• Journal of the Korea Institute of Building Construction
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• v.21 no.5
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• pp.397-408
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• 2021

The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.121-126
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• 2019

Despite the trend of decreasing accidents, falling accidents in the construction industry have not decreased and are even rising. Most major accidents are falling accidents caused by hanging scaffolding and are mostly serious. We conducted a review of the literature, institutions, and regulations, which showed that domestic standards are not unified because they are drawn up by referring to overseas standards for hanging scaffolding. New regulations or standards should be established, which should reflect the safety plans for equipment, work advance plans, education, and management. If facility improvement plan for Hanging Scaffolding and implementation of revision of the current work use, regulations and guides are implemented, it will be recognized in advance of the causes of the accident statistics and the classification system and will be the basis for the implementation of joint efforts by workers, managers, supervisors and owners to reduce accidents.

• Korean Journal of Construction Engineering and Management
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• v.8 no.2
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• pp.68-74
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• 2007

It has been recognized that safety management is activated during the construction phase to prevent accidents and fatalities of workers. However, It is revealed that about 15% of fatal death accidents is caused by the lack of management of planning and design phases. There is a crucial need of assessing safety risk during building design phase. This paper is aimed to develop a safety risk assessment checklist that can be used during building design phase, utilizing the concept of Design for Safety. In doing so, a broad literature survey on safety management of building Process, various safety risk assessment toolboxes being utilized in the HSE and the BAA of UK. The proposed checklist contains the followings: 1) classification structure for safety design on space, element, and trade work 2) hazard risk factor, probability and degree of intensity of accident occurrence, and 3) safety assessment criteria. It is expected that the checklist would be an effective tool of preventing and minimizing fatal accidents of building construction projects.

• Journal of the Korea Institute of Building Construction
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• v.20 no.5
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• pp.471-480
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• 2020

Although the domestic industrial accidents have been decreased gradually, deaths in the construction sites have been occupied 49.9 percent of the total industry and deaths from fall accident have been accounted for 59.7 percent of the construction industry. In order to prevent fall accident, various safety activities and policy have been carried out. However, the impact on the domestic construction industry was inadequate. On the other hand, in advanced countries, such as the United States, Japan, EU, and Singapore Industrial accidents have been lower than domestic industry due to safety activities, the regulations and policies appropriate for each country's situation. In this study, we compare the major points of the Industrial Safety and Health Act in developed countries with those in South Korea to reduce the number of falls, and propose a revision. As a result of conducting research, three revisions have been proposed as 1) Enhance standards for fall height, 2) Improvement of upper safety rail height on guardrail, 3) Revision and research on Horizontal Sarety bar attachment system. This study will be utilized as a basic study for the analysis of cases in advanced countries.

• Journal of the Korea Institute of Building Construction
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• v.19 no.3
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• pp.247-254
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• 2019

The number of construction accident deaths in Korea is increasing and most causes of construction accidents are human factors. Voluntary participation of construction workers in safety activities is likely to improve these human factors and increase the prevention effect of construction accidents. Therefore, there is a need to study the motivation of workers to meet the voluntary participation of construction workers. In this respect, the purpose of this study is to compare the importance of construction field engineers and construction managers about the safety motivation factors of construction workers. This study analyzed the results of the questionnaire survey about safety motivation factors and conducted a T-test for these factors. The results of this study can be used as managing method to effective on-site safety management by minimizing the difference between the two groups according to motivation factors of construction workers.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.316-321
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• 2007

The casualties due to slope failures such as landslide, rock fall, debris flow etc. are about 24% in total casualties caused by natural disasters for the last 10 years. And these slope failures are focused in the season in which typhoon and torrential rain take place. Not much attention, however, have been put into landslide mitigation research. Meanwhile, USN(Ubiquitous Sensor Network) forms the self-organization network, and transfers the information among sensor nodes that have computing technology ability. Accordingly, USN is embossed a social point technology. The objective of this paper is to develop a prototype system for slope failure monitoring using USN technology. For this we develop module that collects and change slope movement data measured by two tiltermeter and a tension wire, store transferred data in database. Also we develop application program that can easily analyze the data. We apply the prototype system to a test site at KICT for testing and analyzing the system's performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.176-181
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• 2019

According to the 2017 Industrial Accident Analysis by Age, 71.8 % of construction disaster victims and 74.9 % of the deaths were workers aged 50 years or older, highlighting the seriousness of industrial accidents among aged construction workers. In this study, 303 construction workers aged 50 or older and 178 safety managers were surveyed on ways to improve the basic occupational safety and health education for senior workers in the construction industry. According to a comparison of the safety awareness for safety education by senior workers and safety managers, the safety manager showed a higher sense of safety for education than elderly workers. Regarding the remuneration education for those who had received basic occupational safety and health education in the construction industry, 69.9 percent said that regular remuneration education was needed, and 69.9 percent of them said that basic occupational safety and health repair education in the construction industry was needed every three years after the completion of education. This study is intended to present improvement plans for repair education for those who have completed basic occupational safety and health training in the construction industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.118-121
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• 2022

