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Soft measurement method for billet temperature distribution in smelting and heating-furnace

A technology of temperature distribution and soft measurement, applied in the detection and control of the production process of the steel rolling industry, and the field of metallurgy, it can solve the problems that the temperature distribution cannot be directly measured, and it is difficult to realize the advanced control of the heating furnace and predict the rolling effect of the billet, so as to increase the output. , The effect of improving product quality and high soft measurement accuracy

Inactive Publication Date: 2009-08-19
ZHEJIANG UNIV
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Problems solved by technology

[0004] Aiming at the problems that the temperature distribution in the metallurgical heating furnace cannot be directly measured, so that it is difficult to realize the precise advanced control of the heating furnace and predict the rolling effect of the steel slab, the invention provides a soft measurement method for detecting the temperature distribution of the steel slab in the metallurgical heating furnace

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  • Soft measurement method for billet temperature distribution in smelting and heating-furnace
  • Soft measurement method for billet temperature distribution in smelting and heating-furnace
  • Soft measurement method for billet temperature distribution in smelting and heating-furnace

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Embodiment Construction

[0017] The technical solution details of the present invention will be described in detail one by one below, and the purpose and effect of the present invention will be more obvious.

[0018] The soft sensing method for detecting the temperature distribution of steel slabs in the metallurgical heating furnace of the present invention comprises the following steps:

[0019] (1) Select 30 production measurement parameters that have a direct impact on the temperature distribution of the billet as auxiliary variables of the soft sensor model to form a measurement parameter vector X m .

[0020] The 30 selected auxiliary variables for production measurement are: temperature t01 in the upper part of the preheating section, temperature t02 in the lower part of the preheating section, two temperatures t03 and t05 in the upper part of the heating section, two temperatures t04 and t06 in the lower part of the heating section, two temperatures in the upper part of the soaking section On...

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Abstract

The invention discloses a soft measurement method for detecting the temperature distribution of billet inside a metallurgy heating furnace. The method selects a plurality of key variables affecting the temperature distribution of billet inside the furnace to form a process detection variable set, applies partial least square technology based on multivariate statistics projection principle to establish a soft measurement model between the temperature distribution variable of billet of the metallurgy heating furnace and the process detection variable and determines the optimal pivot numbers through cross check technology. The method avoids complicated process mechanism analysis, has convenient field implementation and high soft measurement precision and is particularly applicable to such industrial occasions similar to the temperature distribution detection inside the metallurgy heating furnace with high dimension and very rich process data. The soft measurement method can be used for monitoring in real time or directing actual production, improve the product quality, increase the yield and realize the energy conservation and consumption reduction of the metallurgy heating furnace overall.

Description

technical field [0001] The invention relates to the detection and control field of metallurgy and steel rolling industrial production process, in particular to a soft measurement method for steel billet temperature distribution in a metallurgical heating furnace. Background technique [0002] The metallurgical heating furnace is one of the key equipment on the steel hot rolling production line. Its main function is to heat the steel billet in the furnace to the range required by the subsequent steel rolling process to ensure the normal rolling of the steel billet. Therefore, the temperature distribution of the billet in the furnace, especially the temperature of the billet surface and center at the exit of the furnace, is of great significance for realizing the closed-loop optimal control of the heating furnace and predicting the rolling effect of the billet. Key quality indicators. However, in actual industrial production so far, people cannot directly measure the temperat...

Claims

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Application Information

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IPC IPC(8): G01K13/10
Inventor 杜丽梁军
Owner ZHEJIANG UNIV
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