• 제목/요약/키워드: Worker accidents

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Analysis of Workplace Accidents in Automotive Repair Workshops in Spain

  • Lopez-Arquillos, Antonio;Rubio-Romero, Juan Carlos
    • Safety and Health at Work
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    • 제7권3호
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    • pp.231-236
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    • 2016
  • Background: To analyze the effects of the factors associated with different types of injury (superficial wounds, dislocations and sprains, bone fractures, concussion and internal injuries, burns scalding and freezing) caused by occupational accidents in automotive repair workshops. Methods: Study of a sample consisting of 89,954 industry accidents reported from 2003 to 2008. Odds ratios were calculated with a 95% confidence interval. Results: Belonging to a small company is a risk factor for suffering three of the five types of injury studied. Women are less likely to suffer burns and superficial wounds, and more likely to suffer dislocations or sprains. Foreign workers are more likely to suffer concussion and internal injuries. Conclusion: Health and safety strategies and accident prevention measures should be individualized and adapted to the type of worker most likely to be injured in each type of accident. Occupational health and safety training courses designed according to worker profile, and improving the participation of the workers in small firms creating regional or roving safety representatives would improve working conditions.

Customized Safety Information Delivery System for Unskilled Construction Worker Training

  • Jo, Junhyeon;Baik, Sangeun;Pedro, Akeem;Lee, Doyeop;Park, Chansik
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.525-532
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    • 2022
  • Accidents at construction sites in Korea account for more than half of all industrial accidents. To solve this problem, a policy to strengthen safety education was implemented to ensure the safety of workers. However, it was analyzed that there is a high possibility of accidents because workers did not receive proper safety information for each risk factor due to general lecture-style education. In addition, statistics show that the accident status of workers with fewer years of period is high, indicating that a customized information delivery method needs to be proposed for unskilled workers with fewer years of period. Research on the importance of education has been conducted, but no information delivery method has been identified. For unskilled workers to effectively receive safety information, appropriate delivery formats (text, photos, illustrations, 4D-BIM, 360-based panorama, video, animation) were analyzed, and a new method of education was proposed. If customized safety information is provided according to this proposal, effective information delivery to unskilled workers will be possible, and it is expected to be verified in various ways.

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중대사고 시 보조건물 내 작업자 피폭선량 평가 방법론 개발 (Development of a Methodology for Evaluating Radiation Dose to Workers in Auxiliary Building under Severe Accidents)

  • 김준혁;김병조;배진형
    • 방사선산업학회지
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    • 제18권3호
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    • pp.217-221
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    • 2024
  • This study aims to evaluate the radiation dose received by workers within the auxiliary building of the Saeul Units 1 and 2 during a severe accident. To achieve this, representative accident scenarios were selected, and operator actions required by the severe accident management guidelines were derived to present a methodology for dose assessment. The study utilized MAAP5.06 to analyze severe accidents and employed MAAP DOSE to evaluate worker radiation exposure. Among the three operator actions considered, the direct spray action on the reactor building outer wall-side penetration resulted in the highest estimated radiation dose. This is likely because the workers are deployed near the reactor building penetration, exposing them to higher radiation levels. Future plans include the optimization of dose performance by comparing these findings with evaluations conducted using MCNP, and the development of a data-driven ALARA decision support system for predicting and diagnosing radiation exposure on nuclear sites to ensure worker safety during severe accidents.

모 금속 제조 업체에서 5년간 발생한 안전사고에 관한 조사 (A Study on Safety Accidents Occurred for 5 Years at a Welding Material Manufacturing Factory)

  • 임현술
    • Journal of Preventive Medicine and Public Health
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    • 제28권3호
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    • pp.551-562
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    • 1995
  • To assess the status of safety accidents, authors reviewed and analysed the records of safety accidents of a welding material manufacturing factory at Pohang city from January 1989 to December 1993. The results are; 1. The total incidence of safety accidents was 295 spells for five years. 2. Average age of workers with accident was 35.7 years. Average duration of employment was 6.2 years and the duration of employment increased as the year increased. 3. There was no statistical significance on season, month, weekday and time by year in the incidence of safety accidents. The most frequent part of body injured was upper extremities and the most frequent type of injury was abrasion. 4. Mean admission rate of safety accidents was 12.6% and the ratio of treated spells as occupational injury was 7.8%. 5. The most frequent cause of injury was worker's mistake and the most frequent action for the prevention of further accidents was safety education. 6. The incidence rate of safety accidents on 1993 was 116.2 spells per 1,000 persons. Above results suggest that to prevent safety accidents, safety education should be done continuously, the environmental and human factors were controlled and more exact reporting system of safety accidents was needed.

