• Journal of the Korean Society of Marine Environment & Safety
• /
• v.21 no.1
• /
• pp.91-96
• /
• 2015

In this study, we performed a study on prevention of the escape hoist heavy objects on the basis of the case of a disaster occurring during crane operations. A safety hook of the automatic fastening and coupling method by the conventional coupling method, the weight of the outside consisting of a combination of a safety ring structure was designed and manufactured. The main mechanism three-dimensional detail design and structural analysis confirmed the structure and stability of small strain than the allowable stress of the Safety Hook with X-jog through. Safety factor was confirmed to represent the average 1.5 to 1.2 higher than the safety factor to be considered in the general design structure. Therefore, Safety Hook and X-jog in the present study is to be operated upon structural stability is a structure attached to the hoist and crane are considered sufficient.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.118-121
• /
• 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 the Korean Society of Safety
• /
• v.20 no.1 s.69
• /
• pp.137-142
• /
• 2005

This study aims to survey the fatal industrial accidents attributed to crane, and to present their preventive measures based on the results of the survey. The survey was on the basis of 60 fatal accidents caused by crane from January 1998 to July 2003. The results showed that 1) of varying types of crane, fatal accidents were most frequently caused by mobile no: 2) more crane accidents occurred on weekend of Friday and Saturday by a day of the week; 3) experienced crane operators with long length of work or the age of over 40 were more frequently subjected to fatal accidents compared to novice operators; and 4) crane accidents were more attributable to unsafe acts such as poor working method, non-observance for safe working rules, etc. than hardware aspects of crane itself. It is recommended that for reducing crane accidents, more practical education and training for crane operation be reinforced.

• The Safety technology
• /
• no.183
• /
• pp.24-26
• /
• 2013

(주)화인은 전남 광양 포스코 제철소 내에서 크레인, 굴삭기, 휠로더, 무인로더 및 각종 설비를 이용하여 Slag를 처리하고 있는 전문 외주사로, 대한산업안전협회 전남지회가 안전우수사업장으로 적극 추천할 정도로 안전에 대해서는 큰 모범을 보이고 있는 회사다. 이곳은 업종 특성상 폭발, 화재 위험이 매우 크다. 하지만 113명의 임직원 모두가 안전을 최우선으로 하면서 설립(2010년 7월 1일) 이후부터 무사고를 기록, 지난해 10월 안전보건공단으로부터 무재해 2배수를 인정받았다. 이러한 안전에 대한 성과는 작업 능률로 그대로 이어지면서 이곳은 지난 2011년 포스코의 우수 외주 파트너사로 선정되기도 했다. 안전뿐만 아니라 보건 측면에서도 매우 큰 성과를 냈다. 전사적으로 금연 프로그램을 적극적으로 시행하여, 지난해 전남 광양시로부터 '담배 연기 없는 기업'을 수상한 것이다. 위험천만한 제철소 환경 속에서 확고한 안전보건 문화를 구축, 지역사업장의 모범이 되고 있는 (주)화인의 안전관리 활동을 살펴봤다.

• Journal of Korea Port Economic Association
• /
• v.38 no.3
• /
• pp.133-149
• /
• 2022

The Port logistics is a pivotal industry in strengthening competitiveness for countries and companies and plays an important role in accounting for the majority of Korea's import and export volume, so its importance among Korea's industries is truly enormous. The port, which plays such an important role, is simultaneously unloaded, transferred into the dock, and stored, and it can be said that it is composed of a very complex flow. In particular, port unloading is an environment in which port unloading workers cannot escape the risk of disasters as large cargoes and cranes for container transport move, and numerous disasters are hidden and lead to serious disasters. Through literature studies on the Serious Accident Penalty Act, this study investigated how the Serious Accident Penalty Act affected port unloading workers and whether there was a change in satisfaction with safety education according to the enforcement of the Serious Accident Penalty Act. Through this study, it was found that port unloading workers were more aware of safety than managers in cognitive, attitude, and experience factors. Since the port unloading manager is not put into the unloading work, the perception of safety was analyzed to be lower than that of workers. Since managers should educate workers on safe work and be alert to safety, it seems that port unloading managers will also need to change their perception of safety. The Act on the Punishment of Severe Disasters took effect on January 27, 22, and in the early stages of the enforcement of the law, many confusing and ambiguous parts are found for those in charge of performing practical tasks on the front line until the law is settled. It seems necessary to revise the Act on the Punishment of Severe Disasters for the purpose of clear standards for the law and no safety accidents in the field to prevent confusion in work. In addition, in order to derive more meaningful research results in the future, it is expected that research on the perception of disasters by workers and managers will be continuously needed by deepening literature research to find various factors and using investigation methods such as interviews.

