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Cost control method and system of converter steelmaking process based on grnn

A technology of converter steelmaking and cost control, which is applied in the field of steelmaking, can solve the problems of high cost of converter steelmaking and achieve the effect of solving high cost

Active Publication Date: 2019-01-25
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In view of the above problems, the purpose of the present invention is to provide a GRNN-based converter steelmaking process cost control method and system, which can solve the problem of high cost of converter steelmaking

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  • Cost control method and system of converter steelmaking process based on grnn
  • Cost control method and system of converter steelmaking process based on grnn
  • Cost control method and system of converter steelmaking process based on grnn

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Embodiment Construction

[0032] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details.

[0033] Aiming at the aforementioned problem of high cost in the iron and steel industry, the present invention proposes a GRNN-based converter steelmaking process cost control method and system, wherein, the present invention proposes to use the production operating parameters in the smelting process as The network method excavates the potential law between raw material formula, operating parameters and steelmaking cost; and uses this law to obtain the operating parameters at the lowest cost through intelligent optimization algorithms, and provides guidance for the actual production of enterprises.

[0034] Among them, it should be noted that the GRNN model is a kind of radial basis neural network, wh...

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Abstract

The invention provides a converter steelmaking process cost control method and system based on a GRNN (Generalized Regression Neural Network). The method comprises the steps of: selecting a control parameter influencing the cost according to a converter steelmaking process; constructing a modeling sample set; acquiring a normalized sample set; constructing the GRNN according to the normalized sample set; modeling the data obtained by a converter steelmaking simulation experiment using the GRNN, and obtaining an optimal expansion factor by adopting a method of traversing values; optimizing the model constructed via the GRNN using a genetic algorithm to obtain the most value of the constructed model, and determining an optimal control parameter according to the most value of the constructed model; and determining the minimum cost value of the converter steelmaking process according to the comparison result of the cost value of the optimal control parameter and the minimum cost value in the modeling sample set. The problem of high converter steelmaking cost can be solved by using the method and the system.

Description

technical field [0001] The present invention relates to the technical field of steelmaking, and more specifically, relates to a GRNN-based converter steelmaking process cost control method and system. Background technique [0002] At present, the iron and steel industry has entered a trough, and the industry's profits have been infinitely compressed. Only by reducing its own costs can it seek development. Therefore, reducing costs and increasing efficiency in the steel industry is the relentless pursuit of all steel mills. However, the high temperature, high risk and high cost of the iron and steel production process cannot be carried out on a large scale. [0003] Among them, the experimental basic oxygen furnace steelmaking method is a steelmaking process in which molten iron is smelted into molten steel. By supplying oxygen to the molten pool, an oxidation reaction occurs to reduce the carbon content of molten steel in the molten pool. This steelmaking method is also ca...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 李太福耿迅张倩影辜小花唐海红王坎
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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