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Process parameter optimizing method based on process rules and big data analysis technology

A technology of process parameter optimization and analysis technology, applied in data processing applications, electrical digital data processing, design optimization/simulation, etc., can solve problems such as insufficient high-end supply capacity, poor product shape and dimension stability, and low labor productivity, etc., to achieve automation The effect of high degree, strong robustness and simple principle of the method

Inactive Publication Date: 2018-10-16
TONGJI UNIV
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Problems solved by technology

At present, my country's flat material preparation is still in the stage of combining manual setting based on experience and intelligent optimization control of a single process. The integrated control of the whole process and the coordinated optimization of each level have not been formed. Poor performance, insufficient high-end supply capacity, low labor productivity and other problems, personalized customization under the conditions of large-scale, centralized and continuous production urgently needs to be promoted in an all-round way

Method used

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  • Process parameter optimizing method based on process rules and big data analysis technology
  • Process parameter optimizing method based on process rules and big data analysis technology

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Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] Such as figure 1 As shown, the construction of the flat material process rule set specifically includes the following steps:

[0021] 1. Construct the flat material preparation process index database. According to the historically accumulated data sets of the preparation process, a comprehensive production index D (slab surface quality, slab internal quality) and a feedback-adjusted process index C (superheat, negative slip time, liquid level fluctuation, carbon content, Mn / s) are constructed. Ratio, etc.) relational data table. The i-th group of data is used as the set value, the k-th group of data is used as the new target value, and the difference between the two target values ​​△Y=Y k -Y i It is regarded as the change of the expected output, so that the variation of the comprehensive production index expectation and the process...

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Abstract

The invention discloses a whole-process product quality optimization method based on process riles and a big data analysis technology. The method comprises the steps of flat product preparation process indicator base construction decision table construction, decision table discretization processing, decision table attribute reduction and process compensate rule generation, rule query and feedbackcompensation, and rule updating. The method has the advantages of simple principle, low error rate, strong extendibility, strong robustness and the like.

Description

technical field [0001] The invention belongs to the technical field of full-process intelligent preparation, and specifically relates to a process parameter optimization method based on process rules and big data analysis. Background technique [0002] The flat material preparation process is an extremely complex industrial process, involving large-scale and complex industrial processes with multiple processes and multiple control levels such as converters, continuous casting, hot rolling, cooling, cold rolling, and annealing. Its products include " It is known as "general-purpose steel" and is an important support for the development of the national economy. At present, my country's flat material preparation is still in the stage of combining manual setting based on experience and intelligent optimization control of a single process. The integrated control of the whole process and the coordinated optimization of each level have not been formed. Due to problems such as poor ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/06G06Q50/02
CPCG06Q10/0637G06Q50/02G06F30/20
Inventor 柳先辉陈宇飞章浩天赵卫东
Owner TONGJI UNIV