On-line pre-warning method for strip elongation and leveling process status of continuous annealing unit

Abstract

The invention relates to an early warming method of a process state of a continuous annealing planisher, in particular relates to an on-line early warming method of an elongation rate and a flattening process state of strip steel of a continuous annealing unit. The method comprises the following steps: step 1, extracting and associating data; step 2, normalizing; step 3, analyzing influence; step 4, calculating a factor score coefficient; and step 5, setting a control limit so as to achieve on-line early warming. In the method, a few of hidden variables (comprehensive factors) are used so as to describe interior dependency relationships among multiple variables and explain correlativity among original variables, wherein the comprehensive factors are common influence factors which can not be directly observed and objectively exit among the variables and reflect the main information of the original variables; and the simplifying and monitoring problems of multiple variables in continuous annealing production are treated by adopting a factor analysis method.

Description

technical field [0001] The invention relates to an early warning method for the process state of a continuous annealing machine, in particular to an online early warning method for the strip elongation of the continuous annealing unit. Background technique [0002] On the continuous annealing production line, the steel strip passes through various furnace sections, such as preheating, heating, soaking, cooling, reheating, final cooling, etc., and its internal structure undergoes several stages such as grain recovery, recrystallization, and carbide precipitation. The microstructure change process makes the material structure recrystallize, thereby improving the intrinsic quality of the strip. [0003] The previous diagnosis and monitoring models mostly focused on the equipment status. However, for the performance indicators of the product, the more relevant elements are the process parameters, and it is far from enough to only care about the equipment status. The variable in...

AI Technical Summary

Problems solved by technology

In the past, people found in the one-by-one monitoring of the above-mentioned relevant quantities that the defect of elongation mismatch may still occur without the process quantity exceeding the standard, indicating that the traditional method cannot effectively judge the process status of the tempering machine

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