• Journal of the Korean Institute of Gas
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• v.24 no.1
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• pp.56-65
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• 2020

Forecasting of coming fire accidents is quite a challenging problem cause normally fire accidents occur for a variety of reasons and seem randomness. However, if fire accidents that cause critical losses can be forecasted, it can expect to minimize losses through preemptive action. Classifications using machine learning were determined as appropriate classification criteria for the forecasting cause it classified as a constant damage scale and proportion. In addition, the analysis of the periodicity of a critical fire accident showed a certain pattern, but showed a high deviation. So it seems possible to forecast critical fire accidents using advanced prediction techniques rather than simple prediction techniques.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.21-27
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• 2017

Even if several chemical accident prevention systems such as PSM(Process Safety Management), RMP(Risk Management Plan), etc. have been carried out, many chemical accidents have still occurred at industrial plants in Korea. We describe the status of chemical industry and the trend of occurrence of chemical accidents in Korea. And this paper analyzes the recent chemical accidents in eight ways. These ways include chemical accident forms, ignition sources, sources of chemical equipment, human vs equipment/material causes, worker's working situation, employee scale, hazardous substances, week & time, fatalities of manufacture & contractor's workers. Finally we proposes the four representative prevention measures brought to result of cause analysis by accident statistics.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.101-108
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• 2013

Industrial disaster caused the deaths of 2,114, construction workers among them was the highest of 621 deaths. In the construction industry, has established a number of safety alternatives to prevent accidents. But until now, the cause of the accident has stopped being superficial analysis, awareness on the root cause of the acciden did not reflect. In this study, we analyze the characteristics and causes in G contractors' safety accidents. And innovation strategy, organization-wide safety management system and detailed tasks to derive essentially was to prevent the occurrence of large construction companies. A lot of business for accident prevention effect was transient and formal, to reflect a management style and organizational culture, and try to prevent construction accidents. we will strive to prevent the disaster from the construction site through the improvement of these.

• Journal of the Korean Society of Safety
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• v.34 no.3
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• pp.42-49
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• 2019

This study statistically analyzed the laboratory accidents by investigating 806 laboratory accident survey reports which were officially submitted to government from 2013 to June 2017. After comparing domestic and foreign accident classification criteria, the laboratory accidents were classified using KCD7(Korean Standard Classification of Diseases) and OIICS(Occupational Injury and Illness Classification System) criteria. For the type and part of injury, KCD7 classification criteria was adopted. And, for the cause and occurrence type of accidents, OIICS was adopted to analyze the laboratory accidents. Most of injuries happened to the wrist and hand caused by sharp materials or chemical materials. The analysis of accident cause showed that accidents resulted in medical practice and accidents from handtools and chemical materials such as acid and alkali frequently occurred. The major occurrence types of laboratory accidents was body exposure to the chemical materials such as hydrochloric acid and sulfuric acid. In addition, the accidents resulted in destroy of grasped object or falling object were frequently reported.

• Korean System Dynamics Review
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• v.15 no.2
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• pp.5-25
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• 2014

The purpose of this study is to analyze the effects of nuclear power plant workers and organizational characteristics on accidents, and seek the combination of policies for reducing accidents. For this purpose, it grasped, by using System Dynamics and Causal Loop Diagram, how various factors that cause accidents in nuclear plants are interrelated, and performed simulations after building simulation models. As a result of the analysis, first, the fundamental cause of safety accidents in nuclear power plants turned out to be the time constraint on the workload. Second, it turned out that as the workload of workers increases, physical and mental stresses increase, thereby increasing accidents due to errors and violations. Third, it turned out that as the levels of educational training and compliance with regulations and procedures are enhanced, accidents are reduced. Lastly, it turned out that as the combination of policies (reliance level + working environment + educational training + compliance with regulations and procedures) is increased, accidents are reduced. Especially, it turned out that if the combination of policies is increased by 30%, more than 10 cases of accidents are reduced.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.195-196
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• 2017

