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Product quality grading evaluation standard design method and system

An evaluation standard and product quality technology, applied in the field of product quality classification evaluation standard design method and system, can solve problems such as difficult to directly and accurately reflect the quality index level of process parameters in the whole process

Pending Publication Date: 2021-01-19
UNIV OF SCI & TECH BEIJING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention provides a product quality classification evaluation standard design method and system to solve the technical problem that it is difficult to directly and accurately reflect the quality index level corresponding to the process parameters of the whole process in the prior art

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  • Product quality grading evaluation standard design method and system
  • Product quality grading evaluation standard design method and system
  • Product quality grading evaluation standard design method and system

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no. 1 example

[0063] This embodiment provides a product quality classification evaluation standard design method, which is mainly used for product quality classification evaluation management in the steel manufacturing process. This embodiment defines the column vector composed of feature subsets after feature selection of production process parameters as X, Quality indicators of steel products: the column vector of lower yield strength, tensile strength and elongation is Y, and the mechanical properties prediction model of cold-rolled products is constructed as Y=f(X), where f is the trained MSVR model or other A multi-output nonlinear prediction model that satisfies prediction accuracy. Since the upstream process parameters of iron and steel products are genetically influenced by multiple processes to the final product quality, and the process parameters have different scales, it is impossible to evaluate the influence of the process parameters on the final product quality by directly clus...

no. 2 example

[0114] This embodiment provides a product quality classification evaluation standard design system, and the product quality classification evaluation standard design system includes the following modules:

[0115] The data set acquisition module is used to obtain the data set composed of the whole process process parameters of the product to be evaluated and the corresponding mechanical performance indicators;

[0116] A feature subset and mechanical property prediction model building module is used to screen the process parameters in the data set based on the mutual information of each process parameter and the mechanical property index in the data set, and construct the feature subset and mechanical property prediction model; wherein, the input of the mechanical performance prediction model is a vector composed of process parameters, and the output is a vector composed of mechanical performance indicators;

[0117] The process parameter sensitivity index vector acquisition m...

no. 3 example

[0123] This embodiment provides an electronic device, which includes a processor and a memory; wherein, at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor to implement the method of the first embodiment.

[0124] The electronic device may vary greatly due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein the memory stores at least one instruction, so The instructions described above are loaded by the processor and perform the following steps:

[0125] S1, obtaining a data set consisting of process parameters of the whole process of the product to be evaluated and corresponding mechanical performance indicators;

[0126] S2, based on the mutual information of each process parameter and the mechanical performance index in the data set, screen the process parameters in the data set, and construct a feature subset and a mech...

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Abstract

The invention discloses a product quality grading evaluation standard design method and system. The method comprises the steps of obtaining a data set composed of whole-process technological parameters and corresponding mechanical performance indexes; screening the process parameters based on the mutual information of the process parameters and the mechanical performance indexes, and constructinga feature subset and a mechanical performance prediction model; carrying out multi-output sensitivity analysis on the mechanical property prediction model to obtain estimation of sensitivity indexes of all process parameters in the feature subset, and obtaining a vector omega formed by the sensitivity indexes of all the process parameters; updating a column vector X formed by the feature subsets into omega X; and performing spectral clustering on the sample set corresponding to the omega X to divide sample categories, and establishing a corresponding relationship between the sample categoriesand a final quality index narrow window for different sample categories to form a corresponding quality grading evaluation standard. The quality index range corresponding to various process parameterscan be simulated in advance based on actual production history big data, so that the quality performance of products can be conveniently and quantitatively managed and controlled by iron and steel enterprises.

Description

technical field [0001] The invention relates to the technical field of quality control of iron and steel manufacturing, in particular to a method and system for designing a product quality grading evaluation standard. Background technique [0002] The production process of iron and steel products is a complex multi-stage sequential processing process. Under the action of information flow and energy flow, raw materials form cold-rolled products through physical, chemical changes and phase transformations in multiple processes. Multiple stages such as continuous casting, hot rolling and cold rolling. This manufacturing process cannot be divided, several parameters of each process affect the quality of the final product to varying degrees, and there are genetic characteristics of quality among multiple processes. With the changes in the market supply and demand situation, the customized demand of customers for the quality of steel products has become the mainstream trend. Due...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04G06K9/62
CPCG06Q10/06395G06Q50/04G06F18/23213Y02P90/30
Inventor 吕志民史恩可
Owner UNIV OF SCI & TECH BEIJING
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