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

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.41 no.3
• /
• pp.305-316
• /
• 2021

Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.

• Journal of the Society of Disaster Information
• /
• v.18 no.4
• /
• pp.817-827
• /
• 2022

The real-name safety management system is to indicate "safety" after inspection by construction personnel before workers use it for the purpose of preventing safety accidents caused by unsafe conditions in temporary facilities and temporary constructions installed at construction sites. Purpose: By implementing the real-name system for safety management at construction sites, the objective is to respond to the "Severe Accident Punishment Act" and to improve the level of safety management at the same time. Method: In this study, a hierarchical analysis model was produced through previous studies of actual conditions such as types of safety incidents and causality at construction sites. The AHP model was used to calculate integrated weights and rankings with a pairwise comparison questionnaire for experts. Conclusion: As a result of the analysis of the upper classes, construction machinery was evaluated the highest, and real-name management system was evaluated the lowest. As a result of the lower-level analysis, it was considered that opening doors for safety facility management, tower cranes for construction equipment, management under the "Occupational Safety and Health Act" under the real-name management system, and CEO duties for safety management organizations were the most important.

• Journal of the Korean Society of Safety
• /
• v.22 no.2 s.80
• /
• pp.59-66
• /
• 2007

As the need of handling heavy materials increases, various cranes are used in industries. However, the effectiveness of crane also entails industrial accidents such as falling, constriction etc. In fact, the number of fatal accidents caused by crane is still high in Korea. To find out the causes of the accidents in terms of human error, we developed a man-machine system model that consists of two axes; human information processing and crane life cycle. In the human information processing dimension, we simplified it as five functions; sensing and perception, decision making and memory, response etc. In the crane life cycle dimension, we divided it into nine phases; design, production, operation etc. For the 152 fatal accident records during 1999-2006 years, we classified them into 45 cells made by two axes. Then we identified the preceding causes of the classified crane accident based on performance shaping factors. As the results of statistical analysis, the overall trend of crane fatal accidents was described. For the cause analysis, wrong decision making in work plan phase shows the highest frequency. Next, the poor information input in crane operation followed in accident frequency. In ergonomics view, the problems of interface design in displays and controls made 11.8% of fatal accidents. Following the analysis, several ergonomic design guidelines to prevent crane accidents were suggested.

• Journal of the Korea Safety Management & Science
• /
• v.18 no.1
• /
• pp.9-15
• /
• 2016

In this study, the current regulations to be adequate in industrial site have to be renew in order to prevent the fatal injuries by mobile cranes. Fatal injury analyses were conducted with several accident cases by the mobile cranes. For each accident, the causes of the injuries were examined and proper safety measures were proposed. This study proposed a revision of the standard guideline as an accident prevention measures through in-depth analysis of fatal accidents. First, fatality rate per 10,000 persons by the mobiles cranes was 0.57 in 2011. Second, the in-depth analysis of the mobile crane accidents showed that the main factors of the accidents were the overturn of mobile crane, the fracture of connection part between mobile crane boom and rope, the breaking of rope and the misunderstanding over the signal between a mobile crane driver and workers around a mobile crane. Third, the order of high defection of connecting parts was bucket bolt, bracket and extension parts. Fourth, since there were several cases of overturn of mobile crane by itself in the in-depth analysis of the mobile crane, the over slop-proof device was proposed as the main alternative in this study. Fifth, the revision of standards of safety factor that shall be more than 10, of connecting parts of mobile crane was proposed.