主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2021, Vol. 40 ›› Issue (12): 1770-1774.

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Safety risk assessment of dangerous goods storage system based on ISM and Bayesian network

LU Jian-feng1, WANG Biao2   

  1. (1.College of Business Administration, Nanchang Institute of Technology, Jiangxi Nanchang 310029, China; 2.Jiangxi Vocational and Technical College of Communications, Jiangxi Nanchang 330000, China)
  • Online:2021-12-15 Published:2021-12-15

Abstract: In order to prevent dangerous goods storage accidents, it is necessary to evaluate the safety risk of dangerous goods storage system. In order to reduce the randomness and uncertainty of safety risk assessment of dangerous goods storage system, ISM model and Bayesian network (BN) method were used for quantitative safety risk assessment.Based on grounded theory, the safety risk factors of dangerous goods storage system are identified, and the safety risk factors system of dangerous goods storage system is obtained.Based on ISM model, the Bayesian network model of dangerous goods storage system security risk was established. Using fuzzy set theory, the safety risk assessment model of dangerous goods storage system was constructed. The case application of the safety risk assessment model of dangerous goods storage system proves that the model was reasonable and effective.

Key words: dangerous goods storage, safety risk, quantitative risk assessment, grounded theory, ISM, Bayesian network