Research and development of cement clinker production data mining system

Take the production process parameters and quality data of cement clinker as the research object. A set of methods for cleaning, processing and analyzing the data of cement production process parameters is proposed, and a data mining model of cement production process parameters is expected to be established; Optimize the discretization method based on value division, form a new discretization method by introducing the knowledge of cement field, and apply it to the processing of cement clinker production data; According to the characteristics of cement clinker production data, Apriori algorithm is improved, and the parameters in the cement production process are analyzed by association rules using the improved Apriori algorithm to obtain some instructive analysis results. Based on the analysis of the category and characteristics of process data, aiming at the problems of quality data availability and analysis difficulties, a mining algorithm is designed. On the one hand, the massive production process data generated by cement enterprises are filtered by features. On the other hand, when any process data is needed, the quality data that meets the needs can be quickly selected from the characteristic production process data to provide accurate data support for the intelligent control of cement enterprises.