TY - JOUR
T1 - 数据和知识融合驱动的智能过程系统工程研究进展
AU - Zhu, Qunxiong
AU - Geng, Zhiqiang
AU - Xu, Yuan
AU - He, Yanlin
AU - Han, Yongming
N1 - Publisher Copyright:
© 2018, Editorial Board of Journal of Beijing University of Chemical Technology (Natural Science Edition). All right reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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.
AB - 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.
KW - Alarm management
KW - Data and knowledge fusion
KW - Energy efficiency analysis and evaluation
KW - Fault diagnosis
KW - Modeling and optimization
UR - http://www.scopus.com/inward/record.url?scp=85056739112&partnerID=8YFLogxK
U2 - 10.13543/j.bhxbzr.2018.05.017
DO - 10.13543/j.bhxbzr.2018.05.017
M3 - Article
AN - SCOPUS:85056739112
SN - 1671-4628
VL - 45
SP - 143
EP - 152
JO - Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition)
JF - Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition)
IS - 5
ER -