石油化工设计 ›› 2026, Vol. 43 ›› Issue (1): 69-72.

• 综述 • 上一篇    

从经营视角对石化智能工厂建设的思考

田耕   

  1. 中国石化工程建设有限公司,北京 100101
  • 出版日期:2026-02-25 发布日期:2026-02-25
  • 作者简介:田耕,男,2012年毕业于美国康奈尔大学电子与计算机工程专业,工学硕士,高级工程师,现从事石化企业数字工程管理工作,专业副总。联系电话:010-84878403;E-mail:tiangeng.sei@sinopec.com

Thoughts on Construction of Smart Petrochemical Factories from an Operational Perspective 

Tian Geng   

  1. SINOPEC Engineering Incorporation,Beijing, 100101
  • Online:2026-02-25 Published:2026-02-25

摘要: 石化智能工厂作为支撑炼化行业转型升级的核心载体,当前正处于从局部优化向全局协同跨越的关键阶段。面对成品油消费达峰、化工产能过剩以及新能源替代加速等多重挑战,炼化企业亟需以智能工厂为抓手,突破传统经营模式的制约。现通过分析模型孤岛、信息壁垒及外部数据协同效率低下等核心问题,系统性提出三位一体的解决方案:以设计为源头的全生命周期一体化模型实现设备层、装置层到企业层的纵向贯通;以标准化数据交互为核心的横向信息集成总线打通产业链油、气、炼、化、销、储、运全环节协同;以数据资产价值转化为目标的业务应用体系精准覆盖经营决策、生产优化与风险防控场景。未来,随着时序垂域大模型、工业互联网等技术的深度应用,石化智能工厂将加速推动企业从生产驱动价值驱动跃迁,为构建高效敏捷的新型经营生态提供持续动能。

关键词: 智能工厂, 炼化企业, 生产经营

Abstract:

As a core enabler for the transformation and upgrading of the refining and petrochemical industry, smart petrochemical factory is currently at a critical stage of transitioning from localized optimization to holistic, enterprise-wide collaboration. Facing multiple challenges such as peak demand for refined oil products, overcapacity in chemical production, and accelerated substitution by new energy sources, refining and petrochemical enterprises urgently need to leverage smart factories to overcome the constraints of traditional operational models. By systematically analyzing key issues including model silos, information barriers and inefficient external data collaboration, this paper proposes an integrated “trinity” solution: a design-driven, full-lifecycle integrated model that achieves vertical integration across equipment, unit and enterprise levels, a horizontally oriented information integration bus centered on standardized data exchange, enabling end-to-end coordination across the entire industrial chain encompassing oil, gas, refining, chemicals, sales, storage and logistics, and a business application system focused on realizing the value of data assets, precisely addressing scenarios in strategic decision-making, production optimization and risk mitigation. Looking ahead, with the deep application of technologies such as domain-specific large language models for time-series data and industrial internet, smart petrochemical factories will accelerate the shift of enterprises from “production-driven” to “value-driven” operations, providing sustained momentum for building a highly efficient and agile next-generation operating ecosystem.

Key words: smart factory, refining and petrochemical enterprise, production and operation