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In the modern blast furnace, there are huge databases that store a large collection of process variables. Starting from this point, it is possible to extract useful information buried in the signals and to obtain relationships among different parameters of the plants. This work takes too much time to be carried out during daily blast furnace operation. However, once performed, starting from the stored data, the results can be re-transferred to the process computer in a way that allows the plant operator to obtain a more comprehensive view on the meaning of the current variables.

This project shows ways to apply the aforementioned techniques to the data obtained from the probes located in the throat and shaft of the blast furnace and also the results obtained.

Above burden and in burden probes, stock-rod signal and top gas features, were employed to develop models to improve the stability of the process, in some cases by forecasting the blast furnace trends and in others by achieving a better control of the burden distribution.

Additional information

Authors: MOCHON J, CENIM, Madrid (ES);FARACI E, Centro Sviluppo Materiali (CSM), Roma (IT);SAXEN H, Rautaruukki OY, Raahe (FI);SAIZ J, Aceralia, Gijon (ES);MOCHÓN J, CENIM, Madrid (ES);JIMÉNEZ J, CENIM, Madrid (ES);RAUSCH H, AG der Dillinger Hüttenwerke, Dillingen (DE);HEINÄNEN K, Rautaruukki OY, Raahe (FI);SAÍZ J, Aceralia, Gijon (ES)
Bibliographic Reference: EUR 20725 EN (2003), 137pp. Euro: 25
Availability: EUR-OP reference: KI-NA-20725-EN-S Available from EUR-OP sales agents URL:
ISBN: ISBN: 92-894-5697-3
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