• Title/Summary/Keyword: Accident Occurrence

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A Study on the Improvement of Crisis Alerts of Disaster-related Crisis Management Standardized Manuals (재난 관련 표준매뉴얼의 위기경보 개선방안에 관한 연구)

  • Kim, Yong-Soon;Choi, Don-Mook
    • Fire Science and Engineering
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    • v.32 no.6
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    • pp.126-133
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    • 2018
  • Korea has been preparing and operating crisis management standardized manuals so that over 30 disaster types that need to be managed at the national level can be selected and systematically managed. This study analyzed the crisis alert levels of two standard manuals related to the case with reference to the contents of the Framework Act on the Management of Disaster and Safety and National Crisis Management Basic Guidelines. According to the Act and Guidelines, crisis alerts are issued before a crisis or disaster, but the criteria of crisis alerts of the two manuals showed that the national crisis had already occurred and the disaster occurred due to a marine vessel accident at the serious level. In addition, the results of timing of issuance of crisis alert were reviewed. If the signs can be identified, a crisis alert may be issued prior to the occurrence of the incident, but a crisis alert cannot be issued when an incident occurs without a sign. In the case of an incident where there are no signs, but there is a possibility of spreading to a national level disaster, the disaster management supervision agency could issue a crisis alert.

Issue Analysis on Gas Safety Based on a Distributed Web Crawler Using Amazon Web Services (AWS를 활용한 분산 웹 크롤러 기반 가스 안전 이슈 분석)

  • Kim, Yong-Young;Kim, Yong-Ki;Kim, Dae-Sik;Kim, Mi-Hye
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.317-325
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    • 2018
  • With the aim of creating new economic values and strengthening national competitiveness, governments and major private companies around the world are continuing their interest in big data and making bold investments. In order to collect objective data, such as news, securing data integrity and quality should be a prerequisite. For researchers or practitioners who wish to make decisions or trend analyses based on objective and massive data, such as portal news, the problem of using the existing Crawler method is that data collection itself is blocked. In this study, we implemented a method of collecting web data by addressing existing crawler-style problems using the cloud service platform provided by Amazon Web Services (AWS). In addition, we collected 'gas safety' articles and analyzed issues related to gas safety. In order to ensure gas safety, the research confirmed that strategies for gas safety should be established and systematically operated based on five categories: accident/occurrence, prevention, maintenance/management, government/policy and target.

Categorical Prediction and Improvement Plan of Snow Damage Estimation using Random Forest (랜덤포레스트를 이용한 대설피해액에 대한 범주형 예측 및 개선방안 검토)

  • Lee, Hyeong Joo;Chung, Gunhui
    • Journal of Wetlands Research
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    • v.21 no.2
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    • pp.157-162
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    • 2019
  • Recently, the occurrence of unusual heavy snow and cold are increasing due to the unusual global climate change. In particular, the temperature dropped to minus 69 degrees Celsius in the United States on January 8, 2018. In Korea, on February 17, 2014, the auditorium building in Gyeongju Mauna Resort was collapsed due to the heavy snowfall. Because of the tragic accident many studies on the reduction of snow damage is being conducted, but it is difficult to predict the exact damage due to the lack of historical damage data, and uncertainty of meteorological data due to the long distance between the damaged area and the observatory. Therefore, in this study, available data were collected from factors that are thought to be corresponding to snow damage, and the amount of snow damage was estimated categorically using a random forest. At present, the prediction accuracy was not sufficient due to lack of historical damage data and changes of the design code for green houses. However, if accurate weather data are obtained in the affected areas. the accuracy of estimates would increase enough for being used for be the degree preparedness of disaster management.