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A Human Movement Stream Processing System for Estimating Worker Locations in Shipyards

  • Duong, Dat Van Anh;Yoon, Seokhoon
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.135-142
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    • 2021
  • Estimating the locations of workers in a shipyard is beneficial for a variety of applications such as selecting potential forwarders for transferring data in IoT services and quickly rescuing workers in the event of industrial disasters or accidents. In this work, we propose a human movement stream processing system for estimating worker locations in shipyards based on Apache Spark and TensorFlow serving. First, we use Apache Spark to process location data streams. Then, we design a worker location prediction model to estimate the locations of workers. TensorFlow serving manages and executes the worker location prediction model. When there are requirements from clients, Apache Spark extracts input data from the processed data for the prediction model and then sends it to TensorFlow serving for estimating workers' locations. The worker movement data is needed to evaluate the proposed system but there are no available worker movement traces in shipyards. Therefore, we also develop a mobility model for generating the workers' movements in shipyards. Based on synthetic data, the proposed system is evaluated. It obtains a high performance and could be used for a variety of tasksin shipyards.

철도 사고 및 장애의 인적오류 유형 분석 (An Analysis of Human Error Mode and Type in the Railway Accidents and Incidents)

  • 고종현;정원대;김재환
    • 한국안전학회지
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    • 제22권4호
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    • pp.66-71
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    • 2007
  • Human error is one of the major contributors to the railway accidents or incidents. In order to develop an effective countermeasure to remove or reduce human errors, a systematic analysis should be preferentially performed to identify their causes, characteristics, and types of human error induced in accidents or incidents. This paper introduces a case study for human error analysis of the railway accidents and incidents. For the case study, more than 1,000 domestic railway accidents or incidents that happened during the year of 2004 have been investigated and a detailed error analysis was performed on the selected 90 cases, which were obviously caused by human error. This paper presents a classification structure for human error analysis, and summarizes the analysis results such as causes of the events, error modes and types, related worker, and task type.

열차운행선 지장공사에 대한 위험도 평가 연구 (A Study on the Risk Assessment for Works on/near Operating Line)

  • 정도현;왕종배;이수룡
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 추계학술대회 논문집
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    • pp.1515-1524
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    • 2008
  • In this study, railway accidents from constructing or maintaining works on/near operating line were reviewed during 2005-2007 years. Causes and hazards analysis of these accidents was performed to make an accident scenario for risk assessments. And the risk of worker casualty on/near operating line was quantitatively assessed. Also a constitution method of Risk Matrix for manage tolerable risk level was proposed.

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보관작업장 사고방지 예방에 관한 연구: 렉 작업장을 중심으로 (A Study on Cargo Picking Safety Work: Focusing on Rack Work Place)

  • 정병현;김기홍
    • 대한안전경영과학회지
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    • 제24권3호
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    • pp.23-28
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    • 2022
  • Rack is a place to store products. Workers pick products from rack storage. After picking up, workers move to another location by forklift. Driving speed, worker condition, and number/frequency of operation is responsible for forklift accidents. When an accident occurs, products get damaged. Therefore, it is important to prevent one. As the research result, To prevent forklift accidents, the minimum order quantity, the minimum number of operations, and low speed operation are required.

화학 관련 산업의 중대 재해 원인분석을 통한 안전관리 중요성에 관한 연구 (A Study on the Importance of Safety Measurement Based on the Analysis of the Factors Leading to Serious Accidents Related to Chemical Industries)

  • 안형환
    • 한국가스학회지
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    • 제19권1호
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    • pp.45-50
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    • 2015
  • 화학 관련 산업에서의 중대재해 발생 사고를 업종별로 분류하여 방호시설, 설비결함, 기인물 및 불안전 행동 그리고 고용형태 등에 대한 영향을 살펴보고자 하였다. 이에 다음과 같은 결과를 얻었다. 첫째 화학 관련 업종 중에서 화학물 및 화학제품 제조업이 중대재해자 수가 가장 많은 것을 알 수 있었고, 그 중에서도 특정방호시설에 집중되고 있는 것을 파악하였다. 둘째 고용형태에 따른 중대재해는 주로 임시직 및 일용직이 아닌 상용직 경력자들에서 일어나는 것을 알 수 있었으며 피해 형태는 주로 대형사고로 인한 4명이상 사망자가 발생하는 피해가 발생하는 것으로 파악되었다.

AI기반 건설현장의 외국인 근로자 안전사고 예측을 위한 기본 연구 (AI-based basic research to predict safety accidents for foreign workers at construction sites)

  • 김지명;이준혁;김경빈;오창현;오창연;손승현
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2023년도 가을학술발표대회논문집
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    • pp.251-252
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    • 2023
  • Compared to other industries the construction industry experiences more casualties and property damage due to safety accidents. One of the reasons is the increasing number of foreign workers. For this reason, past studies have found that foreign workers at construction sites are more exposed to safety accidents than non-foreign workers. Nevertheless the proportion of foreign workers involved in safety accidents at construction sites is increasing, and there has been a lack of research to predict the risk of safety accidents at construction sites. Additionally, realistic safety management is lacking due to a lack of safety accident risk prediction research. Therefore, in this study, we would like to propose basic research that proposes an AI-based safety accident prediction model framework for predicting safety accidents of foreign workers at construction sites. The framework and results of this study will contribute to reducing and preventing the risk of safety accidents for foreign workers through risk prediction for safety management of foreign workers at construction sites.

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