• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.11a
• /
• pp.265-266
• /
• 2023

Recently, many disasters have occurred due to poor management of construction site. In addition, as legal regulations on safety management at construction sites are strengthened, its importance is being further emphasized. In relation to smart safety management technology, a study was introduced to build an analysis model through various safety-related data collected within construction companies. This model derives quantitative disaster risk about the site level through information related to past disasters and near misses. However, construction work is performed separately by work group of each partner company. There is a limitation in that individual workers cannot directly experience this analysis information. In this study, we propose a method to derive the safety disaster risk of individual work units from disaster risk of the site level. We expect that this study to be helpful for smart safety management technology of construction sites.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2002.03b
• /
• pp.11-24
• /
• 2002

Many GIS systems are not to be trusted becuase many GIS project managers often fail to notice importance of GIS data Construction. With this reason, it is a lively discussion on GIS administration system's adaption. The definition of GIS administration system is not clear, but GIS administration system generally is devided information system administration, audit guideline for the data construction of GIS. Audit guideline for the data construction of GIS. GIS data construction's goals are logical and reasonable action policy of GIS data construction in widespread filed, the other goal is creation of product to the purpose exactly. Audit guideline for the data construction of GIS is composed of optimum of GIS data construction's planning, optimum of GIS data construction's activity, optimum of GIS data quality management, optimum of consultations of GIS data construction, GIS data audit. GIS data audit is the phase of detection product's potential error in each level. GIS data audit is composed of filed examination or filed verification, examination with the naked eye, screen verification, program verification, auto verification. GIS information system's efficiency is linked with auto verification system's function variety, accuracy. this paper offer introduction of Audit guideline for the data construction of GIS, efficient auto verification program

• Smart Structures and Systems
• /
• v.15 no.4
• /
• pp.1019-1039
• /
• 2015

Shanghai Tower is a composite structure building with a height of 632 m. In order to verify the structural properties and behaviors in construction and operation, a structural health monitoring project was conducted by Tongji University. The monitoring system includes sensor system, data acquisition system and a monitoring software system. Focusing on the health monitoring in construction, this paper introduced the monitoring parameters in construction, the data acquisition strategy and an integration structural health monitoring (SHM) software. The integration software - Structural Monitoring/ Analysis/ Evaluation System (SMAE) is designed based on integration and modular design idea, which includes on-line data acquisition, finite elements and dynamic property analysis functions. With the integration and modular design idea, this SHM system can realize the data exchange and results comparison from on-site monitoring and FEM effectively. The analysis of the monitoring data collected during the process of construction shows that the system works stably, realize data acquirement and analysis effectively, and also provides measured basis for understanding the structural state of the construction. Meanwhile, references are provided for the future automates construction monitoring and implementation of high-rise building structures.

• The Journal of the Acoustical Society of Korea
• /
• v.15 no.2
• /
• pp.61-71
• /
• 1996

In this paper, dialogic triphone data base construction for triphone synthesis system is discussed. Particularly, in this work, dialogic speech data is collected from the broadcast media, and three different transcription steps are taken. Total 10 hours of speech data are collected. Among them, six hours of speech data are used for the triphone data base construction, and the rest four hours of data are reserved. Dialogic speech data base construction is far different from the reciting speech data base construction. This paper describes various steps that necessary for the dialogic triphone data base construction from collecting speech data to triphone unit labeling.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2011.11a
• /
• pp.185-187
• /
• 2011

The purpose of this study is to develop and apply the oversea construction competitiveness evaluation model which measures the competitiveness of construction companies in global construction market. This model consists of the design and construction competitiveness indexes by ENR statistic data and provides the oversea construction competitiveness index based on the evaluation model.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.2
• /
• pp.15-24
• /
• 2010

The managerial effort to acquire and maintain detailed construction control data has been the major barrier to improving the effectiveness of construction project management. Therefore, utilizing data acquisition technologies (DAT) can greatly improve the construction management processes by automating the data collection. Even though many researches attempted to explore the DAT utilization in construction, there has been no comprehensive study that examine the viability of DAT usage from a comprehensive perspective. In this context, the purpose of this study is to investigate the current efforts and future recommendation of DAT implementation in the construction industry.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1068-1074
• /
• 2009

