• Title/Summary/Keyword: industrial accident analysis

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Analysis of Accident Characteristics by Age of Injured Person (재해자의 연령별 재해 특성에 관한 분석)

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    • Journal of the Korea Safety Management & Science
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    • v.2 no.4
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    • pp.9-17
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    • 2000
  • For the accident prevention, it is necessary to identify common factors and characteristics contributing to the industrial accidents. This study concerned with the accident characteristics by age of injured person in the manufacturing industries. To make the statistical comparisons for the accident characteristics by age group, we derived the distributions of occupational injuries in terms of accident time, accident type, activity at time of accident, injury type, injured part of body, agency of accident, and workday losses. The results show that the characteristics of the occupational injuries by age group are not significantly different in a31 characteristics investigated in this study.

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Problems and Countermeasures in the Construction Industry Application of the Serious Accident Punishment Act (중대재해처벌법의 건설업 적용 문제점 및 대응방안)

  • Jung, Joong-Sup;Seo, Jun-Hyeok;Lee, Dong-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.2
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    • pp.37-47
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    • 2022
  • The Act on the Punishment of Serious Accidents to Prevent Large-scale Disasters, including Ferry Sewol and Taean Thermal Power Plant, passed the National Assembly on January 8, 2021, and has been in effect since January 27, 2022. However, the law, in which the representative of the headquarters is unlimitedly responsible for each worker's accident, is somewhat unreasonable at a time when a company owns dozens to hundreds of construction sites due to the nature of the construction industry. I agree with the purpose of enacting the law to reduce chronic serious accidents at construction sites, but it is necessary to carefully reconsider the implementation of the law in that punishment alone cannot achieve industrial safety. Previous studies focused on revising the Occupational Safety and Health Act, but there are few studies on the impact on the construction industry after the implementation of the Serious Accident Act. Therefore, this study attempts to derive problems related to the application of the Serious Accident Act and present improvement measures. To this end, after analyzing previous studies, SWOT analysis was performed by applying the Delphi method to derive strengths, weaknesses, opportunities, and threats. In addition, the results of two surveys of safety experts such as public institutions, academia, and companies were reflected, and its countermeasures were presented as follows. S/O strategy: establishing on-site execution capabilities of health and safety management system; W/O strategy: expanding legal and system execution checks; S/T strategy: establishing a risk response system; W/T strategy: expanding consulting by external specialized institutions

An analysis of the accident rate to develop factors for improving industrial accident prevention methods for the projects with sub-contract (도급에 따른 산업재해 예방조치 개선요소 도출을 위한 재해율 분석)

  • Kim, Sung-eun;Lim, Hyoung-chul
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.216-217
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    • 2022
  • After the financial crisis, the spread of indirect employment, which is an outsourcing method, is gradually becoming common in our society, and the risk of harm is relatively high or the proportion of simple jobs is high. Simple workers have a higher proportion of non-manufacturing industries such as the service industry, and production workers are intensively used in the manufacturing industry. In Article 63 of the Occupational Safety and Health Act, contractors must take necessary safety and health measures. In addition, due to the expansion of the scope of contracts under the Occupational Safety and Health Act, it is necessary to review the appropriateness of industrial accident prevention measures and implementation standards.

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A Study on Accident Prevention through Analysis of Industrial Drone Accidents and Their Causes (산업용드론 재해발생 특성과 원인분석을 통한 재해예방에 관한 연구)

  • Byun, Hyung Shik;Rhim, Jong Kuk
    • Journal of the Korean Society of Safety
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    • v.34 no.6
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    • pp.88-95
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    • 2019
  • It has been only a few years since drones have been introduced to Korea, and as the use of drones has increased in industrial sites as well as in hobby activities, accidents such as workers' body parts coming into contact with rotating propellers have been occurring since 2016. Industrial accident cases are being filed. In the case of a remote control vehicle, if you release the remote controller in the event of an abnormal situation, it stops in place and no further danger occurs but in case of drones flying over the sky is different. Sudden motor stops during flight, uncontrolled changes in flight posture, loss of radio waves, loose propeller, etc, numerous factors can lead to accidents due to unintentional movements. Therefore, drone operators need safety knowledge as well as high knowledge about drones. However, drones with a weight of less than 12 kg can fly without a pilot's certification, and therefore, a minimum accident prevention measure is required. 10 accidents approved as industrial accidents since 2016, 23 accidents surveyed by general drone operator, 40 accidents surveyed by the Korean Consumer Resources Unfortunately for the purpose of writing this paper, drones are a new species and do not have many parameters for analysis but my experience has shown that the type of disaster does not deviate significantly. In addition, there is no paper that analyzes drone related industrial accidents not only in Korea but also in other countries. However, even if you watch an overseas drone accident video through YouTube, it is not much different from the case that occurs in Korea. I hope that this study will be of little help to all the drone pilots as well as the work safety of industrial drones used in industrial sites.

