Abstract: As one of the important energy sources in China, petroleum refining and chemical industry is an important basis for the development of national economy. To ensure the safe and efficient production of oil refining and chemical is our important goal. In view of the petroleum and petrochemical process industry conditions that exists in the continuity of the production process, the problem of complicated variety, the technology of digital twin was introduced in the enterprise. Through the build process industry of digital twin physical model, the working condition of the twin model, the enterprise set up digital twin system, in order to improve the efficiency of enterprise production, to ensure safe and efficient operation. The paper explores the process of twin system based on digital industry of digital twin physical model, the working condition of the twin model application, in order to achieve optimal control of production, product quality control and high value of application, improve the efficiency of production, ensure the efficient operation of the factory.

Key words: digital twin, petroleum refining and chemical industry, digital twin system, digital twin model, data

摘要： 石油石化行业作为我国重要能源之一，是国民经济发展的重要基础。保障石油石化生产企业的安全高效生产是企业的重要目标。本文针对石油石化流程行业生产过程中存在的工况连续性、复杂多变性问题，引入数字孪生技术，通过构建流程行业的数字孪生物理模型、数字孪生工况模型，搭建数字孪生系统，以期提高企业生产效率，保障企业安全高效运行。研究发现，基于数字孪生系统开展原料组成优化、工艺参数设计与仿真、生产过程建模与优化控制、设备故障诊断与远程运维方面应用的示范性装置，产品质量、经济效益均有较大程度的提升，同时装置能耗有较大降低，在提高工厂生产效率，保障工厂安全高效运行的同时，为企业带来巨大的经济效益。

关键词: 数字孪生, 流程行业, 数字孪生系统, 数字孪生模型, 数据