炼油工业过程控制的研究现状、问题与展望

黄德先; 江永亨; 金以慧

doi:10.16383/j.aas.2017.c170157

炼油工业过程控制的研究现状、问题与展望

doi: 10.16383/j.aas.2017.c170157

黄德先^1,2, ,,
江永亨^1,2,,
金以慧^1,2,

1.
清华大学自动化系北京 100084
2.
清华大学信息科学与技术国家实验室北京 100084

基金项目:

国家高技术研究发展计划（863计划） 2007AA04Z193

国家自然科学基金 21276137

详细信息

作者简介:
江永亨清华大学自动化系副教授.主要研究方向为复杂过程建模, 调度与优化, 计算机集成控制, 供应链管理, 智能驾驶.E-mail:jiangyh@tsinghua.edu.cn

金以慧清华大学自动化系教授.主要研究方向为复杂过程建模, 调度与优化, 综合自动化, 供应链管理.E-mail:jyh-dau@tsinghua.edu.cn

通讯作者:
黄德先清华大学自动化系研究员.主要研究方向为流程工业过程建模理论与技术, 生产过程先进控制理论与技术, 流程工业综合自动化.E-mail:huangdx@tsinghua.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-25
- 录用日期: 2017-05-06
- 刊出日期: 2017-06-20

Present Research Situation, Major Bottlenecks, and Prospect of Refinery Industry Process Control

HUANG De-Xian^{1,2
, ,},
JIANG Yong-Heng^{1,2
,},
JIN Yi-Hui^{1,2
,}

1.
Department of Automation, Tsinghua University, Beijing 100084
2.
Tsinghua National Laboratory for Information Science and Technology, Beijing 100084

Funds:

National High Technology Research and Development Program of China(863 Program) 2007AA04Z193

National Natural Science Foundation of China 21276137

More Information

Author Bio:
Associate professor in the Department of Automation, Tsinghua University. His research interest covers complex process modeling, scheduling and optimization, computer integrated control, supply chain management, and intelligent driving

Professor in the Department of Automation, Tsinghua University. Her research interest covers complex process modeling, scheduling and optimization, integrated automation, and supply chain management

Corresponding author: HUANG De-Xian Professor in the Department of Automation, Tsinghua University. His research interest covers industrial process modeling, advanced process control, and integrated automation. Corresponding author of this paper

摘要

摘要: 首先回顾了对炼油生产过程安全高效运行和节能增效至关重要的先进控制、软测量、运行优化技术的发展过程和研究应用现状，并从分析炼油生产过程的特点出发，讨论了实施先进控制中存在的问题，并推荐了解决炼油企业先进控制实施应用难题的一条可行有效的新路，最后对炼油生产过程智能制造的研究应用进行了展望.
- 炼油生产过程 /
- 先进控制 /
- 软测量 /
- 实时优化 /
- 智能制造
Abstract: The development processes and the research and application status of advanced control, soft sensing and operation optimization are reviewed firstly, and it is shown that the technologies in process control are crucial to the enhancement of oil refinery production safety and efficiency and to the reduction of energy and consumption. Then, the major difficulties in the implementation of advanced control are discussed by analyzing the features of refinery industry process. To deal with these difficulties, a new effective way is recommended. Finally, the prospect of further research and application is given in the area of intelligent manufacturing within the refinery industry process.
- Refinery production process /
- advanced control /
- soft sensing /
- real-time optimization /
- intelligent manufacturing

HTML全文

图 1 面向原油性质分类和有限操作优化模式的多维模型的研究与应用

Fig. 1 The research and application of the multidimensional model on the classification of crude oil properties and limited number of operation optimization modes

下载: 全尺寸图片幻灯片

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炼油工业过程控制的研究现状、问题与展望

doi: 10.16383/j.aas.2017.c170157

通讯作者:
黄德先清华大学自动化系研究员.主要研究方向为流程工业过程建模理论与技术, 生产过程先进控制理论与技术, 流程工业综合自动化.E-mail:huangdx@tsinghua.edu.cn

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Present Research Situation, Major Bottlenecks, and Prospect of Refinery Industry Process Control

Corresponding author: HUANG De-Xian Professor in the Department of Automation, Tsinghua University. His research interest covers industrial process modeling, advanced process control, and integrated automation. Corresponding author of this paper

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炼油工业过程控制的研究现状、问题与展望

doi: 10.16383/j.aas.2017.c170157

通讯作者: 黄德先 清华大学自动化系研究员.主要研究方向为流程工业过程建模理论与技术, 生产过程先进控制理论与技术, 流程工业综合自动化.E-mail:huangdx@tsinghua.edu.cn

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Present Research Situation, Major Bottlenecks, and Prospect of Refinery Industry Process Control

Corresponding author: HUANG De-Xian Professor in the Department of Automation, Tsinghua University. His research interest covers industrial process modeling, advanced process control, and integrated automation. Corresponding author of this paper

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通讯作者:
黄德先清华大学自动化系研究员.主要研究方向为流程工业过程建模理论与技术, 生产过程先进控制理论与技术, 流程工业综合自动化.E-mail:huangdx@tsinghua.edu.cn