• Journal of KIBIM
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• v.5 no.4
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• pp.23-29
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• 2015

The purpose of this study is to provide considerations for developing reverse engineering guidelines for AEC(Architecture, Engineering and Construction). The reverse engineering is a methodology which has the purpose of extracting and recognizing geometries and properties from physical objects such as buildings, facilities, terrain and infrastructure including roads, bridges, and tunnels. To handle them for the purpose of construction management, maintenance, and operation, we should know the exact position, orientation, and dimension of the objects including their properties. As the viewpoint of the information extraction from reverse engineering, it is necessary to derive consideration factors for developing reverse engineering guidelines.

• Journal of KIBIM
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• v.13 no.1
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• pp.22-32
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• 2023

Due to the increased use of digital maps in the construction industry, there is a growing demand for high-quality digital map analysis. With the large amounts of data found in digital maps at earthwork sites, there is a particular need to enhance the accuracy and speed of digital map analysis. To address this issue, our study aims to develop new technology and verify its performance to address non-ground and range mismatch issues that commonly arise. Additionally, our study presents a new digital map analysis framework for earthwork sites that utilizes three newly developed technologies to improve the performance of digital map analysis. Through this, it achieved about 95% improvement in analysis performance compared to the existing framework. This study is expected to contribute to the improvement of the quality of digital map analysis data of earthworks.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.93-96
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• 2010

현재 국내외에서 Building Information Modeling을 적용한 여러 분야의 연구가 활발하게 진행되고 있으며, 일부 국외에서는 3D 기반의 견적을 실제 프로젝트에 반영하고 있다. 반면, 국내 건설 프로젝트에서는 여전히 2D 설계도면과 물량산출 프로그램을 이용하여 견적이 이루어지고 있다. 작업의 신속성 및 정확성을 중요시하는 국내 견적 문화에서는 3D 기반의 물량산출 방식 도입을 부정적으로 바라보는 시각이 있으나, 향후 건설 산업의 경쟁력 확보를 위해서 3D 기반 견적작업이 필요하다. 이에 국외에서 상용화된 견적 시스템을 국내 건설 프로젝트에 적용한 결과, 몇 가지 한계점이 있는 것으로 드러나 국내 견적 방식에 적합한 3D기반의 물량산출 프로그램 개발이 절실한 상황이다. 따라서 본 연구에서는 국내 건설 산업에서의 물량 산출 특성을 반영한 공법기반 견적자동화 시스템 개발 및 검증을 통해 국내 3D 기반의 견적 도입을 앞당기고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.443-449
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• 2018

Acquiring indoor point cloud, using SLAM (Simultaneous Localization and Mapping) based mobile mapping system, is an element progress for development of as-build BIM (Building Information Model) for the maintenance of the building. In this research we proposed a simulation-based target geometry determination for extrinsic calibration of multiple 2D laser scanning mobile system. Four different types of calibration sites were designed: (1) circle type; (2) rectangle type; (3) double circle type; and (4) double rectangle type. Based on the measurement values obtained from each simulated calibration site geometry, least squares solution based extrinsic calibration was derived. As a result, the rectangle type geometry is most suitable for extrinsic calibration of this system. Also, correlation values between extrinsic calibration parameters were high, and calibration results were distinct according to the calibration sites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3083-3093
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• 2010

The number of Free-Form construction projects are increased by development of 3D parametric modeling technology. The reason of Free-Form Architecture's appearance is advance of digital technology. BIM simulation decision making support is inefficient because it is used in virtual reality. In this study, we developed "AR naviX" which is the digital contents of construction management based on AR for effective decision making support to Free-Form construction project. It reflects construction site by using site picture and video, or Laser scanning data. User feel high reality and is absorbed in augmented reality. So they can reduce the time of decision.

• Korean Journal of Construction Engineering and Management
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• v.24 no.2
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• pp.3-12
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• 2023

Fire accidents in buildings are reported more frequently nowadays. Existing building fire accidents can lead to large-scale accidents as damage to human and physical resources increases over time, so it is necessary to quickly find ways to suppress fires and rescue them. Currently, more attention is being paid to new buildings than the existing buildings. In addition, fire information can not be captured in a real time basis for the buildings. In line with the demands of this technology, this study presents a quick and systematic fire management method to minimize damage caused by fire in buildings. As a way to achieve the purpose of the study, ArduinoTM sensors and ExcelTM and RevitTM-DynamoTM tools have been combined to develop a new fire information management system and develop a real-time 3D visualization model. It is expected to contribute to the real-time smart fire management system by proposing a fire management application as a way to utilize it in the future.

