DocumentCode :
296052
Title :
Neuro-aided guidance system for optimum desulphurization treatment in torpedo cars
Author :
Nakamura, Ken ; Sagara, Kaichi
Author_Institution :
Neuro Eng. Sect., Kobe Steel Ltd., Japan
Volume :
1
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
575
Abstract :
Kobe Steel Ltd. has developed an automatic guidance system for controlling the amount of desulphurization reagents to be used in the torpedo cars at Kakogawa Works. The automatic guidance system consists of a neuro-model to simulate the desulphurization process and an optimization system using the neuro-model, which minimizes the cost of desulphurization reagents to be consumed in the process. The conventional guidance system uses three linear multiregression models for predicting the amount of desulphurization reagents needed in three different regions of the hot metal sulphur content. However, the conventional system requires manual adjustment to achieve the required sulphur content in the hot metal. The neuro-desulphurization model developed features: 1) prediction of the sulphur content after the treatment; 2) development of the automatic guidance system; 3) a considerable annual cost savings; and 4) engineering studies to achieve more efficient operational conditions in the future
Keywords :
chemical variables control; neurocontrollers; optimisation; process control; steel industry; Kakogawa Works; Kobe Steel; automatic guidance system; desulphurization treatment; neural networks; neuro-model; optimization system; process control; reagents; steel industry; sulphur content; torpedo cars; Automatic control; Calcium; Content addressable storage; Control systems; Cost function; Impurities; Iron; Predictive models; Real time systems; Refining; Silicon; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.488243
Filename :
488243
Link To Document :
بازگشت