• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.135-138
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• 2010

In the construction industry, construction management system using information technology has been applied diversely to increase productivity. Although IT device such as PDA, RFID, Barcode, wireless network and web camera has been introduced in construction site, the usage of these device is restricted, because these cause engineer to do additional work. The suggested process using Digital Pen in this study, which can lessen engineer's additional work, get defect data promptly. Also accumulated data is utilized effectively for analyzing construction site. The purpose of this study is to introduce Digital Pen System as a means of construction data acquisition for improving productivity.

• Journal of the Korean Society of Safety
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• v.19 no.3 s.67
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• pp.101-107
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• 2004

Recently, construction work's tendency has become a high-rise building, a complexity and a large size. According to the KOSHA data, construction work accidents have not been decreased. Looking at from the side of accident accidents of construction industry are occupied over 1/3 among all industry accidents. Therefore, this study will analyze the accident of the building construction work from the data of KOSHA which were collected during 11 years$(1992\~2002)$ data relating to serious accidents of the building construction work suggest the counterplan according to the each work type in building construction work.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.122-123
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• 2018

Although the disaster rate of the industry as a whole is on a downward trend, the disaster rate of the construction industry is on an ongoing trend. Therefore, in this study, we analyzed safety accident statistical data of the construction site over the past three years. As a result of the analysis, the incidence of disasters at small construction sites was very high. And the proportion of disaster occurred for workers who worked in less than 6 months even roughly 92.6%. In addition, as a result of analyzing the form of disaster occurrence, the crash was 34.1% and the fall was 15.1%. The analysis results of these construction safety accidents are to provide as a basic material for developing a policy that can prevent safety accidents and a safety accident prediction model.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.215-216
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• 2023

As the introduction of new climate system, efforts to change carbon neutrality, efforts to convert carbon neutrality. In Korea, we are setting up carbon emissions through greenhouse gas and energy target management system for business and companies that emit carbon emissions. The construction industry quantitatively predict the carbon emissions, but it is struggling to set up the amount of carbon emissions before construction stage, but it is suffering from lack of data. Therefore, this study was conducted by collecting data on the energy usage amount of carbon emissions according to the energy usage of the construction phenomenon and low-capacity prediction of the construction phenomenon. Through collected data, the average energy usage amount by building users and evaluated the average carbon emissions. It also evaluated the contribution of carbon emissions by energy sources.

• Korean Journal of Construction Engineering and Management
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• v.22 no.3
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• pp.12-20
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• 2021

In order to secure construction quality and safety and prevent cost disputes, the importance of calculating 'the appropriate construction period' has recently emerged. It is necessary to analyze a considerable amount of historical data to establish the standard for calculating the construction period. However, many experts are raising questions about the use of past data due to changes in the construction business environment, such as shortening working hours, reinforcing quality regulations, and changing climate conditions. In addition, the possibility of errors increases when calculating a uniform construction period using historical statistics because the work order and productivity are very diverse according to construction conditions. Therefore, through this study, a new solution to change from the method of analyzing past data to the method of reviewing current production data through an active 'transformation of thoughts' was proposed through this study. In other words, the process of reviewing and calculating 'the appropriate construction period' was institutionalized by introducing 'process management experts' and 'construction experts by type of construction' in the design stage.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.58-59
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• 2017

As the construction industry has been increasingly complex, aging workers, hard-working avoiding young generation, foreign workers having language problem for the past decades, delivering of construction qualified workers has been a rising problem. This misalignment between the complex jobs and the number of skilled workers will continue to be in issue that the construction industry will face for following decades. Construction field workers who are working outside in uncontrollable condition unlike manufacturing industry are exposed to easily construction safety accident. There are so many efforts to prevent and control the construction accident. However, the relationships between the construction works and construction safety accident has not been well dealt and investigated based on objective accident data except for the qualitative study through interview, delphi and so on. Therefore this study analyzes job risk matrix exposed to safety accidents based on statistic data for 20 years from Korean Occupational Safety & Health Agency in order to prevent the construction field accidents.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.908-912
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• 2005

Construction Cost Indices are values for measuring fluctuations in direct construction costs which include material costs, labor costs, and equipment costs for construction operations. In Korea, Korea Institute of Construction Technology (KICT) has been assessing and announcing these indices since January, 2004. The main goals of this paper are to look over the calculation process for those indices and then present the trend in construction costs according to the types of facilities with the past construction cost index data. Also, this paper traces the origin of the occurrence of significant changes on those indices through the further analysis of the trend. In addition, this paper shows the practicality of the indices and the way how to put them to practical use. An alternative estimate method using the indices is suggested for compensating the changes of construction costs caused by price fluctuations.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.240-241
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• 2019

Construction disasters have more distinctive characteristics than other industrial disasters. Since it is likely that construction disasters will spread to severe accidents, the accident mortality rate is very high compared to the disaster incidence rate. Therefore, the purpose of this study is to compare and analyze the operation status of construction risk assessment by domestic large and medium sized construction companies to prepare improvement direction of risk assessment system. The survey results for safety management experts of construction companies are as follows: Large companies have developed and utilized risk assessment systems in their respective companies, while small and medium construction companies have developed and evaluated risk factors through the Excel program. Rather than performing risk assessment tasks based on historical safety accident data, construction companies have limitations in developing risk factors and preparing solutions with suppliers for each major construction. Therefore, it is necessary to prepare a risk assessment system in the future by analyzing the types of safety accidents, such as the safety accident data of each company as well as the safety accident data.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.920-927
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• 2009

Many schedule delays and cost overruns in interior construction are caused by a lack of understanding in detailed and complicated interior works. To minimize these potential impacts in interior construction, a systematic approach for project managers to detect discrepancies at early stages and take corrective action through use of visualized data is required. This systematic implementation is still challenging: monitoring is time-consuming due to the significant amount of as-built data that needs to be collected and evaluated; and current interior construction progress reports have visual limitations in providing spatial context and in representing the complexities of interior components. To overcome these issues, this research focuses on visualization and computer vision techniques representing interior construction progress with photographs. The as-planned 3D models and as-built photographs are visualized in a 3D walk-through model. Within such an environment, the as-built interior construction elements are detected through computer vision techniques to automatically extract the progress data linked with Building Information Modeling (BIM). This allows a comparison between the as-planned model and as-built elements to be used for the representation of interior construction progress by superimposing over a 3D environment. This paper presents the process of representing and detecting interior construction components and the results for an ongoing construction project. This paper discusses implementation and future potential enhancement of these techniques in construction.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1324-1327
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• 2009

Social infrastructure is the basis of public welfare and should be recognized and managed as important assets. Bridge is one of the most important infrastructures to be managed systematically because the impact of the failure is critical. It is essential to monitor the performance of bridges in order to manage them as an asset. But current analytical methods such as predictive modeling and structural analysis are very complicated and difficult to use in practice. To apply these methods, structural and material condition data collection should be performed in each element of bridge. But it is difficult to collect these detailed data in large numbers and various kinds of bridges. Therefore, it is necessary to collect data of major measurement items and predict the life of bridges roughly with advanced information technologies. When certain measurement items reach predefined limits in the monitoring bridges, precise performance measurement will be done by detailed site measurement. This paper describes the selection of major measurement items that can represent the tendency of bridge life and introduces automated bridge data collection test-bed using wireless sensor network technology. The following will be major parts of this paper: 1) Examining the features of conventional bridge management system and data collection method 2) Mileage concept as a bridge life indicator and measuring method of the indicator 3) Test-bed of automated and real-time based bridge life indicator monitoring system using wireless sensor network