智能过程系统工程（iPSE）：当过程系统工程与新一代人工智能相遇

徐硕; 毕可鑫; 邱彤; 赵劲松

doi:10.16085/j.issn.1000-6613.2025-1221

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智能过程系统工程（iPSE）：当过程系统工程与新一代人工智能相遇

特约评述 | 更新时间：2026-05-09

- 智能过程系统工程（iPSE）：当过程系统工程与新一代人工智能相遇
- Intelligent process systems engineering (iPSE): When process systems engineering meets new generation artificial intelligence
- 化工进展 2026年45卷第4期页码：1877-1889
- 作者机构：
  
  1.清华大学化学工程系，北京 100084
  2.清华大学化学工程与低碳技术全国重点实验室，北京 100084
  3.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
- 作者简介：
  
  徐硕（2001—），男，博士研究生，研究方向为化工过程安全管理。E-mail: xus23@mails.tsinghua.edu.cn。
  邱彤，教授，博士生导师，研究方向为过程系统工程与能源经济。E-mail: qiutong@tsinghua.edu.cn。
- 基金信息：
  
  中国化工学会会员服务活动项目(2025HYB001)
- DOI：10.16085/j.issn.1000-6613.2025-1221
  中图分类号： TQ0;N94
- 收稿：2025-08-25，
  
  修回：2025-09-19，
  
  纸质出版：2026-04-25
- 稿件说明：
移动端阅览
徐硕, 毕可鑫, 邱彤, 等. 智能过程系统工程（iPSE）：当过程系统工程与新一代人工智能相遇[J]. 化工进展, 2026, 45(4): 1877-1889.

XU Shuo, BI Kexin, QIU Tong, et al. Intelligent process systems engineering (iPSE): When process systems engineering meets new generation artificial intelligence[J]. Chemical Industry and Engineering Progress, 2026, 45(4): 1877-1889.
徐硕, 毕可鑫, 邱彤, 等. 智能过程系统工程（iPSE）：当过程系统工程与新一代人工智能相遇[J]. 化工进展, 2026, 45(4): 1877-1889. DOI： 10.16085/j.issn.1000-6613.2025-1221.

XU Shuo, BI Kexin, QIU Tong, et al. Intelligent process systems engineering (iPSE): When process systems engineering meets new generation artificial intelligence[J]. Chemical Industry and Engineering Progress, 2026, 45(4): 1877-1889. DOI： 10.16085/j.issn.1000-6613.2025-1221.

摘要

随着新一代人工智能技术的快速发展，过程系统工程（PSE）与人工智能（AI）的融合迎来了新的发展机遇。本文通过梳理全球发展脉络与关注典型研究案例相结合的方式系统回顾了PSE与AI融合发展的历史演进过程，即从20世纪80—90年代早期的PSE+AI探索应用阶段，到深度学习浪潮推动的AI+PSE模式转变，并在此基础上提出了智能过程系统工程（iPSE）这一前瞻性学科范式。文章深入分析了各发展阶段的技术特征、演进模式和历史意义，系统阐述了iPSE作为创新学科范式的理论内涵与核心特征。本文提出的iPSE通过AI×AI嵌入式融合、螺旋上升自主寻优工作流、严格PSE逻辑框架约束和开放包容学科范式四大核心特征，实现了PSE系统论思想与AI智能技术的深度有机融合，标志着一种从传统“机理模型驱动”向“数据智能与机理认知深度融合驱动”的范式演进。与AI for Science相比，iPSE更强调安全保障导向和工程实践导向，为解决现代过程工业面临的超大规模、多目标、强约束等复杂工程化难题提供了创新性的系统解决方案。本文进一步提出iPSE学科建设应构建复合型人才培养体系，营造开放包容的学科文化，建立产学研协同创新机制。iPSE范式的建立将为石油化工行业高质量发展和双碳目标实现提供重要理论支撑，引领全球过程工业迈向智能、安全、绿色、可持续发展的新时代。

Abstract

With the rapid development of new-generation artificial intelligence technologies

the integration of Process Systems Engineering (PSE) and Artificial Intelligence (AI) has ushered in new development opportunities. This paper systematically reviewed the historical evolution of PSE-AI integration by examining global development trajectories combined with typical research case studies

spanning from the early PSE+AI exploratory application phase in the 1980s—1990s to the AI+PSE paradigm shift driven by the deep learning wave

and on this basis proposes intelligent Process Systems Engineering (iPSE) as a forward-looking disciplinary paradigm. The article provided an in-depth analysis of the technical characteristics

evolutionary patterns and historical significance of each development stage

and systematically elaborates on the theoretical connotations and core features of iPSE as an innovative disciplinary paradigm. The iPSE proposed in this paper achieved deep organic integration of PSE systems thinking and AI intelligent technologies through four core characteristics: AI×AI embedded fusion

spiral ascending autonomous optimization workflow

strict PSE logical framework constraints and an open and inclusive disciplinary paradigm

marking a paradigm evolution from traditional "mechanism model-driven" to "deep integration of data intelligence and mechanistic cognition-driven" approaches. Compared with AI for Science

iPSE placed greater emphasis on safety assurance orientation and engineering practice orientation

providing innovative systematic solutions for addressing complex engineering challenges faced by modern process industries including ultra-large scale

multi-objective and strong constraint problems. This paper further proposed that iPSE discipline construction should establish a composite talent cultivation system

foster an open and inclusive disciplinary culture

and establish industry-academia-research collaborative innovation mechanisms. The establishment of the iPSE paradigm would provide important theoretical support for high-quality development of the petrochemical industry and the achievement of carbon neutrality goals

leading the global process industry toward a new era of intelligent

safe

green and sustainable development.

关键词

Keywords

references

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