中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (6): 7-12.doi: 10.16265/j.cnki.issn1003-3033.2018.06.002

• 安全社会科学 • 上一篇    下一篇

大数据视域下循证安全管理模式研究

闪顺章1,2, 吴超1,2 教授, 王从陆1,2, 王秉1,2   

  1. 1 中南大学 资源与安全工程学院,湖南 长沙 410083      
    2 中南大学 安全理论创新与促进研究中心,湖南 长沙 410083
  • 收稿日期:2018-03-20 修回日期:2018-05-23 出版日期:2018-06-28 发布日期:2020-11-25
  • 作者简介:闪顺章(1995—),男,安徽凤台人,硕士研究生,研究方向为微米级尘雾耦合机理和安全科学基础理论。E-mail:shunzhang_shan@163.com。
  • 基金资助:
    国家自然科学基金资助(51534008)。

Research on evidence-based safety management modefrom perspective of big data

SHAN Shunzhang1,2, WU Chao1,2, WANG Conglu1,2, WANG Bing1,2   

  1. 1 School of Resources and Safety Engineering,Central South University,Changsha Hunan 410083,China;
    2 Safety Theory Innovation and Promotion CenterSTIPC,Central South University,Changsha Hunan 410083,China
  • Received:2018-03-20 Revised:2018-05-23 Online:2018-06-28 Published:2020-11-25

摘要: 为提高循证安全(EBS)决策的可靠性,寻找安全决策的最佳证据支撑,首先,基于大数据和EBS相关理论,提出安全证据的概念;其次,分析大数据视域下安全证据的特点,总结大数据视域下的5级安全证据体系;在此基础上,提出大数据视域下的EBS管理模式,并分析其具体内涵和其中的安全信息流向;最后,探讨大数据在EBS中的应用前景及优势,并给出3点促进意见。结果表明:大数据的应用是EBS发展的新方向,提出的EBS管理模式和5级安全证据体系有助于为EBS发展提供理论指导。

关键词: 安全管理, 大数据, 循证安全(EBS), 安全决策, 安全证据

Abstract: In order to improve the reliability of EBS decision-making and find the best evidence support for safety decisions,firstly,on the basis of fully researching the related theories of big data and EBS,a concept of safety evidence was put forward.Then the characteristics of safety evidence from the perspective of big data were analyzed.The five-level safety evidence system was summarized.On this basis,an EBS management mode was proposed from the perspective of big data,and specific connotations of the mode and the flow of safety information in the mode were analyzed.Finally,the prospect and advantages of big data applied in EBS were discussed,and 3 suggestions for promotion were given.The results show that the application of big data is the new direction of EBS management development,and that the EBS management mode and five-level safety evidence system proposed are helpful in providing theoretical guidance for its development.

Key words: safety management, big data, evidence-based safety (EBS), safety decision, safety evidence

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