• Journal of KIBIM
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• v.5 no.2
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• pp.46-54
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• 2015

Vision-based tracking has been proposed as a means to efficiently track a large number of construction resources operating in a congested site. In order to obtain 3D coordinates of an object, it is necessary to employ stereo-vision theories. Detecting and tracking of multiple objects require an entity matching process that finds corresponding pairs of detected entities across the two camera views. This paper proposes an efficient way of entity matching for tracking of construction workers. The proposed method basically uses epipolar geometry which represents the relationship between the two fixed cameras. Each pixel coordinate in a camera view is projected onto the other camera view as an epipolar line. The proposed method finds the matching pair of a worker entity by comparing the proximity of the all detected entities in the other view to the epipolar line. Experimental results demonstrate its suitability for automated entity matching for 3D vision-based tracking of construction workers.

• KIEAE Journal
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• v.10 no.2
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• pp.63-69
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• 2010

Diverse problems in wind environment has occurred through rapid urbanization and growth of high-rise building numbers, This study aims to propose the CFD (Computational Fluid Dynamics) simulation method and evaluation standard of wind environment in site planning of high rise apartment housing. The CFD simulation method proposed in this study is not existing detail simulation, but it is the method that a designer can correct and develop the design through immediate evaluation of design options in concept design phase. Therefore, the proposed CFD simulation method of wind environment in this study uses the BIM based CFD tool in which the 3D model in concept design phase can be used as for the CFD simulation. In this paper, the study examines existing evaluation standards of comfortableness level in wind environment for pedestrian near buildings, and selects new evaluation method which is possible to apply to the proposed CFD simulation method. In addition, it is to examine calculation time-spending and appropriate mesh division method for finding CFD result which is useful to find the best design options in aspect of wind environment in concept design phase. Furthermore, it proposes the wind environment evaluation method through BIM based CFD simulation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.1
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• pp.35-41
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• 2020

3D laser scanners are an effective way to quickly acquire a large amount of data about an object. Recently, it is used in various fields such as surveying, displacement measurement, 3D data generation of objects, construction of indoor spatial information, and BIM(Building Information Model). In order to utilize the point cloud data acquired through the 3D laser scanner, it is necessary to make the data acquired from many stations through a matching process into one data with a unified coordinate system. However, analytical researches on the accuracy of point cloud data according to the registration method are insufficient. In this study, we tried to analyze the accuracy of registration method of point cloud data acquired through 3D laser scanner. The point cloud data of the study area was acquired by 3D laser scanner, the point cloud data was registered by the ICP(Iterative Closest Point) method and the shape registration method through the data processing, and the accuracy was analyzed by comparing with the total station survey results. As a result of the accuracy evaluation, the ICP and the shape registration method showed 0.002m~0.005m and 0.002m~0.009m difference with the total station performance, respectively, and each registration method showed a deviation of less than 0.01m. Each registration method showed less than 0.01m of variation in the experimental results, which satisfies the 1: 1,000 digital accuracy and it is suggested that the registration of point cloud data using ICP and shape matching can be utilized for constructing spatial information. In the future, matching of point cloud data by shape registration method will contribute to productivity improvement by reducing target installation in the process of building spatial information using 3D laser scanner.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.197-205
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• 2020

Compared to aerial photogrammetry, UAV photogrammetry has advantages in acquiring and utilizing high-resolution images more quickly. The production of 3D models using UAV photogrammetry has become an important issue at a time when the applications of 3D spatial information are proliferating. Therefore, this study assessed the feasibility of utilizing 3D models produced by UAV photogrammetry through quantitative and qualitative analyses. The qualitative analysis was performed in accordance with the LODs (Level of Details) specified in the 3D Land Spatial Information Construction Regulation. The results showed that the features on planes have a high LoD while features with elevation differences have a low LoD due to the occlusion area and parallax. Quantitative analysis was performed using the 3D coordinates obtained from the CPs (Checkpoints) and edges of nearby structures. The mean errors for residuals at CPs were 0.042 m to 0.059 m in the horizontal and 0.050 m to 0.161 m in the vertical coordinates while the mean errors in the structure's edges were 0.068 m and 0.071 m in horizontal and vertical coordinates, respectively. Therefore, this study confirmed the potential of 3D models from UAV photogrammetry for analyzing the digital twin and slope as well as BIM (Building Information Modeling).