The progress is widely used as a critical index for successful construction project management. In spite of the importance of progress measurement, the excessive management effort to collect and maintain detailed data has been highlighted as a major barrier to measurement of highly accurate progress. In order to reduce the required workload and to enhance accuracy, several researches have been conducted. These researches can be categorized into two groups. First group focuses on automated data collection utilizing advanced technologies only for limited construction tasks. The second group is a research area where the standard progress measurement methodologies encompassing entire construction tasks are investigated. Topics include the adjusting the level of details, standardizing work processes, and applying flexible WBS. However, the techniques for automated data collection are not fully investigated yet in the second group. Combining these two research areas can provide a solution for more effective progress management in terms of enhancing accuracy and optimizing workload. However, there has been no comprehensive research addressing these two research groups in an integrated manner. In this context, the purpose of this paper is to propose a methodology that identifies the most suitable measurement method and data acquisition technology (e.g., GPS, RFID, etc.) for entire construction tasks of a project. The proposed methodology in this paper will be able to facilitate the selection process of data acquisition technologies for entire construction tasks of a project and to support the overall enhancement of automated progress management.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.5
• /
• pp.343-349
• /
• 2021

In The process from design to construction in the existing construction work was less efficient due to the contradictory approach of identifying the 3D state in the plan view and the repeated generation of surveys, floor plans, drawings. Accurate 3D design data is essential for smart construction. However, most of the existing related studies have focused on explaining the development method and main functions of equipment or improving the productivity of smart construction. Therefore, in this study, the utility of 3D design model generation for smart construction and construction survey using 3D laser scanner was evaluated. Plane and vertical road alignment were created using the specifications of the road. The generated road alignment was created as a three-dimensional corridor design using cross-sections at intervals of 20m. In addition, it was possible to create a DTM (Digital Terrain Model) using a digital map and effectively create a 3D design model for the study area through overlapping. Construction survey using a 3D laser scanner showed accuracy within 10cm as a result of the accuracy evaluation. These results proved that construction surveying using a 3D laser scanner is possible because it satisfies the acceptable accuracy of the relevant regulations modeling of target areas using 3D design and construction survey using 3D laser scanner can be a way to address shortcomings of existing GNSS (Global Navigation Satellite System) methods. And accurate 3D data will be used as essential data as basic data for smart construction.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.893-903
• /
• 2022

Recently, computer vision (CV)-based safety monitoring (i.e., object detection) system has been widely researched in the construction industry. Sufficient and high-quality data collection is required to detect objects accurately. Such data collection is significant for detecting small objects or images from different camera angles. Although several previous studies proposed novel data augmentation and synthetic data generation approaches, it is still not thoroughly addressed (i.e., limited accuracy) in the dynamic construction work environment. In this study, we proposed a game engine-driven synthetic data generation model to enhance the accuracy of the CV-based object detection model, mainly targeting small objects. In the virtual 3D environment, we generated synthetic data to complement training images by altering the virtual camera angles. The main contribution of this paper is to confirm whether synthetic data generated in the game engine can improve the accuracy of the CV-based object detection model.

• Proceedings of the KSR Conference
• /
• 2000.05a
• /
• pp.503-510
• /
• 2000

Recently, many kinds of research has been actively developing for a standardization and information related to the construction works. These works include the general field of design, construction, supervision, maintenance and management on facilities. The works of database construction for a standardization and information were chiefly propelled centering around the present conditions related to the design, construction work. The field related to maintenance and management on facilities lags behind in the works of database construction. The establishment of standard classification system(SCS) on facilities and inspection data is most important among the things related to maintenance and management to have a efficiently maintenance and management. This paper suggests SCS on facilities and inspection data according to that of facilities. On the basis of SCS of facilities and inspection data, code work with classification system and input work for a data of maintenance and management was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on tunnel structures