• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.187-192
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• 2020

In the past 20 years, accidents in the construction industry have declined in absolute numbers. On the other hand, disasters occurring at small and medium-sized construction sites account for more than 80% of the entire construction industry and are showing a continuous increase. A system for preparing a safety and health register in stages was enacted to preemptively prevent accidents by mandating responsibility for safety to owners with relatively strong authority in the construction industry. Considerable is needed to become an effective legal system. Although there have been many studies related to safety management plans and hazard prevention plans, there are no studies on the safety and health register. Therefore, in this study, an improved safety management procedure connected with the orderer's safety and health management procedure was presented as a plan for reducing accidents at small and medium-sized construction sites. All information was made as a data-based procedure to reduce the burden on the manager. The results of this study are expected to be used as basic data for the development of a safety management support information system for small and medium-sized construction sites.

• Journal of the Korean Society of Safety
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• v.34 no.5
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• pp.78-86
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• 2019

Various safety measures have been established and implemented in order to reduce construction accidents. However, statistics data on at construction sites still show higher accident and mortality rates than other industries. As a result of investigating the causes of accidents occurring in the construction industry, most accidents resulted from the failure of the system. Therefore, the existing safety management system of the construction site is monitored so that it operates properly in the field, and it is an important factor to actively participate in construction work. In order to overcome this, the government emphasized on-site inspections and planning and implementation confirmation by public institutes to ensure the effectiveness of the safety management system through amendment of the Construction Technology Promotion Act, but the orderer' safety capability and manpower are insufficient at present. Therefore, in this study, the safety management system, such as design for safety, safety management plan, safety check, safety management cost, etc. specified in the Construction Technology Promotion Act, is regularly checked and confirmed to improve the effectiveness of the safety management system as well as to improve the safety management system of the construction site by deriving measures to strengthen the public function of the government.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.69-70
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• 2020

Accidents in the construction industry are very high compared to other industries, and the number is also increasing steeply every year. Relevant studies were limited for solving the problems. The purpose of this study is to develop a comprehensive risk prediction process for personnel deployed at construction sites on safety management. First of all, the variables were divided into fixed, real-time and working types variables, and the relevant comprehensive data were collected. Second, the probability of a disaster was derived based on the collected data, and weights for each variable were calculated using the dummy regression analysis method using statistical methodology. Lastly, the resulting weighting and disaster probability equation was constructed, and The Final Risk Calculation Formula was developed. The Final Risk Calculation Formula presented in this study is expected to have a significant impact on the establishment of effective safety management measures to prevent possible safety accidents at construction sites

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.94-95
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• 2019

Recently, the importance of prevention has emerged for the management of construction safety accidents.. Accordingly, this study collects and quantifies various risk factors at the construction site to represent them as direct risks and to create a predictive process for prevention in advance. These risk figures can be used as comprehensive safety figures to reflect current site conditions and past accidentt cases. The prevention of industrial accidents is managed in advance through the development of applications thatt quantify and predict the risks of individuals working at construction sites. The purpose of the project is to reduce industrial accidents in the construction industry by supporting safety management of site managers and workers.

• Journal of the Korea Institute of Building Construction
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• v.14 no.5
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• pp.451-457
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• 2014

The construction industry has a higher mortality rate of accidents than other industries although safety is recently being more important, and it has become a serious problem that needs to be improved. To reduce the number of accidents at construction sites, improving the safety awareness of construction workers is urgent because the lack of safety awareness is one of the key reasons for construction accidents. For this reason, this study compares and analyzes the safety awareness of construction managers and construction workers. Our research shows that the safety awareness of construction workers is lower than that of construction managers, and they have a different perspective on safety management. The development plan for improving the safety awareness of construction workers based on these results is proposed, and it will potentially help reducing the frequency of accidents at building construction sites.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.55-56
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• 2020

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.47-54
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• 2021

According to the Korea Occupational Safety and Health Agency's (KOSHA) report on industrial accident statistics over the past four years, the number of casualties at construction sites from 2017 to June 2020 was about 93,158 and the number of deaths was about 1,977, showing a high trend of safety accidents among the eight major occupational groups, with the construction industry ranking third in total and the death rate being the highest in total. Among them, the number of deaths caused by falls in the entire occupational category is about 1,267, the highest rate of deaths due to contact is about 522, which is a frequent safety accident among the top three accident types. This paper aims to help reduce the overall proportion of construction safety accidents by developing smart safety sensing devices using ultrasonic sensors to prevent two types of safety accidents, which have the highest rate of occurrence among various types of safety accidents occurring at construction sites.

• Journal of the Korea Institute of Building Construction
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• v.17 no.6
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• pp.587-594
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• 2017

The construction industry generates the greatest number of disasters. Laborer injury at construction sites is mostly reported by small and mid-sized construction sites. Moreover, of the injuries, the greatest number is related to formwork. The objective of this study is to propose a checklist of the risk factors of formwork, in which industrial injuries occur most frequently in small and mid-sized construction sites, with which safety management can be done thoroughly. Risk factors and preventive measures are derived by analyzing 9,396 industrial disasters occurring at construction sites in Korea. The checklist drawn in this study was reviewed by five specialists in safety management, and applied to construction sites to verify its applicability. In a result, applying the checklist to the site showed that the safety management system of small and medium-sized construction sites were insufficient. It is expected to contribute to the effective safety management of small and mid-sized construction sites.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.609-615
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• 2024

The construction industry's fatality count stands at 402, comprising approximately 46% of total industrial accidents. Notably, construction costs less than 5 billion won account for about 69%, so strengthening safety management at small and medium-sized construction sites is required. In this study, 19,511 accident investigation data were collected using web scraping. Through statistical analysis of the collected structured data and text mining analysis of the unstructured data, accident types and causes of accidents were analyzed by construction costs at sites less than 5 billion won. As a result, it was confirmed that there were differences in accident types and causes depending on the construction costs. It is hoped that the results of this study will be used for customized safety management at small and medium-sized construction sites.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.136-144
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• 2022

Construction sites are characterized by dangerous situations and environments that cause fatal accidents. Potential risk detection needs to be improved by continuously monitoring site conditions. However, the current labor-intensive inspection practice has many limitations in monitoring dangerous conditions at construction sites. Computer vision technology that can quickly analyze and collect site conditions from images has been in the spotlight as a solution. Nonetheless, inspection results obtained via computer vision are still stored and managed in centralized systems vulnerable to tampering with information by the central node. Blockchain has been used as a reliable and efficient decentralized information management system. Despite its potential, only limited research has been conducted integrating computer vision and blockchain. Therefore, to solve the current safety management problems, the authors propose a framework for construction site inspection that integrates object detection and blockchain network, enabling efficient and reliable remote inspection. Object detection is applied to enable the automatic analysis of site safety conditions. As a result, the workload of safety managers can be reduced with inspection results stored and distributed reliably through the blockchain network. In addition, errors or forgery in the inspection process can be automatically prevented and verified through a smart contract. As site safety conditions are reliably shared with project participants, project participants can remotely inspect site conditions and make safety-related decisions in trust.