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

A technology of process parameter optimization and shape control, applied in contour control and other directions, can solve the problems of many shape control methods and low setting accuracy of shape mathematical model, and achieve the effect of improving shape qualification rate and success rate.

Active Publication Date: 2011-05-25
BEIJING SHOUGANG AUTOMATION INFORMATION TECH
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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 m

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

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Embodiment Construction

[0054] A data mining-based optimization method for key process parameters of flatness control proposed by the present invention uses a data mining algorithm to obtain a good flatness control rule, which is applied to a flatness control system for continuous cold rolling. The detailed description is as follows in conjunction with accompanying drawings and examples:

[0055] Taking a specific tandem cold rolling production line as an example, the whole process of applying the data mining-based flatness control key process parameter optimization system to it is described in detail below.

[0056] The main parameters of the tandem cold rolling production line selected in this embodiment are:

[0057] Continuous rolling process section: SMS five-stand tandem cold rolling unit;

[0058] Roll type: the five stands are all six-high rolling mills, and the middle roll has a CVC roll shape;

[0059] Shape control means: work roll bending, intermediate roll shifting and intermediate roll...

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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...

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Application Information

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IPC IPC(8): B21B37/28
Inventor 高雷郭立伟李书昌刘鹏刘维兆李建建陈丹
Owner BEIJING SHOUGANG AUTOMATION INFORMATION TECH
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