Soft measurement method for granularity of cement raw material grinded by ball mill

Abstract

The invention relates to a soft measurement method for granularity of cement raw material grinded by ball mill. The method comprises: selection of auxiliary variables, wherein a rotating speed of a powder concentrator, a feeding flow, an inlet wind pressure of the powder concentrator and a load of the powder concentrator are used as auxiliary variables of the soft measurement model for granularity of finished products; Data pre-treatment, wherein original data are screened, filtered and standardized; soft measurement modeling based on GA-NN (genetic algorithm optimized neural network), wherein a learning algorithm used for neural network training is brought forward based on GA (genetic algorithm), weights needed to be adjusted in a network are recognized as chromosomal genes, and the network training process is completed through chromosome selection, crossover and mutation; and correction of the soft measurement model by using a long-term correction way. The method can measure quite important finished product granularity parameters which are hard to be directly detected, thereby being capable of implementing advanced control and optimized method for a raw material grinding process by the ball mill.

Description

technical field [0001] The invention relates to the field of parameter monitoring in the cement production process, in particular to a soft measurement method for the particle size of cement raw meal powder in a ball mill. Background technique [0002] The particle size of the finished product is an important quality indicator in the cement raw meal grinding process of the ball mill. Cement raw meal with appropriate particle size and uniform particle size is conducive to the rapid and stable chemical reaction in the firing process. In order to ensure the smooth progress of production, the cement raw meal grinding process must control the particle size of the finished product within a certain range. During the production process, due to the lack of on-line detection equipment for the particle size of the finished product, the advanced control system cannot obtain the particle size information of the raw material in time. Although cement enterprises can obtain off-line measu...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the shortage of real-time measurement of finished product particle size in the current raw meal grinding process, the technical problem to be solved by the present invention is to provide a method that can overcome the shortcomings of low estimation accuracy, slow convergence speed, easy to fall into local optimum, etc. Soft-sensing method for real-time, continuous and accurate estimation and prediction of finished product particle size

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