Grate cooler optimization method based on time memory modeling

Abstract

The invention belongs to the field of industrial-grade data analysis and optimization, and designs a grate cooler optimization method based on time memory modeling. According to the method, preprocessing is carried out based on original data, in order to establish a high-precision model, an attention mechanism feedforward neural network is adopted to carry out weight distribution on an input sequence, and then a long and short term memory neural network is utilized to establish a high-precision network model for grate cooler parameters; and the target function is optimized by using a multi-target optimization algorithm, and finally the controllable variable is adjusted according to the optimized input variable value of the optimization result. According to the grate cooler optimization method based on time memory modeling, the delay of grate cooler parameters is overcome, a more accurate network model is established, and meanwhile, a multi-target genetic optimization algorithm is adopted, so that the energy consumption of a cement cooling system is reduced, and the product quality is more stable.

Description

technical field [0001] The invention relates to a method for optimizing a grate cooler based on time memory modeling. More specifically, the invention relates to a method capable of overcoming the delay of parameters of the grate cooler, realizing stable production quality of grate cooler clinker, and reducing energy consumption. Methods. Background technique [0002] In the cement production process, the adjustment of relevant parameters of the grate cooler directly determines the production quality of cement, but the energy consumption per unit of cement clinker in my country is 50% higher than that in developed countries, and the heat and power losses are much higher than the international average level. , the discharge of dust waste and harmful gases is also very large, and it is of great significance to improve the production quality of cement and reduce energy consumption. Since it takes a certain amount of time for the cement clinker to cool from entering the grate co...

AI Technical Summary

Problems solved by technology

[0003] The present invention designs a grate cooler optimization method based on time memory modeling, which can be applied to the optimization of cooling parameters in cement production, and solves the defect that traditional optimization algorithms cannot solve the delay of parameters

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