石油和化工行业智能优化制造若干问题及挑战

钱锋; 杜文莉; 钟伟民; 唐漾

doi:10.16383/j.aas.2017.c170129

石油和化工行业智能优化制造若干问题及挑战

doi: 10.16383/j.aas.2017.c170129

钱锋^1,,
杜文莉^1,,
钟伟民^1,,
唐漾^1, ,

1.
华东理工大学化工过程先进控制和优化技术教育部重点实验室上海 200237

基金项目:

国家自然科学基金面上项目 21376077

国家科技支撑计划项目 2015BAF22B02

详细信息

作者简介:
钱锋华东理工大学教授, 中国工程院院士.主要研究方向为复杂石化工业过程建模、控制与优化, 智能控制.E-mail:fqian@ecust.edu.cn

杜文莉华东理工大学教授.主要研究方向为控制理论与应用, 复杂工业过程建模, 控制与优化.E-mail:wldu@ecust.edu.cn

钟伟民华东理工大学教授.主要研究方向为工业过程建模与优化控制.E-mail:wmzhong@ecust.edu.cn

通讯作者:
唐漾华东理工大学教授.主要研究方向为复杂网络和多智能体系统建模、控制与优化.E-mail:yangtang@ecust.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-14
- 录用日期: 2017-05-26
- 刊出日期: 2017-06-20

Problems and Challenges of Smart Optimization Manufacturing in Petrochemical Industries

QIAN Feng^1
,,
DU Wen-Li^1
,,
ZHONG Wei-Min^1
,,
TANG Yang^{1
, ,}

1.
Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai 200237

Funds:

National Natural Science Foundation of China 21376077

National Key Scientific and Technical Project of China 2015BAF22B02

More Information

Author Bio:
Professor at East China University of Science and Technology, Academician of Chinese Academy of Engineering. His research interest covers modeling, control, and optimization of petrochemical complex industrial processes and intelligent control

Professor at East China University of Science and Technology. Her research interest covers control theory and applications, modelling, control and optimization of complex industrial process

Professor at East China University of Science and Technology. His research interest covers modeling, control and optimization of industrial process

Corresponding author: TANG Yang Professor at East China University of Science and Technology. His research interest covers modelling, control and optimization of complex networks and multi-agent systems. Corresponding author of this paper

摘要

摘要: 石油和化工行业是国家的基础性产业，目前面临转型升级的重大需求.本文首先回顾了石油和化工行业在生产全流程的信息检测、建模、优化控制，企业经营管理决策以及故障监测和安全环保等几个方面的进展.剖析了当前石油和化工行业存在的主要问题，提出了利用现代信息技术从生产、管理以及营销全流程优化出发，推进实现石化行业智能优化制造的智能化、绿色化、安全化的愿景目标，讨论了石油和化工行业智能优化制造所面临的新挑战.
- 石油与化工行业 /
- 智能优化制造 /
- 先进控制和优化技术 /
- 愿景
Abstract: The petrochemical industry is one of the foundation industries of the national economy, which currently requires transformation and upgrading. In this paper we firstly review the full petrochemical industry process in terms of information detection of plant-wide production, integration of data and data analysis, modelling and optimal control, decision-making of enterprise operation and management, as well as fault monitoring, security and environmental protection. Then we analyze the major existing problems in the petrochemical industry. And we propose to utilize modern information technology to realize plant-wide optimizations of production, management and marketing, so as to fulfill the visions and goals of the petrochemical industry: high-end, smart, green and safety production. Finally, we discuss the new challenges in the smart and optimal manufacturing in the petrochemical industry.
- Petrochemical industry /
- smart optimization manufacturing /
- technologies of advanced control and optimization /
- future vision and goal
注释:

1) 本文责任编委苏宏业

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石油和化工行业智能优化制造若干问题及挑战

doi: 10.16383/j.aas.2017.c170129

通讯作者:
唐漾华东理工大学教授.主要研究方向为复杂网络和多智能体系统建模、控制与优化.E-mail:yangtang@ecust.edu.cn

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Problems and Challenges of Smart Optimization Manufacturing in Petrochemical Industries

Corresponding author: TANG Yang Professor at East China University of Science and Technology. His research interest covers modelling, control and optimization of complex networks and multi-agent systems. Corresponding author of this paper

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石油和化工行业智能优化制造若干问题及挑战

doi: 10.16383/j.aas.2017.c170129

通讯作者: 唐漾 华东理工大学教授.主要研究方向为复杂网络和多智能体系统建模、控制与优化.E-mail:yangtang@ecust.edu.cn

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Problems and Challenges of Smart Optimization Manufacturing in Petrochemical Industries

Corresponding author: TANG Yang Professor at East China University of Science and Technology. His research interest covers modelling, control and optimization of complex networks and multi-agent systems. Corresponding author of this paper

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通讯作者:
唐漾华东理工大学教授.主要研究方向为复杂网络和多智能体系统建模、控制与优化.E-mail:yangtang@ecust.edu.cn