Method for processing measured data of plate shape regulation and control effect coefficient

Abstract

The invention discloses a method for processing measured data of a plate shape regulation and control effect coefficient, and belongs to the technical field of metallurgical rolling. The method comprises the following steps that S1, the measured values of the plate shape regulation and control effect coefficient are calculated; S2, the measured plate shape regulation and control effect coefficients are ranked; S3, each group of plate shape regulation and control effect coefficients is subjected to weight allocation after ranking is carried out, and a weighted plate shape regulation and controleffect coefficient is calculated; S4, weighted plate shape regulation and control effect coefficient calculation result data fitting is carried out; and S5, whether the fitted plate shape regulationand control effect coefficient meets requirements or not is judged. According to the method, the measured data are processed through a variable weighting calculating method, and therefore the accurateplate shape regulation and control effect coefficient is obtained, the plate shape regulation and control effect coefficient is closer to the actual condition, the control capability of an automaticplate shape control system can be improved, and the quality of exported strips can be improved.

Description

technical field [0001] The invention relates to a method for processing measured data of plate shape control efficacy coefficient, which belongs to the technical field of metallurgical rolling. Background technique [0002] The automatic control system of cold-rolled strip shape is a key part to ensure the quality of finished strips, and the system is established based on the efficiency coefficient of shape regulation. Therefore, only by obtaining the accurate shape regulation efficiency coefficient, can the adjustment amount of the regulation mechanism such as bending roll, lateral movement and inclination required to eliminate the shape deviation be accurately calculated. The shape regulation efficiency coefficient can be analyzed from the perspective of the measured shape stress distribution, which can describe the shape regulation performance of any shape. Compared with the traditional model, it can realize the comprehensive utilization of the flatness measurement infor...

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Problems solved by technology

The calculation method of the shape control efficiency coefficient established by the finite element simulation model has high accuracy, but its calculation efficiency cannot meet the requirements of online real-time control, and the offline calculation method for some working conditions cannot fully reflect the working conditions of the rolling process , resulting in the inability to effectively control plate shape defects under certain rolling conditions

[0003] Although the calculation of the self-learning model of the plate shape control efficiency coefficient based on the measured data meets the requirements of online real-time control, its calculation results are affected by the complex working environment on site, and a large number of measured data have noise, outliers, omissions and deviations. The calculation results are not ideal, and the measured shape control efficiency coefficient cannot match the actual situation

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