Cement firing process optimizing method based on clinker quality index

Abstract

The invention discloses a cement firing process optimizing method based on a clinker quality index. The method comprises the following steps: establishing a free calcium oxide fCaO content soft measurement model of cement clinker quality index, using a multi-core least squares support vector machine to establish a cement clinker fCaO content soft measurement model, and selecting an input variable and an output variable in the clinker fCaO content soft measurement model in the cement firing process; collecting the site current value of the input variable of the clinker fCaO content soft measurement model; utilizing a quantum particle swarm optimization algorithm based on the partial search of the sequence quadratic programming method, on basis of the objective function of the set optimization algorithm to iterate and optimize an adjusting value of the optimization variable in the cement firing process, in combination with the established clinker fCaO content soft measurement model and the measured clinker fCaO content current value; and the optimization variable in the cement firing process is the input variable of the clinker fCaO content soft measurement model in the first step. The method has the beneficial effects of increasing service life of the equipment, reducing maintenance cost of the production equipment, ensuring qualified rate of the finished product quality and reducing production cost.

Description

technical field [0001] The invention relates to the technical field of cement clinker burning process, in particular to a method for optimizing the production variables of a new dry process cement clinker burning process based on the clinker quality index. Background technique [0002] The sintering process of new dry process cement clinker is an important link in the cement production process. The content of free calcium oxide in cement clinker (fCaO) in the key product of the cement clinker is an important indicator of the quality of cement clinker. The level of fCaO content directly affects the stability of cement and clinker strength. In the process of cement firing, the content of fCaO in cement clinker must be controlled within a certain range. If the content of fCaO in cement clinker is too high, the stability of cement will be unqualified; on the contrary, if the content of fCaO is too low, the cement clinker will often In the state of overburning, the quality of ce...

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Problems solved by technology

[0006] Aiming at the problem that the relationship between cement clinker fCaO content and input variables has complex nonlinear characteristics and the existing production variable optimization methods in the cement firing process cannot meet the needs of field applications, the technical problem to be solved by the present invention is to provide a clinker quality index based The cement firing process optimization method, the method establishes the cement clinker fCaO soft sensor model, and gives the clinker fCaO content value under the current working condition in real time through the soft sensor instrument embedded in the cement clinker fCaO soft sensor model, and based on This value uses an intelligent optimization algorithm to give a reasonable and quantitative adjustment value for the optimization variable of the cement firing process, so as to improve the equipment operation stability and clinker quality qualification rate in the cement clinker firing process

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