developed a model that selects material alternatives that can meet the required scores at a minimum cost. Information on materials is input by applying a genetic algorithm to the optimization of alternatives. When the model was applied to actual data, the construction cost could be lowered by 79.3 % compared with existing methods. The economical material selection model is expected to not only reduce construction costs for owners desiring G-SEED certification but also shorten the project design time.