Method and system for optimizing rolling force based on big data

Abstract

The invention discloses a method for optimizing rolling force based on big data. The method comprises the steps that (1) historical rolling data of chemical components of a rolled steel plate, historical set rolling force corresponding to rolling temperature sections and historical actual rolling force are obtained; (2) preprocessing historical rolling data and removing abnormal data; (3) rolling force deviation is obtained through the historical set rolling force and the historical actual rolling force; (4) when the chemical components of the steel plate to be rolled are the same as those of the rolled steel plate in the historical rolling data, executing the step (4a); if the components are different, performing step (4b); (4a) multiplying the first adjustment coefficient by the historical set rolling force corresponding to the first adjustment coefficient to obtain a new set rolling force, and issuing the new set rolling force to the steel plate to be rolled (4b) multiplying the second adjustment coefficient by the corresponding given set rolling force to obtain a new set rolling force, and issuing the new set rolling force to the steel plate to be rolled.

Description

technical field [0001] The invention relates to a method and system for controlling hot steel rolling, in particular to a method and system for optimizing rolling force. Background technique [0002] As we all know, the rolling force is the pressure required during the rolling process of the rolling mill. It is mainly affected by the deformation resistance of the rolled piece itself, and is also proportional to the rolling speed and the width of the rolled piece. Calculating the rolling force is a very important operation in the rolling process. It is not only the priority step in the rolling process setting, but also the accuracy of this operation determines the accuracy of the rolled piece (including dimensional accuracy and shape quality) . Therefore, the optimization of the step of calculating the rolling force is a necessary work to improve the rolling precision in the hot rolling process of the iron and steel industry. [0003] In the prior art, there are already met...

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Problems solved by technology

[0011] However, this method can only be applied when the trend of deformation resistance is relatively stable. When the trend of deformation resistance varies greatly with temperature, this adjustment cannot meet the demand

Moreover, in the production process of the medium and thick plate production line, the difference in control temperature is indeed huge, and the same composition also has a very different temperature control range, so the adaptive model optimization has certain limitations

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