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基于数据的流程工业生产过程指标预测方法综述

陈龙 刘全利 王霖青 赵珺 王伟

陈龙, 刘全利, 王霖青, 赵珺, 王伟. 基于数据的流程工业生产过程指标预测方法综述. 自动化学报, 2017, 43(6): 944-954. doi: 10.16383/j.aas.2017.c170136
引用本文: 陈龙, 刘全利, 王霖青, 赵珺, 王伟. 基于数据的流程工业生产过程指标预测方法综述. 自动化学报, 2017, 43(6): 944-954. doi: 10.16383/j.aas.2017.c170136
CHEN Long, LIU Quan-Li, WANG Lin-Qing, ZHAO Jun, WANG Wei. Data-driven Prediction on Performance Indicators in Process Industry: A Survey. ACTA AUTOMATICA SINICA, 2017, 43(6): 944-954. doi: 10.16383/j.aas.2017.c170136
Citation: CHEN Long, LIU Quan-Li, WANG Lin-Qing, ZHAO Jun, WANG Wei. Data-driven Prediction on Performance Indicators in Process Industry: A Survey. ACTA AUTOMATICA SINICA, 2017, 43(6): 944-954. doi: 10.16383/j.aas.2017.c170136

基于数据的流程工业生产过程指标预测方法综述

doi: 10.16383/j.aas.2017.c170136
基金项目: 

国家自然科学基金 61473056

国家自然科学基金 61522304

国家科技支撑计划 61522304

国家自然科学基金 61533005

中央高校基本科研基金 (DUT16RC(3)031

国家自然科学基金 U1560102

详细信息
    作者简介:

    陈龙  大连理工大学控制科学与工程学院博士研究生.主要研究方向为流程工业生产计划与优化调度和机器学习.E-mail:chl1207@aliyun.com

    王霖青   大连理工大学控制科学与工程学院讲师.主要研究方向为流程工业生产计划与优化调度, 计算机集成制造, 机器学习.E-mail:wanglinqing@dlut.edu.cn

    赵珺   大连理工大学控制科学与工程学院教授.主要研究方向为流程工业生产计划与优化调度, 计算机集成制造, 智能优化, 机器学习和知识自动化.E-mail:zhaoj@dlut.edu.cn

    王伟  大连理工大学控制科学与工程学院教授.主要研究方向为复杂系统建模、控制与优化, 流程工业生产计划与优化调度, 知识自动化.E-mail:wangwei@dlut.edu.cn

    通讯作者:

    刘全利   大连理工大学控制科学与工程学院教授.主要研究方向为流程工业生产计划与优化调度, 嵌入式系统研究、设计及应用.E-mail:liuql@dlut.edu.cn

Data-driven Prediction on Performance Indicators in Process Industry: A Survey

Funds: 

National Natural Science Foundation of China 61473056

National Natural Science Foundation of China 61522304

National Key Technology Support Program 61522304

National Natural Science Foundation of China 61533005

Fundamental Research Funds for the Central Universities (DUT16RC(3)031

National Natural Science Foundation of China U1560102

More Information
    Author Bio:

     Ph. D. candidate at the School of Control Science and Engineering, Dalian University of Technology. His research interest covers production planning and scheduling optimization for process industry, and machine learning

     Lecturer at the School of Control Science and Engineering, Dalian University of Technology. His research interest covers production planning and scheduling optimization for process industry, computer integrated manufacturing, and machine learning

      Professor at the School of Control Science and Engineering, Dalian University of Technology. His research interest covers production planning and scheduling optimization for process industry, computer integrated manufacturing, intelligent optimization, machine learning, and knowledge automation

     Professor at the School of Control Science and Engineering, Dalian University of Technology. His research interest covers complex system modeling, control and optimization, production planning and scheduling optimization for process industry, and knowledge automation

    Corresponding author: LIU Quan-Li   Professor at the School of Control Science and Engineering, Dalian University of Technology. His research interest covers production planning and scheduling optimization for process industry and embedded systems research, design, and application. Corresponding author of this paper
  • 摘要: 生产过程关键指标的预测对于流程工业生产调度,安全生产和节能环保有着重要作用.目前,已有多种基于工业生产数据提出的生产过程指标预测方法,主要涉及特征(变量)选择,预测模型构建及其模型参数优化这三方面.本文分别针对以上三方面论述了基于数据的工业生产过程指标预测国内外研究现状,分析了各种方法的优缺点.最后,指出了流程工业生产过程指标预测方法在工业大数据及知识自动化等方面的未来研究方向和前景.
  • 图  1  基于数据生产关键指标预测的基本流程图

    Fig.  1  A flow chart of data-based prediction on performance indicators in process industry

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  • 收稿日期:  2017-03-13
  • 录用日期:  2017-05-06
  • 刊出日期:  2017-06-20

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