Self-Learning Wavefront Control Model Based on Far-Field Index Gradient

2020 ◽  
Vol 47 (4) ◽  
pp. 0405001
Author(s):  
许振兴 Xu Zhenxing ◽  
杨平 Yang Ping ◽  
程涛 Cheng Tao ◽  
许冰 Xu Bing ◽  
李和平 Li Heping
Keyword(s):  
Control Model ◽  
Far Field ◽  
Wavefront Control ◽  
Model Based ◽  
Index Gradient ◽  
Self Learning

BC-BLPM: A multi-level security access control model based on blockchain technology

2021 ◽  
Vol 18 (2) ◽  
pp. 110-135
Author(s):  
Xiang Yu ◽  
Zhangxiang Shu ◽  
Qiang Li ◽  
Jun Huang
Keyword(s):  
Access Control ◽  
Control Model ◽  
Access Control Model ◽  
Model Based ◽  
Blockchain Technology ◽  
Multi Level

Temperature Prediction at the Blow End of the Converter via Control Model

2014 ◽  
Vol 1025-1026 ◽  
pp. 298-301
Author(s):  
Alexandre Furtado Ferreira
Keyword(s):  
Mathematical Model ◽  
Dynamic Control ◽  
Control Model ◽  
Mass Balances ◽  
Temperature Prediction ◽  
Oxygen Blow ◽  
Model Based ◽  
Gas Control ◽  
Prediction Capability

In the present work, a technique and model for temperature prediction at the blow end are briefly discussed, along with their limitations and perspectives for application. As a result of this analysis, a mathematical model based in heat and mass balances has been developed with a view to evaluating the possibility of improving this prediction capability. The study here presented focuses the development of a semi-dynamic control model in the LD-KGC converter (Linz-Donawitz-Kawasaki Gas Control Converter). The control model enables one to predict the temperature of the blow end by solving both the energy and mass equations. The inputs to the control model are the load data of the LD-KGC converter at the blow beginning and the collected data by the lance to 89% of oxygen blow. The results obtained in the present work were compared to the data measured in steelmaking. The semi-dynamic control model results agree well with data for LD-KGC converters.

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