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未来石化智能工厂顶层设计: 现状、对比及展望
引用本文:王子宗,高立兵,索寒生.未来石化智能工厂顶层设计: 现状、对比及展望[J].化工进展,2022,41(7):3387-3401.
作者姓名:王子宗  高立兵  索寒生
作者单位:1.中国石油化工集团有限公司,北京 100728;2.石化盈科信息技术有限责任公司,北京 100020
摘    要:国内石化智能工厂建设已有十年发展历史,目前正在进行智能工厂3.0的规划设计。石化智能工厂存在哪些挑战?石化智能制造有什么发展趋势?如何设计未来石化智能工厂?针对这三个问题,本文首先总结了石化智能工厂面临的挑战以及业务和技术能力需求。从工业软件、开放流程自动化、工程建设模式等三个视角分析了石化智能制造发展趋势,研究了国际灯塔工厂案例及启示。文章还阐述了石化智能制造的基本特征、内涵及演进路线,提出了未来石化智能工厂需要提升的5项关键能力和“六化”特征,提出了重点建设内容及智能场景规划思路,最后对未来发展进行了展望。

关 键 词:智能制造  智能工厂  设计  数字孪生  信息物理系统  建模  
收稿时间:2022-03-01

Designing petrochemical smart plant of the future: state of the art,comparison and prospects
WANG Zizong,GAO Libing,SUO Hansheng.Designing petrochemical smart plant of the future: state of the art,comparison and prospects[J].Chemical Industry and Engineering Progress,2022,41(7):3387-3401.
Authors:WANG Zizong  GAO Libing  SUO Hansheng
Affiliation:1.China Petrochemical Corporation, Beijing 100728, China
2.Petro-Cyber Works Information Technology Co. , Ltd. , Beijing 100020, China
Abstract:It has been a 10-year development history of smart plant undertaken by China Petrochemical Corporation since 2012. The planning and design smart plant 3.0 is currently underway. What problems exist in the current petrochemical smart plant? What are the development trends of intelligent process manufacturing? How to carry out top-level design of future smart plant?In response to these three questions, this paper summarizes the existing problems, business need and technical capability requirements of petrochemical plant. The technology development trend of intelligent process manufacturing is analyzed from three perspectives, including industrial software, open process automation (OPA) and EPC implementation. The cases and enlightenment of Global Lighthouse Network (GLN) are studied. The basic characteristics, connotation and evolution route of intelligent process manufacturing are expounded. The six characteristics and five key capabilities that petrochemical smart plant should have in the future are put forward. Scope of construction content, implementation consideration and key elements of use cases were discussed, and finally the future development is prospected.
Keywords:intelligent manufacturing  smart plant  design  digital twin  CPS  modeling  
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