Title :
A new prediction model for liquid level in blast furnaces based on time series analysis
Author :
Gomes, F.S.V. ; Salles, J.L.F. ; Wasem, L.A.
Author_Institution :
ArcelorMittal Tubarao, Serra, Brazil
Abstract :
The operations of Blast Furnace in the steel industry involves high levels of uncertainty since the liquid level in the hearth can not be directly measured. This paper presents the methodology to obtain the model of the health level by measuring the Electromotive Force (EMF) on the blast furnace shell, which is strongly correlated with the hearth level. It describes the results achieved with the installation of a measurement system of the EMF signal, and details all procedures for identification of a new mathematical model using time series analysis. The model is used to forecast the hearth level behavior in up to 30 minutes in a Steel Shop located in Brazil.
Keywords :
blast furnaces; electric potential; steel industry; steel manufacture; time series; Brazil; EMF signal; blast furnaces; electromotive force; mathematical model; steel industry; time series analysis; Analytical models; Blast furnaces; Correlation; Digital filters; Mathematical model; Predictive models; Slag;
Conference_Titel :
Control and Automation (ICCA), 2011 9th IEEE International Conference on
Conference_Location :
Santiago
Print_ISBN :
978-1-4577-1475-7
DOI :
10.1109/ICCA.2011.6137926
