In this paper, 56 cases of ship fire accidents are taken as the research object, and the distribution characteristics of ship fire accident factors are analyzed in five aspects, including accident consequence, ship type, fire occurring location, burning object causing fire and accident cause. Then, the Apriori algorithm is used to carry out association analysis on ship fire accident factors, and the strong association rules among different factors of ship fire accidents are obtained. The results show that oil is the main burning object causing dry cargo ship and liquid cargo ship fire accidents. The damage and defect of ship equipment and facilities is the main cause of oil burning. By analyzing the distribution characteristics of ship fire accident factors and mining the strong association rules among factors, the key points of ship fire risk prevention and control are specified to avoid or reduce the occurrence of ship fire accidents.


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    Titel :

    Ship Fire Accident Analysis Based on Association Rules


    Beteiligte:
    Qi, Kaixuan (Autor:in) / Chai, Hua (Autor:in) / Lv, Guangyu (Autor:in) / Zhao, Jingyi (Autor:in) / Sun, Weiwei (Autor:in) / Liu, Haoyuan (Autor:in) / Wang, Shuangfei (Autor:in)


    Erscheinungsdatum :

    23.06.2023


    Format / Umfang :

    901337 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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