Study on the Improvement of Inspection-Related Regulation of Fire Protection Systems and Equipment - Focused on the Fire Administration Process - (소방시설 자체점검 관계법령의 개선방안에 대한 연구 - 소방행정프로세서를 중심으로 -)

  • Lee, Jong Hwa
    • Fire Science and Engineering
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    • v.33 no.1
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    • pp.188-193
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    • 2019
  • In the past, the risk of fire and the rate of fire occurrence has increased gradually as the quality of life improved due to rapid economic growth, and the government enacted Fire Prevention Act. The existing inspection method was revised considering the rapid increase in the number of fire-fighting objects(hereinafter referred to as specific fire-fighting objects) that require the installation of fire-fighting facilities, and has been applied to this day. On the other hand, unlike the rapid increase in specific fire-fighting objects and the development of fire prevention technologies, the scope of work and inspections by unsuitable inspectors caused a large fire accident, which required improvement of the related laws. This study evaluated, the Act on the relationship of firefighting facilities, which had been implemented previously to identify fire victims, save lives, secure independence of fire inspection agencies, and ensure the accuracy of fire prevention actions.

Trends of Industrial Injuries among Long-Term Health Care Workers in Korea (한국 요양보호사 산업재해의 연도별 변화추이)

  • Son, Mia;Jeon, Geo-Song;Bae, Dong-Chul;Son, Byungchang;Kim, Taeun;Yun, Jae-Won
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.2
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    • pp.156-172
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    • 2021
  • Objectives: To investigate the trends of industrial injuries among long-term health care workers in Korea Methods: T7866 injuries were selected from the total industrial injuries approved by the Industrial Accident Compensation Insurance Act(Occupational Safety and Health Act) among long-term health care workers between 2007 and 2016 in Korea. We analyzied the trends of industrial injuries according to work process, occurrence type, and causes. Results: The industrial injuries among long-term health care workers increased since 2012. The mostly occurred area for industrial injuries were low back areas, which is related that the most serious industrial injuries occurred when the one long-term healthcare worker lift manually the recipient, from bed(ondol, Korean floor heating system) to a wheelchair, bed to bath bed, and wheelchair to bath chair. In addition to this, lack of workforce, increased work intensity due to overwork contributed the increasing of occupational injury. Conclusions: This study suggests that the main causes of industrial injuries were Lack of facilities and equipment for small private long-term care institutions, The physical load that goes into lifting the recipient directly, work intensity such as excessive workload and increased work speed. We suggest that the social publicization of long-term care service for the elderly, avoiding ways to lift recipients directly, introducing lifting machines as well as improving working methods, and reducing the workload of caregivers are required.

Analysis of Construction Safety Planning Tasks for Performance Improvement Using Importance Performance Analysis (IPA) Method (안전관리자 계획단계 업무 도출을 통한 난이도 및 예방효과 분석)

  • Kang, Sang Hun;Huh, Young-Ki;Kim, Dae Young
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.6
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    • pp.545-554
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    • 2020
  • As recent safety accidents at construction sites can lead to serious accidents that threaten the lives of workers, the role of safety managers in charge of safety management has emerged. However, the current construction safety management system requires the improvement and simplification of the work contents due to the excessive workload and inefficient safety tasks of each person. In this respect, the main purpose of this study is to reduce the occurrence of construction safety accidents by deriving correlations using 2×2 Matrix analysis techniques through expert opinion, simplifying unnecessary tasks and identifying areas requiring improvement. Therefore, if this research reduces inefficient safety manager work and reduces job stress caused by excessive simple document work, thereby efficiently reorganizing safety manager's work to prevent blind spots of hazards and risks, it will ultimately have a great effect on preventing safety accidents at construction sites.

A Study on the Probabilistic Risk Analysis for Safety Management in Construction Projects

  • Lee, Dong-Yeol;Kim, Dong-Eun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.139-147
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    • 2021
  • In this study, we proposed the possibility of reliability analysis of risk index by using Monte Carlo simulation as basic data of safety accident occurrence data and expert opinion by construction industry type. Through this, it is expected that risk index for safety accidents according to detailed types of works will be presented stochastically and it will be possible to predict the risk factors and the expected range of damage based on the reliability analysis in the construction safety management plan. It will also reduce many of the planning risks that are common to decision makers in the field of construction management. In identifying risks, road bridge construction was classified into earthworks, drainage works, and bridge construction, and possible safety accidents were classified based on expert data. The risk index was calculated for each detailed construction of road and bridge construction, drainage construction, and bridge construction.

