Data mining-based plate shape control key process parameter optimization system

Abstract

The invention relates to a data mining-based plate shape control key process parameter optimization system, and belongs to the technical field of automatic control of cold continuous rolling plate shape. The data mining method is adopted for acquiring key process parameter optimization settings which can meet the good cold continuous rolling plate shape. The system is characterized by comprising the following functional modules: an actual data acquisition and storage module, a process data pre-processing module, a process data storage module, a process data correlation analysis module, a process data clustering analysis module, a process data association rule analysis module, an optimization result generating module and an optimization result application module. The system has the advantage that the good plate shape can be obtained by applying the plate shape control system. The method avoids endless theoretical research on plate shape control and fully utilizes actual plate shape control process data containing successful operation experience of field operators, and the plate shape process parameter settings which can obtain the good plate shape are acquired by data mining, so the plate shape qualification rate and the finished product rate of cold continuous rolled strip steel are improved.

Description

technical field [0001] The invention belongs to the technical field of automatic control of strip shape in continuous cold rolling, and in particular relates to a method for optimizing key process parameters of strip shape control based on data mining. Background technique [0002] Strip shape control in cold tandem rolling is a multivariable, time-varying, strongly coupled and nonlinear complex process. In the rolling process, various influencing factors of strip shape, such as rolling force, rolling speed, roll bending, roll shifting, cooling Flow rate, tensile stress, etc. will change with time process and spatial position, and interact and couple with each other. [0003] According to the theory of roll elastic deformation and strip plastic deformation, the mathematical relationship between various shape factors and the final roll gap is quite complicated, so the current mathematical models in the shape control system are all based on a large number of simplifications an...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a flatness control key process parameter optimization system based on data mining, which overcomes the low precision of flatness mathematical model setting and numerous flatness control means in the cold continuous rolling flatness control process. The optimal combination can obtain good plate shape and other issues

Images