数据和知识融合驱动的智能过程系统工程研究进展

Translated title of the contribution: Progress in intelligent process system engineering driven by data and knowledge fusion

Qunxiong Zhu, Zhiqiang Geng, Yuan Xu, Yanlin He, Yongming Han

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Since the establishment of the Engineering Research Center of Intelligent Process System Engineering (PSE) of the Ministry of Education of China, a number of highly effective intelligent PSE scientific studies, technological innovations and engineering applications driven by data and knowledge fusion have been developed over the past decade. In this paper, some key technologies such as modeling and optimization, alarm management and fault diagnosis, energy efficiency analysis and evaluation, and relevant research progress related to energy-saving, emission reduction, energy consumption and safety operation are introduced. Finally, by combining the deep integration of information technology and industrialization and the transition and upgrading of enterprises based on big-data, cloud computing, Industry 4.0, intelligent manufacturing, and artificial intelligence, future development directions of PSE are predicted.

Translated title of the contributionProgress in intelligent process system engineering driven by data and knowledge fusion
Original languageChinese (Traditional)
Pages (from-to)143-152
Number of pages10
JournalBeijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition)
Volume45
Issue number5
DOIs
Publication statusPublished - 1 Sept 2018
Externally publishedYes

Keywords

  • Alarm management
  • Data and knowledge fusion
  • Energy efficiency analysis and evaluation
  • Fault diagnosis
  • Modeling and optimization

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