Blast furnace hoist charging control system based on ActiveX technology

2013 ◽  
Author(s):  
Qian Feng ◽  
Lei Wang
Keyword(s):  
Blast Furnace ◽  
Control System ◽  
Charging Control

scholarly journals Optimization and Enhancement of Charging Control System of Electric Vehicle Using MATLAB SIMULINK

2021 ◽  
Vol 1105 (1) ◽  
pp. 012004
Author(s):  
R H Ali Faris ◽  
A A Ibrahim ◽  
N B Mohamad wasel ◽  
M M Abdulwahid ◽  
M F Mosleh
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Matlab Simulink ◽  
Charging Control

scholarly journals A New “User-friendly” Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier

2010 ◽  
Vol 50 (5) ◽  
pp. 730-737 ◽  
Author(s):  
Francisco A. García ◽  
Pascual Campoy ◽  
Javier. Mochón ◽  
Iñigo Ruiz-Bustinza ◽  
Luis Felipe Verdeja ◽  
...  
Keyword(s):  
Neural Network ◽  
Blast Furnace ◽  
Control System ◽  
Temperature Profile ◽  
User Friendly

scholarly journals A novel optical granulometry algorithm for ore particles

2010 ◽  
Vol 46 (1) ◽  
pp. 87-95
Author(s):  
Y. Junhao ◽  
Z. Xiubin ◽  
Q. Jie
Keyword(s):  
Particle Size ◽  
Blast Furnace ◽  
Control System ◽  
Particle Size Distribution ◽  
System Dynamics ◽  
Blast Furnace Process ◽  
Furnace Process ◽  
Irregular Shapes ◽  
Novel Algorithm ◽  
Reliable Basis

This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. This optical granulometry algorithm is particularly suitable for blast furnace process control, so its result can be used directly as a reliable basis for control system dynamics optimization. The paper explains the algorithm and its concept, as well as its method, which consists of five steps to detect ore granularity and distribution. A series of comparative experiments under industrial environments proved that this novel algorithm, compared with conventional ones, improves the accuracy of granulometry.

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