Application of Data Mining Method Based on Rough Set Theory in Cement Decomposing Furnace

This paper firstly introduced the current status of Chinese flow industry, some difficulties to extract control rules in the course of modern industrial production, and then the paper presented a set of scheme about data mining method based on rough set theory, the algorithm avoided the defects of previous association rule mining, and reduced the computationally efficient obviously. The scheme was put into effect by extracting control rules of decomposing furnace outlet´s temperature in the course of cement production. The system designed by above-mentioned way achieves a satisfying effect by experimental verification. The results in this paper show that the scheme has merits such as rationality, effectiveness and improving executive efficiency.