Roller kiln firing zone temperature prediction method based on mechanism and data hybrid driving

Abstract

The invention discloses a roller kiln firing zone temperature prediction method based on mechanism and data hybrid driving. The method comprises the following steps: S1, modeling a mechanism model on a mechanism process of a roller kiln firing zone through the law of conservation of mass and the law of conservation of energy, and performing solving by using a finite difference method; S2, based on an instant moving window and local weighted kernel principal component regression, establishing an error compensation model based on data driving; S3, combining the mechanism model obtained in the S1 with the error compensation model obtained in the S2 to obtain a roller kiln firing zone temperature hybrid prediction model; S4, predicting the temperature of the roller kiln firing zone by using the roller kiln firing zone temperature hybrid prediction model. According to the method, the mechanism model of the temperature of the roller kiln firing zone kiln is established, and temperature compensation is carried out on errors of mechanism model results by using a data modeling method; the effectiveness of the model and the high precision of output results during working condition change can be ensured at the same time by combining a hybrid modeling strategy of mechanism modeling and data modeling.

Description

technical field [0001] The invention relates to the field of temperature prediction in the firing zone of a ceramic roller kiln, and more specifically, relates to a method for predicting the temperature of the firing zone of a roller kiln based on a combination of mechanism and data drive. Background technique [0002] The firing of ceramics is a process in which green bodies are fired into finished products. The interior of the kiln is a multi-physical field coupling, nonlinear, multi-variable, pure lag, time-varying and multi-disturbance process. The entire firing process of ceramics involves Due to many factors, it is difficult to accurately establish a complex roller kiln overall system. Therefore, it is scientific to grasp the most important process in the ceramic production process and study the key firing process. Effective prediction of the temperature in the firing zone can accurately grasp the operating conditions in the kiln and provide effective guidance for ope...

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Problems solved by technology

[0008] The invention provides a method for predicting the temperature of the firing zone of a roller kiln based on a combination of mechanism and data, which can predict the temperature in the production zone of a ceramic roller kiln and solve the problem that a single data-driven modeling cannot describe the inside of the kiln. Mechanism process, the effectiveness of the model will be highlighted when the operating conditions of the kiln change, and the problem of not having strong robustness

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