信用评分在安全管理中的应用——大数据化的安全积分评分  

The Application of Credit Scoring in Safety Management——Safety Integral Scoring under Big Data

作　　者：李德有[1] 赖才书[1] 王剑光 吴新龙 温雄明 Deyou Li;Caishu Lai;Jianguang Wang;Xinlong Wu;Xiongming Wen(Zijin Mining Group Co.,Ltd.,ShangHang 364200,Fujian;Hunan Zhongyuan Environmental Protection Engineering Co.,Ltd.,Changsha 410000,Hunan)

机构地区：[1]紫金矿业集团股份有限公司,福建上杭364200 [2]湖南中源环保工程有限公司,湖南长沙410000

出　　处：《福建冶金》2020年第1期41-45,共5页Fujian Metallurgy

摘　　要：本文介绍了信用评分与安全积分评分的相似之处,指出在安全管理方面大数据应用的前提是如何做好数据特征的提取。本文借鉴信用评分的哲学基础——“实用主义”“经验主义”,提出“大数据化的安全积分评分”可从“身份特质”“安全教育培训”“安全行为考核”“工作环境及活动”“人脉关系”“安全行为偏好”等6个维度对个人的安全状态进行定量描述。This paper introduces the similarity between credit scoring and safety integral scoring.It also points out that the premise of applying Big Data theory into safety management is how the data features can be extracted effectively.This paper uses the philosophical foundation of credit scoring as reference:"Pragmatism"and"Empirical"."Big Digital Safety Integral Score",which represents someone's degree of safety,can be quantitatively described from six dimensions,including"identities and traits""safety education and training""safety behavior assessment""work environment and activities""interpersonal relationship"and"safety behavior preference".

关 键 词：信用评分 安全管理 大数据应用 安全积分 量化 

分 类 号：X922[环境科学与工程—安全科学]