石油化工设备技术 ›› 2026, Vol. 47 ›› Issue (5): 55-57,60.doi: 10.3969/j.issn.1006-8805.2026.05.010

• 设备管理 • 上一篇    

基于数据治理的石化装置设备ERP-EM属性自动填充机制研究

宋 哲   

  1. 中国石化工程建设有限公司,北京 100102
  • 收稿日期:2026-07-21 修回日期:2026-04-25 接受日期:2024-12-28 出版日期:2026-01-27 发布日期:2026-09-16
  • 作者简介:宋哲,男,2005年毕业于武汉大学应用化学专业,硕士,现从事石油化工数字化相关工作,高级工程师,已发表论文3篇。

Research on the Automatic Filling Mechanism of ERP-EM Attributes for Petrochemical Plant Equipment Based on Data Governance

Song Zhe   

  1. SINOPEC Engineering Incorporation, Beijing, 100101
  • Received:2026-07-21 Revised:2026-04-25 Accepted:2024-12-28 Online:2026-01-27 Published:2026-09-16

摘要: 石油化工装置工况复杂,对设备管理提出了较高的要求。石化企业借助ERP(企业资源计划)系统可提升企业经营管理水平,但同时也增加了ERP属性数据的维护工作。一般而言,一套中等规模石化装置投产后,单名运维人员录入及维护EM(设备全生命周期管理)数据需耗时近20人月。一套大型炼化全厂项目一般为15套中型装置,项目投产后EM数据的初始化工作极为繁重。文章介绍了一种基于数据治理的石化装置设备ERP-EM属性的自动填充机制。该机制能够通过数字化交付的方式收集设备静态信息并对结构化数据进行数据治理,然后,通过数字化交付平台与ERP系统建立接口,完成属性的自动录入。采用该机制后,可大幅提升工作效率和信息的准确性。

关键词: 石油化工, EM, 设备管理, 数字化交付

Abstract: Petrochemical plants operate under complex working conditions, which impose high demands on equipment management. While ERP systems help petrochemical enterprises improve their operational management, they also increase the workload of maintaining ERP attribute data. In general, after the commissioning of a medium-scale petrochemical plant, it takes nearly 20 person-months for a single operation-maintenance staff to input and maintain EM (Equipment Lifecycle Management) data. A large-scale integrated refining-chemical complex project typically consists of 15 medium-sized process units, and the initialization of EM data after project commissioning is extremely labor-intensive. This paper presents an automatic attribute filling mechanism for ERP-EM of petrochemical plant equipment based on data governance. The mechanism collects static equipment information through digital delivery and performs data governance on structured data, after which an interface is established between the digital delivery platform and the ERP system to accomplish automatic attribute entry. Adoption of this mechanism can greatly improve work efficiency and information accuracy.

Key words: petrochemical industrylEMlequipment managementldigital delivery