The invention discloses an intelligent regulation and control method applied to
cement grinding particle
gradation, and relates to the technical field of
cement grinding control, and the method comprises the following steps: S1, collecting
grinding system operation parameters in real time, including mill current,
powder concentrator rotating speed, feeding amount, grinding sound signals and online particle size detection data; s2, calculating core characteristic parameters based on the operation parameters, wherein the core characteristic parameters comprise an effective crushing
power index, a dynamic
fine powder retention rate and an in-mill material filling state index; s3, inputting the core characteristic parameters into a grading prediction model, and outputting predicted
particle size distribution; s4, generating an adjustment instruction through a hierarchical control strategy based on the predicted
particle size distribution; and S5, outputting the adjustment instruction to an execution mechanism. The
particle size distribution is accurately predicted by collecting and analyzing the operation parameters of the grinding
system in real time and combining core characteristic parameters, closed-loop intelligent regulation and control are achieved, the grinding efficiency, stability and product quality are improved, and meanwhile the control precision is optimized.