数据和知识融合驱动的智能过程系统工程研究进展

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

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

貢獻的翻譯標題Progress in intelligent process system engineering driven by data and knowledge fusion
原文Chinese (Traditional)
頁(從 - 到)143-152
頁數10
期刊Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition)
45
發行號5
DOIs
出版狀態Published - 1 9月 2018
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