数据挖掘在石化企业安全管理中的应用研究  

Application research of data mining in safety management of petrochemical enterprise

作　　者：李千登[1,2] 张国之 Li QiANDeng1,2,Zhang Guozhi1(1.SINOPEC Research Institute of Safety Engineering, Qingdao 266104,China; 2.National Registration Center for Chemicals of the State Administration of Work Safety, Qingdao 266104, China)

机构地区：[1]中国石化青岛安全工程研究院,山东青岛266104 [2]国家安全生产监督管理总局化学品登记中心,山东青岛266104

出　　处：《炼油与化工》2018年第5期12-15,共4页Refining And Chemical Industry

基　　金：国家863计划课题:面向石油化工的节能环保与安全管控MES开发及应用;编号2013AA040701

摘　　要：石化企业积累了大量的安全管理业务数据,针对这些数据尚未发挥其应有价值的现状,文中提出了1种基于数据挖掘的石化企业安全管理数据分析方法,建立了安全管理薄弱环节风险预警业务模型及算法。结果表明,该数据挖掘方法可以有效发现装置运行过程中集中存在的问题,自动给出对应的处置措施及建议,从而提高石化企业的安全管理水平。The petrochemical industry has accumulated a large volume of safety management data, but the massive data were not utilized efficiently. A safety management data analysis method based on data mining is proposed in this paper, which established the complete algorithm for risk warning of the weak points in safety management. Taking the device inspection data in safety management system of petroleum refinery as an example, the application results showed that the data mining method proposed in this paper can discover the weak points in unit operation process and give suggestions automatically, and improve the level of the safety management in petrochemical industry.

关 键 词：石化企业 安全管理 数据挖掘 应用 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]