• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Fire Science and Fire Protection Engineering >Association Rule Analysis of Petrochemical Fire Accidents Based on the Apriori Algorithm
【24h】

Association Rule Analysis of Petrochemical Fire Accidents Based on the Apriori Algorithm

机译：基于APRiori算法的石化火灾事故关联规律分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To analyze the characteristics of petrochemical fire accidents and emergency disposal rules, firstly we did a survey of 947 petrochemical accidents which happened in China from 2013 to 2018. Then, for analyzing the association rules systematically and comprehensively between fire accidents and the causes, a data mining method, Apriori algorithm, was applied to mine the potentially rules. The results indicated that: (1) There were 22 causes summarized from all investigation reports, but by quantitatively calculation, only 7 of them were key disaster-causing factors. (2) Five disaster-causing factors can be classified as corporate governance problems, so “Business management has loopholes” was one main risk factors of fire accidents. (3) Some key disaster-causing factors were related with each other. “Failure to implement the main responsibility of production safety”, “Security management has bugs” and “Inadequacy of safe education and training” were related to “Inadequacy of government supervision”.
机译：分析石化火灾事故及紧急处置规则的特点，首先，我们对2013年至2018年的947名石化事故进行了调查。然后，在消防事故和原因之间系统地和全面分析了协会规则，以及数据采矿方法，APRiori算法应用于挖掘可能的规则。结果表明：（1）所有调查报告总结了22个原因，但通过量化计算，其中只有7个是关键灾害因素。 （2）五个灾害因素可以被归类为公司治理问题，因此“业务管理有漏洞”是火灾事故的主要风险因素。 （3）一些关键灾害因素彼此相关。 “未能实施生产安全的主要责任”，“安全管理有错误”和“安全教育和培训不足”与“政府监督不足”有关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号