[논문]국내 제조업 화재사고 데이터 분석을 통한 복합 유해·위험요인 확인

김경민; 서용윤; 이종빈; 장성록

doi:10.14346/jkosos.2023.38.4.23

국내 제조업 화재사고 데이터 분석을 통한 복합 유해·위험요인 확인
Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics 원문보기

한국안전학회지 = Journal of the Korean Society of Safety, v.38 no.4, 2023년, pp.23 - 31

김경민 (부경대학교 안전공학과) , 서용윤 (동국대학교 산업시스템공학과) , 이종빈 (부경대학교 안전공학과) , 장성록 (부경대학교 안전공학과)

Abstract ▼ AI-Helper

Revising the Occupational Safety and Health Act led to enacting and revising related laws and systems, such as placing fire observers in hot workplaces. However, the operating standards in such cases are still ambiguous. Although fire accidents occur through multiple and multi-step factors, the hazards of fire accidents have been identified in this study as individual rather than interrelated factors. The aim has been to identify multiple factors of accidents, outlining fire and explosion accidents that recently occurred in the domestic manufacturing industry. First, major keywords were extracted through text mining. Then representative accident types were derived by combining the main keywords through the co-word network analysis to identify the hazards and their relationships. The representative fire accidents were identified as six types, and their major hazards were then addressed for improving safety measures using the identification of hazards in the "Risk Assessment" tool. It is found that various safety measures, such as professional fire observers' training and clear placement standards, are needed. This study will provide useful basic data for revising practical laws and guidelines for fire accident prevention, system supplementation, safety policy establishment, and future related research.

주제어

표/그림 (12)

표 Table 1. Ministry of Employment and Labor Employment and Labor Statistics, "Status of total industrial accidents-by type of incidence (Total)" (2009~2018)
표 Table 2. Ministry of Employment and Labor Employment and Labor Statistics, "Status of total industrial accidents-by occurrence type (Fire)" (2009~2018)
표 Table 3. Ministry of Employment and Labor Employment and Labor Statistics, "Status of total industrial accidents-by occurrence type (Explosion, Rupture)" (2009~2018)
표 Table 4. National fire agency fire statistical yearbook, "ignition factors (Total)", (2009~2018)
표 Table 5. Classification of ignition factors by the National Fire Agency
그림 Fig. 1. Research procedure.
그림 Fig. 2. Basic input from of co-word matrix for network analysis¹⁵⁾.
그림 Fig. 3. Research design.
표 Table 6. Risk assessment evaluation(Degree of risk)
표 Table 7. Risk assessment evaluation(Frequency, Intensity)
그림 Fig. 4. Co-word network cluster selection and analysis.
표 Table 8. Risk assessment result

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상세보기
B. S. Kang, "Accuracy Improvement of Movie Recommender System Using Word2Vec and Two-Channel Convolutional Neural Networks", Journal of Knowledge Information Technology and Systems(JKITS), Vol. 16, No. 2, pp. 255-263, 2021.
Y. Y. Suh, "[Column]Establishment of Risk Assessment System and Expectations for Follow-up", Dongguk University Industrial System Engineering, 2023. [Internet] MT(Money Today), Available from : https://news.mt.co.kr/ mtview.php?no2023032909230739016

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