국내 산업재해 사고 사망자의 상당수가 건설업에서 발생하고 있다. 건설 현장에는 굴삭기, 크레인과 같은 중장비가 많고 높은 곳에서 작업하는 경우가 흔해 위험 요소에 노출될 가능성이 높다. 물리적 사고 외에도 작업 중 발생하는 미세먼지에는 여러 유해 인자가 존재하여 건설근로자들에게 호흡기질환과 같은 직업병을 유발한다. 정부에서는 산업현장 안전 관리의 중요성이 증가함에 따라 각종 산업재해로부터 근로자를 보호하기 위한 법안을 마련하였다. 따라서 건설 현장의 경우 산업재해를 방지하기 위해서 위험요소를 사전에 인지하고 즉각 대응할 수 있는 기술이 필요하다. 본 연구에서는 인공지능(AI)과 사물인터넷(IoT)을 통한 자동화 기술을 활용하여 24시간 안전 관리 시스템을 제안한다. 제안하는 IoT 기반 통합안전 관리 시스템은 AI를 적용한 CCTV를 통해 산업 현장을 모니터링하고, 다수의 IoT 센서가 측정한 수치를 근로자 및 관리자가 실시간으로 확인할 수 있게 하여 산업 현장 내 안전사고를 예방한다. 구체적으로 어플리케이션을 통해 미세먼지 농도, 가스 농도, 온도, 습도, 안전모 착용 여부 등을 모니터링할 수 있다. 모니터링 중에 유해물질의 농도가 일정 수치를 넘기거나 안전모를 착용하지 않은 근로자가 발견될 경우 근로자 및 관리자에게 경고 알림을 발송한다. 유해물질 농도는 IoT 센서를 통해 측정하며 안전모 착용 여부는 카메라 센서에 딥러닝 모델을 적용하여 인식하였다. 본 연구에서 제시한 통합안전관리시스템을 통해 건설현장을 비롯한 산업현장의 산업재해 감소와 근로자 안전 증진에 기여할 수 있을 것으로 기대한다.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.45-63
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• 2019

The number of domestic construction company is expanding every year while the construction workers' exposure to disaster risk is increasing due to technological advancements and popularity of high-rise buildings. In particular, the industry faces greater fatalities and severe large scale accidents because of construction industry characteristics including influx of foreign workers with different language and culture, large number of aged workers, outsourcing, high place work, heavy machine construction. The construction industry is labor-intensive, which is to be completed under given timeline and consists of unique working environment with a lot of night shifts. In addition, when a fixed construction budget is not secured, there is less investment in safety management resulting in poor risk management at the construction site. Taking account that the construction industry has higher accident risk rate and fatality rate, risky and unique working environment, and various labor pool from foreign to aged workers, preemptive safety management through risk factor identification is a mandatory requirement for the construction industry and site. The study analyzes about 8,500 cases of construction accidents that occurred over the past 10 years and identified risk factor by construction industry sector to secure a systematic insight for risk management. Based on interrelation analysis between accident types, work types, original cause materials and assailing materials, there is correlation between each analysis factor and work industry. Especially for work types, there is great correlation between work tasks and industry type. For reinforced concrete and earthwork are among the most frequent types of accidents, and they are not only high in frequency of accidents, but also have a high risk in categories of occurrence.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.916-923
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• 2023

Purpose: Looking at the status of fatal accidents in the construction industry in the 2022 Industrial Accident Status Supplementary Statistics, 27.8% of all fatal accidents in the construction industry are caused by construction equipment. In order to overcome the limitations of tours and inspections caused by the enlargement of sites and high-rise buildings, we plan to build a model that can extract construction equipment using computer vision technology and analyze the model's accuracy and field applicability. Method: In this study, deep learning is used to learn image data from excavators, dump trucks, and mobile cranes among construction equipment, and then the learning results are evaluated and analyzed and applied to construction sites. Result: At site 'A', objects of excavators and dump trucks were extracted, and the average extraction accuracy was 81.42% for excavators and 78.23% for dump trucks. The mobile crane at site 'B' showed an average accuracy of 78.14%. Conclusion: It is believed that the efficiency of on-site safety management can be increased and the risk factors for disaster occurrence can be minimized. In addition, based on this study, it can be used as basic data on the introduction of smart construction technology at construction sites.