数字孪生技术助力石化智能工厂

doi:10.16085/j.issn.1000-6613.2023-0643

化工进展 ›› 2023, Vol. 42 ›› Issue (7): 3365-3373.DOI: 10.16085/j.issn.1000-6613.2023-0643

• 专栏：智能化工装备与安全 • 上一篇下一篇

数字孪生技术助力石化智能工厂

索寒生¹(), 贾梦达¹, 宋光²^,³, 刘东庆¹()

^1.石化盈科信息技术有限责任公司，北京 100007
^2.东北大学工业智能与系统优化国家级前沿科学中心，辽宁沈阳 110819
^3.智能工业数据解析与优化教育部重点实验室（东北大学），辽宁沈阳 110819

收稿日期:2023-04-19 修回日期:2023-05-23 出版日期:2023-07-15 发布日期:2023-08-14
通讯作者: 刘东庆
作者简介:索寒生（1976—），男，博士，教授级高级工程师，研究方向为石化行业智能制造、工业互联网平台等。E-mail：hansheng.suo@pcitc.com。
基金资助:
中国石化股份公司技术服务项目(220654);国家自然科学基金重大项目(72192830);111项目(B16009)

Digital twin-driving force for petrochemical smart factory

SUO Hansheng¹(), JIA Mengda¹, SONG Guang²^,³, LIU Dongqing¹()

^1.Petro-Cyber Works Information Technology Co. , Ltd. , Beijing 100007, China
^2.National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang 110819, Liaoning, China
^3.Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang 110819, Liaoning, China

Received:2023-04-19 Revised:2023-05-23 Online:2023-07-15 Published:2023-08-14
Contact: LIU Dongqing

摘要/Abstract

摘要：

数字孪生技术的应用已经在多个领域发挥着越来越重要的作用，我国工业和信息化部《“十四五”智能化制造发展规划》中也强调了数字孪生技术的重要性。本文阐述了数字孪生技术在石油石化行业的应用现状，并介绍了石化智能工厂全生命周期数字孪生平台框架。该框架以工业互联网平台为支撑，以石化企业复杂的工艺与装置为核心，可以提供石化智能工厂的数字化交付、智能建设服务、智能运行模拟以及智能维护等服务。同时，本文还规划了基于数字孪生的智能工厂生产调度可视仿真、基于增强现实的智能工厂设备智能巡检和基于虚拟现实的智能工厂沉浸式培训与安全演习三个应用场景。最后，本文分析了数字孪生技术在石油石化行业的应用挑战与措施，为数字孪生技术在智能工厂应用提供了指导建议。本文的研究成果对于推动数字孪生技术在石油石化行业的应用具有重要意义，同时也为数字孪生技术在智能工厂应用提供了新的思路和方法。

关键词: 数字孪生, 智能工厂3.0, 石油石化行业, 全生命周期

Abstract:

The application of digital twin technology has played an increasingly important role in various fields, and its importance is also emphasized in the “14th Five-Year Plan for the Development of Intelligent Manufacturing” issued by the ministry of industry and information technology. This article describes the current application status of digital twin technology in the petroleum and petrochemical industry and designs a framework for the full lifecycle digital twin platform of petrochemical intelligent factories. Supported by industrial Internet platforms and focusing on the complex processes and devices of petrochemical enterprises, this framework can provide services such as digital delivery, intelligent construction, simulation of intelligent operations, and intelligent maintenance for petrochemical intelligent factories. In addition, three application scenarios are planned in this article, namely visual simulation for production scheduling in intelligent factories based on digital twins, intelligent inspection of factory equipment using augmented reality, and immersive training and safety drills for intelligent factories based on virtual reality. Finally, this article analyzes the challenges and prospects of applying digital twin technology in the petroleum and petrochemical industry, providing guidance and suggestions for its application in intelligent factories. The research findings of this article are of great significance in promoting the application of digital twin technology in the petroleum and petrochemical industry, and they also provide new ideas and methods for the application of digital twin technology in intelligent factories.

Key words: digital twin, smart plant 3.0, petroleum and petrochemical industry, life cycle

中图分类号:

索寒生, 贾梦达, 宋光, 刘东庆. 数字孪生技术助力石化智能工厂[J]. 化工进展, 2023, 42(7): 3365-3373.

SUO Hansheng, JIA Mengda, SONG Guang, LIU Dongqing. Digital twin-driving force for petrochemical smart factory[J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3365-3373.

图/表 1

参考文献 29

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数字孪生技术助力石化智能工厂

Digital twin-driving force for petrochemical smart factory

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