Data Mining in Blast Furnace Smelting Parameter
In this paper, data mining methods are used in the blast furnace production control . firstly introduces some main clustering algorithms.Then clustering analysis of blast furnace operation parameters is carried out by K-Means Clustering. Analysis and comparison of practical data is conducted to determine the optimal cluster number of this algorithm for blast furnace parameters analysis, and thus yield the ideal operating value for the parameters. The optimal threshold for blast furnace parameters is determined through statistical analysis, repeated experiments and field assessment, and the difference between blast furnace state as estimated and the practical one analyzed. Finally, the factor analysis method to reduce the dimension of parameters. Mining test in data of tangshan iron&steel shows that the method is effective in practical application.