Analysis of the Necessity of Introducing the Obligation to Take Safety and Health Measures for Construction Orderers using Multivariate Analysis (다변량 분석을 이용한 건설업 발주자의 안전보건조치 의무 도입 필요성 분석)

  • Lim, Se Jong;Seo, Jae Min;Won, Jeong-Hun;Kim, Chang-Won
    • Journal of the Korean Society of Safety
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    • v.37 no.1
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    • pp.20-29
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    • 2022
  • To stem the ever-prevalent occurrence of industrial accidents in the construction industry, which is emerging as a social problem, efforts must be invested by various stakeholders. Specifically, among stakeholders, the orderer is at the top of a project's decision-making structure. Therefore, the orderer's awareness of safety and health directly affects the process of securing the safety of the overall construction site. In this light, the present study aims to identify differences in the perceptions of each stakeholder regarding the obligatory safety and health measures for clients that have recently been introduced. In addition, it suggests specific implementation plans in the Korean context. The data used for analysis were collected through a survey targeting stakeholders such as orderers, safety managers, and site managers, and the collected data were quantitatively reviewed by using multivariate analysis methods such as analysis of variance. As a result of the analysis, the introduction of safety and health obligations for the owner was found to be necessary, and the designation and operation of safety and health experts as an action plan was deemed reasonable. The authors expect that the results of this study can be used as basic data for revising the related regulations in Korea. Moreover, as a further study, a review of the effectiveness after improving regulations would contribute strongly to the domain.

A Study on the Applicability of Safety Performance Indicators using the Density-Based Ship Domain (밀도기반 선박 도메인을 이용한 안전 성능 지표 활용성 연구)

  • Yeong-Jae Han;Sunghyun Sim;Hyerim Bae
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.89-97
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    • 2022
  • Various efforts are needed to prevent accidents because ship collisions can cause various negative situations such as economic losses and casualties. Therefore, research to prevent accidents is being actively conducted, and in this study, new leading indicators for preventing ship collision accidents is proposed. In previous studies, the risk of collision was expressed in consideration of the distance between ships in a specific sea area, but there is a disadvantage that a new model needs to be developed to apply this to other sea areas. In this study, the density-based ship domain DESD (Density-based Empirical Ship Domain) including the environment and operating characteristics of the sea area was defined using AIS (Automatic Identification System) data, which is ship operation information. Deep clustering is applied to two-dimensional DESDs created for each sea area to cluster the seas with similar operating environments. Through the analysis of the relationship between clustered sea areas and ship collision accidents, it was statistically tested that the occurrence of accidents varies by characteristic of each sea area, and it was proved that DESD can be used as a leading indicator of accidents.

Quantitative risk analysis of industial incidents occurring in trap boats (통발어선에서 발생하는 산업재해에 대한 정량적 위험성 분석)

  • Seung-Hyun LEE;Su-Hyung KIM;Kyung-Jin RYU;Yoo-Won LEE
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.60 no.2
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    • pp.161-169
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    • 2024
  • This study employs Bayesian network analysis to quantitatively evaluate the risk of incidents in trap boats, utilizing accident compensation approval data spanning from 2018 to 2022. With a dataset comprising 1,635 incidents, the analysis reveals a mortality risk of approximately 0.011 across the entire trap boat. The study significantly identifies variations in incident risks contingent upon fishing area and fishing processes. Specifically, incidents are approximately 1.22 times more likely to occur in coastal compared to offshore, and the risk during fishing processes outweighs that during maintenance operations by a factor of approximately 23.20. Furthermore, a detailed examination of incident types reveals varying incidence rates. Trip/slip incidents, for instance, are approximately 1.36 times more prevalent than bump/hit incidents, 1.58 times more than stuck incidents, and a substantial 5.17 times more than fall incidents. The study concludes by providing inferred mortality risks for 16 distinct scenarios, incorporating fishing areas, processes, and incident types. This foundational data offers a tailored approach to risk mitigation, enabling proactive measures suited to specific circumstances and occurrence types in the trap boat industry.