Index Analysis Approach to Identifying Accident Concentration Level of Korean Industries (국내 산업재해집중수준 확인을 위한 지표분석)

  • Lee, Bong Keun;Suh, Yongyoon;Chang, Seong Rok
    • Journal of the Korean Society of Safety
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    • v.35 no.5
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    • pp.59-65
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    • 2020
  • For monitoring the status of industrial accidents, many statistical indexes have been developed and applied such as fatal rate, frequency rate, and severity rate. These accident indexes are measured by frequency and loss time according to the accidents in the individual industry level. However, it is less considered to use the index of identifying the industrial concentration of accidents in the holistic view. Thus, this study aims to suggest the accident concentration level among domestic industries through index analysis. The concentration level of industrial accidents is calculated by the accident composition of sub-industries. This concentration level shows whether an industry is comprised of a few sub-industries generating more accidents or an industry consists of sub-industries having the similar number of accidents. To this end, the concentration rate (CR) and concentration index (CI) are proposed to take a look at the industry composition of accidents by embracing the concept of market concentration indexes such as Hirschman-Herfindahl Index. As for the case study, four industries of mining, manufacturing, transportation, and other business (usually service) are analyzed in terms of indexes of accident rate, death(fatality) rate, and CR and CI of accident and death. Finally, we illustrate the positioning map that the accident concentration level is compared with the traditional accident frequency level among industries.

Accident detection algorithm using features associated with risk factors and acceleration data from stunt performers

  • Jeong, Mingi;Lee, Sangyeoun;Lee, Kang Bok
    • ETRI Journal
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    • v.44 no.4
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    • pp.654-671
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    • 2022
  • Accidental falls frequently occur during activities of daily living. Although many studies have proposed various accident detection methods, no high-performance accident detection system is available. In this study, we propose a method for integrating data and accident detection algorithms presented in existing studies, collect new data (from two stunt performers and 15 people over age 60) using a developed wearable device, demonstrate new features and related accident detection algorithms, and analyze the performance of the proposed method against existing methods. Comparative analysis results show that the newly defined features extracted reflect more important risk factors than those used in existing studies. Further, although the traditional algorithms applied to integrated data achieved an accuracy (AC) of 79.5% and a false positive rate (FPR) of 19.4%, the proposed accident detection algorithms achieved 97.8% AC and 2.9% FPR. The high AC and low FPR for accidental falls indicate that the proposed method exhibits a considerable advancement toward developing a commercial accident detection system.

Association Rules for Road Traffic Ayccident in Korea with Multiple Outcomes (다수의 결과를 고려한 한국의 도로교통사고 연관규칙분석)

  • Sohn, So-Young;Oh, Ki-Yeol;Shin, Hyoung-Won
    • IE interfaces
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    • v.15 no.4
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    • pp.426-431
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    • 2002
  • In many cases, the result of a road traffic accident can be described with more than one response variables. Nonetheless, most of the existing road accident data analysis deal with only one response variable and try to explain why it occurs. In this paper, we train association rules for a set of more than two response variables conditional on personal, environmental and vehicular/behavioral aspects of accident. Association rules are derived at 8% support and 70% confidence from the 1996 data of three police stations in Korea. We expect that these rules can contribute to effective safety practice in Korea.

Data Fusion, Ensemble and Clustering for the Severity Classification of Road Traffic Accident in Korea (데이터융합, 앙상블과 클러스터링을 이용한 교통사고 심각도 분류분석)

  • Sohn, So-Young;Lee, Sung-Ho
    • Journal of Korean Institute of Industrial Engineers
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    • v.26 no.4
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    • pp.354-362
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    • 2000
  • Increasing amount of road tragic in 90's has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving conditions based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for road accident prevention policy. In this paper, we apply several data fusion, ensemble and clustering algorithms in an effort to increase the accuracy of individual classifiers for the accident severity. An empirical study results indicated that clustering works best for road traffic accident classification in Korea.

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Cost-Benefit Analysis for Safety Management Cost using Quantitative Risk Analysis (정량적 위험성 평가에 의한 안전관리 투자의 비용-편익분석)

  • 장서일;조지훈;김태옥
    • Journal of the Korea Safety Management & Science
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    • v.4 no.4
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    • pp.15-26
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    • 2002
  • The quantitative evaluation method of the safety management cost was suggested to prevent a gas accident as a major industrial accident. In a gas governor station, process risk assessments such as the fault tree analysis(FTA) and the consequence analysis were performed. Based on process risk assessments, potential accident costs were estimated and the cost-benefit analysis(CBA) was performed. From the cost-benefit analysis for five classification items of safety management cost, the order of the cost/benefit ratio was estimated.

A Study on Calculation of Leakage for LPG Explosion Accident using 3D Scan and CFD (3D 스캔과 CFD를 활용한 LPG 폭발사고의 누출량 산정에 관한 연구)

  • Cho, Wan Su;Kim, Eui Soo
    • Journal of the Korean Society of Safety
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    • v.33 no.3
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    • pp.1-7
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    • 2018
  • Recently, various engineering approaches have been widely used in the accident investigation field to identify the cause of the accident and to predict damage by accident. Computational analysis is the most commonly used method of accident investigation technique. This technique is mainly used to identify the mechanism of the accident generation and to determine the cause when it is difficult to reproduce the situation at the time of the accident or when it is impossible to perform a reproduction experiment. In this study, The gas explosion analysis for LPG explosion accident generated by defect of the blocking action was performed to determine the accident object, gas leakage amount and predicted the damage caused by the accident using 3D laser scanner and FLACS program. We can quantify the explosive power by LPG gas accident and predict the gas leakage amount, damage by accident and evaluate the stability of the structure through this study. In the future, This method can be widely used in the field of gas safety by improving the reliability and validity of the analysis.