Coal consumption optimization method based on cement sintering system

The invention provides a coal consumption optimization method based on a cement sintering system. The method comprises the following steps: acquiring historical data and real-time data corresponding to variables of target equipment in the cement sintering system; wherein the variables comprise a production controlled variable and a production target; determining an influence relationship between the production controlled variable and the production target; constructing a variable classification model according to the influence relationship; and generating an optimization recommendation result according to the variable real-time data and the variable classification model. A large amount of historical data in the cement sintering system is trained through the support vector machine, a support vector machine classification model for the cement sintering system is generated, then prediction optimization is carried out on adjustable input variables, the problem of uncertainty of intelligent optimization of coal co