The number of human accidents in the construction industry is increasing every year, and it constitute the highest percentage among industry. This means that activities performed to prevent safety accidents in the country are not efficient to reduce the rate of accidents in the construction industry. In order to solve this issue, research has been conducted from various perspectives. But, research regarding to quantification model of human accidents is insufficient. the objective of this study is to conduct a basic study on quantification model development of human accidents. To achieve the objective, first, Cause of accident is defined the through literature review. Second, a basic statistic analysis is conducted to determine the characteristics of the accident causes. Third, the analysis is conducted after dividing into four categories : accumulate rate, season, total construction cost, and location. In the future, this study can be used as a reference for developing the safety management checklist for safety management in construction site and development of prediction models of human accident.

• Journal of the Korean Society for Railway
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• v.13 no.4
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• pp.455-461
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• 2010

We have identified which causes have influenced to accidents, case by case through a relational analysis on data of accidental case, root case, accident cause and hazard. The data on the accident of railway operation and system have been analyzed and the root cause, accident cause and hazard have been classified. This research has developed accident cause analysis system to build efficient railway safety policy which will be used to prevent railway accidents by government and railway operator.

• Journal of the Korean Society for Railway
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• v.14 no.1
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• pp.73-79
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• 2011

This paper aims to find out the statistical characteristics of railroad weather-related accidents and incidents of each railroad line and then reduce the railroad accidents and prepare for the climate change. For this, we used data of KROIS and Korea railroad accidents report during 1996-2008. The results are as follows; Gyeongbu line is the most vulnerable line to railroad weather-related accidents, Yeongdong and Taebaek line are also the vulnerable line. The main railroad weather-related accidents and incidents is a railway obstruction and the next is a signal failure, a power supply failure. The second cause of a railway obstruction was some different for each line, but the main cause was a collapsed roadbed. We knew that the cold front accompanied with a heavy rainfall for a short time is the main weather pattern which cause the railroad accidents.

• Fire Science and Engineering
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• v.30 no.6
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• pp.23-30
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• 2016

This study analyzed the characteristics of chemical accidents, including the accidents occurring each year according to status, type of accident, accident cause for chemical substance transporting accidents. The major aim of this study was to provide information on the chemical accidents that occurred involving chemical substance transporting accidents from 2013 to July - 2016. The total incidence of chemical transporting accidents was 77 cases; 74 cases occurred by the spill & leakage type. The main cause of the accidents analyzed was traffic accidents (41 cases). Forty-six accidents were related to hazardous chemical substances. Among the 46 hazardous chemical substances involved in transporting chemical accidents, 46% of the accident substances were hydrogen chloride. For the prevention and response to accidents occurring during the transportation of chemicals, it is necessary to complement the precautions for chemical accidents caused by transportation accidents and chemical spills and leaks of chemicals. In addition, when the chemical transport of an accident occurs, it is necessary to apply a chemical transport safety system for chemical transfer.

• Journal of the Korean Institute of Gas
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• v.18 no.4
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• pp.86-94
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• 2014

To develop a Root Cause Analysis Map which determines the cause of the accident in chemical laboratory, The Root Cause Analysis(RCA) Map for the laboratory areas was sketched from Phase 1 of the accident element to Phase 3 of the accident element, based on the RCA Map which is applied in the petrochemical industry. On the basis of laboratory RCA Map which was classified by using such method. The root causes of the 211 accident cases in laboratories were classified from Phase 4 to Phase 5 by the Cause Factor Charting technique and The cause of the accident data were inputted to EXCEL program. After that, The causes of the accident data were sorted and classified by type and each step. So 'Approximate Primary RCA Map Draft' was written. In addition, it was reaffirmed whether the root causes of 211 accidents of laboratory were appropriate to 'Primary RCA Map Draft'. By complementing the cause which was expected to cause future accidents, the RCA Map for chemical laboratories was developed. Based on 'RCA Map' proposed in this study, the causes of accidents were analysed management systems 35%, monitoring 12.2%, Human Factor Eng. 15.1% and education training 12.1% by the size of the frequency from Phase 1 to Phase 5.