Online forecasting method for linear defects at edge of hot-rolled strip steel

A technology for linear defects and hot-rolled strip steel, which is applied in the field of intelligent online prediction of edge linear defects of hot-rolled strip steel, can solve problems such as the failure to perform online prediction of edge linear defects, and achieve the goal of improving the core competitiveness of products, The effect of fast execution speed and reduced clipping rate

Pending Publication Date: 2020-12-04
YANSHAN UNIV
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Problems solved by technology

In addition, although various solutions have been proposed at home and abroad, the optimization of equipment or process p

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  • Online forecasting method for linear defects at edge of hot-rolled strip steel
  • Online forecasting method for linear defects at edge of hot-rolled strip steel
  • Online forecasting method for linear defects at edge of hot-rolled strip steel

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[0054] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0055] like figure 1 As shown, it is a flow chart of an intelligent online prediction method for linear defects at the edge of a hot-rolled strip steel of the present invention, which specifically includes the following steps:

[0056] S1. Collect hot-rolled strip production data as sample data and preprocess the sample data:

[0057] S11. Collect on-site actual data and establish an original data set, which specifically includes: furnace temperature T f , the temperature of the preheating section T p , OnePlus temperature T 1 , two addition temperature T 2 , three plus temperature T 3 , Baking temperature T o , R2 feedback temperature T R , warm-up time S R , OnePlus Time S 1 , two plus time S 2 , three plus time S 3 , soaking time S a As well as the steel type m and the corresponding occurrence of linear defects O, where 0 represents the occurrence of line...

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Abstract

The invention discloses an online forecasting method for linear defects at the edge of hot-rolled strip steel. The online forecasting method mainly comprises the following steps: 1, collecting production data of the hot-rolled strip steel as sample data, and preprocessing the sample data; 2, according to the GADNN neural network, establishing a hot rolled strip steel edge linear defect predictionmodel; 3, training and verifying the prediction model of the linear defects at the edge of the hot-rolled strip steel; and 4, online forecasting and analysis of the GADNN neural network hot-rolled strip steel edge linear defect forecasting model. The method has the characteristics of high prediction precision, high response speed, real-time online participation in control and the like, and has important significance for controlling the surface quality of the hot-rolled strip steel.

Description

technical field [0001] The invention belongs to the field of surface quality control of hot-rolled steel strips in metallurgical rolling technology, and in particular relates to an intelligent online prediction method for linear defects at the edges of hot-rolled steel strips. Background technique [0002] With the rapid development of my country's industry, the demand for high-quality hot-rolled strip steel is increasing, and the surface quality is one of the important indicators that affect the quality of hot-rolled strip steel products. Edge linear defect is a kind of surface quality defect of hot-rolled strip steel, which is manifested as warped skin or black line according to the severity. This defect not only seriously affects the yield, but may also affect the production process of the downstream processes of hot rolling (such as the acid rolling unit). [0003] At present, there are some relevant literatures on the control and analysis of linear defects in hot-rolle...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/04G06N3/04G06N3/08
CPCG06Q10/04G06Q50/04G06N3/084G06N3/045Y02P90/30
Inventor 王东城段伯伟徐扬欢汪永梅张亚林
Owner YANSHAN UNIV
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