• 한국재난정보학회 논문집
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• 제18권2호
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• pp.386-394
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• 2022

연구목적: 건축공사 시 공정별로 발생하는 각종 유해요인을 파악하여 작업환경측정 및 특수건강진단 대상이 되는 근로자들의 건강보호, 증진을 위한 방안에 대하여 알아보고자 한다. 연구방법: 공종별 유해요인분석, 유해요인에 따른 작업환경측정대상과 특수건강진단 항목을 알아볼 수 있다. 연구결과: 건축공사 12개의 공종별 유해요인을 분석하여 작업환경 측정대상과 특수건강 진단항목을 파악할 수 있었다. 결론: 각 공종별 유해요인 분석에 따라 작업환경측정 및 특수건강진단을 정기적으로 실시하므로써 건축근로자들의 직업병예방에 도움이 될 것으로 기대된다.

• 건설안전기술
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• 통권37호
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• pp.74-83
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• 2006

As there are more accidents which are more serious in construction site than other industries, it needs the safety management system to be SLIM on the same time, there are still lots of difficulties to prevent those accidents exactly, so it also needs a safety supervision team to prevent the accident, unsafe operation and condition before happening, which is also called as a Man-to Man safety management method. The range of the job site in one personnel's management is very big and large, so it needs the personnel to deep watch the safety operation and prevent any unsafe/fire accidents; the personnel also should find out the unsafe points in the job site, and carefully supervise the dead angle site, then support the totally safety management POINT and realize the ZERO accident.

• 한국환경과학회지
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• 제9권1호
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• pp.65-74
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• 2000

In this study, we investigated the site feasibility for the construction of the incineration facilities in Won Ju City. To assess the environmental impact of its construction, we examined the current status of air quality in the selected candidate sites and predicted the extent of air quality change upon its operation through modification of stack type. If the stack height is assumed to be 70 m, the concentrations of $SO_2$ and dioxin in the surrounding area were predicted to increase by 0.05 ppb and 0.09 pg/$m^3$, respectively. The impact of its operation was assessed and compared among different sites. According to this analysis, more impact was expected from the residential area for the Dan-Gye site than from agricultural areas of the Kwan-Sul and Sa-Je site.

• 한국BIM학회 논문집
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• 제11권2호
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• 대한안전경영과학회지
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• 제7권4호
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• pp.13-25
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• 2005

As there are more accidents which are more serious in construction site than other industries, it needs the safety management system to be SLIM on the same time, There are still lots of difficulties to prevent those accidents exactly, so it also needs a safety supervision team to prevent the accident, unsafe operation and condition before happening, which is also called as a Man-to-Man safety management method. The range of the job site in one personnel's management is very big and large, so it needs the personnel to keep watch the safety operation and prevent any unsafe/fire accidents. Also the personnel also should find out the unsafe points in the job site, and carefully supervise the dead angle site, then support the totally safety management POINT and realize the ZERO accident.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.341-343
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• 2012

This study introduces a method for computation of process and operation gap in the specific construction operation(i.e., RC frame construction applying a block-grouping scheme) using CYCLONE-based simulation modeling and analysis technique. Since uncertainty of construction environment exists, a thoughtful production planning is required to effectively deal with a risk resulting in schedule delay in advance. This study presents the concepts of a time delay occurred in a process level and operation level in a operation model, and a method of measuring gap-times in each level while the simulation progresses. It helps a site manager to decide how many segmentation in a construction block is suitable for eliminating unproductive time-delays under the constrained resources (e.g., laborer, equipment). A case study presents a network model representing a three segmented RC frame work, and result obtained from the simulation experiment.

• 국제학술발표논문집
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• The 10th International Conference on Construction Engineering and Project Management
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• pp.1019-1026
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• 2024

In the construction industry, there is a growing demand for improving productivity, and development of autonomous operation systems for construction machinery is progressing. Autonomous operation of construction machinery requires positioning information because construction must be carried out at planned locations. In this paper, we focused on Visual Simultaneous Localization and Mapping (Visual SLAM) as a method for obtaining location information for construction machinery and proposed an automated operation system using Visual SLAM. For automated driving, the indirect method based on ORB features is used in Visual SLAM, and processes such as mask processing for surrounding moving objects and measurement of initial positions using markers are performed. With the proposed system, it was confirmed that it is possible to perform automated operation in an experimental environment using the location information output by Visual SLAM. In addition, the experiment was conducted to verify the measurement accuracy when using Visual SLAM during construction work at actual construction sites. As a result, the measurement accuracy was less than 500 mm, which is a usable accuracy for actual construction. By using this system, it is possible to obtain the location information of construction machinery even in environments where GNSS cannot be used, and productivity at construction sites can be improved by performing automated operation.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.669-670
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• 2015

Efficient management of the construction heavy equipment is required to reduce the rate of carbon emissions and on-site accidents. The intelligent excavation system (IES) will improve the construction quality and productivity through information technologies and efficient equipment operation, especially in large earthwork projects. Three-dimensional digitized ground data should be required for identifying the path of heavy equipment and work-site environment. Rapid development of terrain laser scanners (TLS) is more readily to acquire the digital data. This study suggests the '3D ground terrain processing platform (3DGTPP)' including data manipulating module and analyzing module of the scanned data for intelligent earthmoving equipment operation. The processing platform consists of six modules, including scanning, registering, manipulating, analyzing, transmitting, and storing. 3D ground terrain processing platform presented in this study will provide fundamental information for intelligent excavation system (IES), which will increase the efficiency of earthworks and safety of workers in significant.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.517-520
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• 2013

In construction operation, the temporary structure is used to support designed facilities or to provide work spaces for construction activities. Since the structure is used only during the construction operation, the operation may be given insufficient attention. The contractor is likely to try to save cost on the material and labor cost. This contractor's behavior frequently leads to construction accidents. In order to prevent accidents from the failure, the operation should be carefully monitored for identifying the effect of dynamics in the surrounding site area. Otherwise, any unexpected adversary effect could result in a very costly construction failure. This study presents the feasibility of the ubiquitous sensor network (USN) technology in collecting construction data during the construction operation of earth retaining walls. The study is based on the result at the Construction System Integration Laboratory (CSIL) at the Pusan National University. A USN-based system has been developed for monitoring the behavior of the temporary structure of earth retaining walls. The data collected from the sensors were used to understand the behavior of the temporary structure. The result of this study will be used in increasing the safety during the construction operation of retaining walls.

• Journal of Construction Engineering and Project Management
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• 제4권1호
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• pp.45-50
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• 2014

Productivity analysis is the most important and significant method for evaluating management and engineering performance during whole project stage. However, it is very difficult in developing qualitative index to construction industry comparing to other industries. Therefore, analytical hierarchy process (AHP) is one of the methods for overcoming these limitations by checking consistency index using duality comparison. In this study, it is scraped up an application plan and selection for innovative tools by analyzing survey results on tool users and site managers with respect to using Modified-AHP performance measurement method.