Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
권호 표지
DOI QR코드

DOI QR Code

Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics

국내 제조업 화재사고 데이터 분석을 통한 복합 유해·위험요인 확인

  • Kyung Min Kim (Department of Safety Engineering, Pukyong National University) ;
  • Yongyoon Suh (Department of Industrial & System Engineering, Dongguk University) ;
  • Jong Bin Lee (Department of Safety Engineering, Pukyong National University) ;
  • Seong Rok Chang (Department of Safety Engineering, Pukyong National University)
  • 김경민 (부경대학교 안전공학과) ;
  • 서용윤 (동국대학교 산업시스템공학과) ;
  • 이종빈 (부경대학교 안전공학과) ;
  • 장성록 (부경대학교 안전공학과)
  • Received : 2023.04.14
  • Accepted : 2023.07.24
  • Published : 2023.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. S. Y. Hong, "A Study on the Current State of the Root Industry and Root Industry Promotion Policy", Inha University Graduate School of Engineering, pp. 1-3, 2014.
  2. J. Y. Han, C. H. Kim, J. K. Kim, N. H. Kang and J. H. Kim, "Analysis of the Current Status of the Domestic Welding Industry using Statistics", Journal of the Korean Society of Welding and Joining, Vol. 23, No. 3, pp. 1-15, 2005.
  3. M. S. Kang and B. Y. Lee, "Case Analysis of Domestic Welding Accident Using Database", The Korean Welding and Joining Society(Summary of Special Lectures and Conferences), Vol. 1, pp. 116-118, 1997.
  4. S. U. Jeong, "A Study on Analysis of Statistics on the Causes of the Fire by Welding and Cutting", Kyungpook National University Graduate School of Industry, pp. 1-2, 2015.
  5. Ministry of Employment and Labor(MOEL), Employment and Labor Statistics, Status of Total Industrial Accidents, 2009-2018.
  6. Ministry of Employment and Labor(MOEL), Employment and Labor Statistics, Status of Total Industrial Accidents (Fire, Explosion, Rupture), 2009-2018.
  7. C. H. Lee, "Recent Chemical Accidents and Preventive Measures", Korea Labor Institute Labor Review, No. 100, pp. 18-25, 2013.
  8. National Fire Agency(NFA), Fire Statistics, "Ignition Factors", 2009-2018.
  9. H. Lee, "A Study on Prevention of Fire at Welding Work Sites", Graduate School of Construction and Industry, Kyonggi University, pp. 3-4, 2012.
  10. T. H. Lee, "A Study on Fire Prevention in the cases of fire Investigation", Graduate School of Construction and Industry, Kyonggi University, pp. 1-2, 2011.
  11. R. Feldman and I. Dagan, "Knowledge Discovery in Textual Databases (KDT)", Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD), pp. 112-117, 1995.
  12. E. Turban, "Decision Support and Business Intelligence Systems", Pearson Education Limited, Harlow, UK, 2010.
  13. Y. Suh, "Data Analytics for Social Risk Forecasting and Assessment of New Technology", J. Korean Soc. Saf., Vol. 32, No. 3, pp. 83-89, 2017.
  14. S. S. Kang and Y. Y. Suh, "On the Development of Risk Factor Map for Accident Analysis using Textmining and Self-Organizing Map(SOM) Algorithms", J. Korean Soc. Saf., Vol. 33, No. 6, pp. 77-84, 2018.
  15. J. Jeon and Y. Suh, "Multiple Patent Network Analysis for Identifying Safety Technology Convergence", Data Technologies and Applications, Vol. 53, No. 3, pp. 269-285, 2019. https://doi.org/10.1108/DTA-09-2018-0077
  16. 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.
  17. 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?no=2023032909230739016