生产过程和设备状态大数据分析在石化企业管理中的应用  

Application of Big Data Analysis of Production Process and Equipment Status in Petrochemical Enterprise Management

作　　者：陈鑫[1] Chen Xin(Sinopec Qingdao Refining&Chemical Co.Ltd.,Qingdao,266500,China)

机构地区：[1]中国石化青岛炼化油化工有限责任公司,山东青岛266500

出　　处：《石油化工自动化》2022年第4期69-72,82,共5页Automation in Petro-chemical Industry

摘　　要：从大数据角度出发研究工艺过程数据和设备状态数据在石化企业工厂管理中的应用。开发了仪控设备状态监控平台,介绍了该平台的数据采集方法,针对海量数据进行归类定制统计以及分析,及时发现工艺变更衍生问题,设备隐性故障以降低设备故障风险。应用表明:该平台提供的信息化管理优势,可提升企业的管理水平,使工艺过程预警、报警值总量与使用前相比减少90%以上,仪表设备维修完好率大幅提高。From the perspective of big data,the application of process data and equipment status data in plant management of petrochemical enterprises is studied.The condition monitoring platform of instrument and control equipment is developed,and the data acquisition method is introduced.Aiming at massive data of the platform,classification,customized statistics and analysis is carried out.The derivative problems of process changes,equipment hidden faults are timely found,and the risk of equipment faults is reduced.The application shows that the information management advantages provided by the platform can improve the management level of enterprises,reduce the total amount of process early warning and alarm values by more than 90%compared with that before use,and greatly improve the maintenance integrity rate of instruments and equipment.

关 键 词：生产过程 设备状态 大数据 仪控设备状态 监控平台 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]