UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control method and system

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

Active Publication Date: 2016-10-12
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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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 method and system for controlling the cost of converter steelmaking process based on UKF neural network, which can solve the problem of high cost of converter steelmaking

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  • UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control method and system
  • UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control method and system
  • UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control method and system

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Embodiment Construction

[0035] 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.

[0036] Aiming at the aforementioned problem of high cost in the current iron and steel industry, the present invention proposes a converter steelmaking process cost control method and system based on the UKF neural network. The UKF neural 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, providing guidance for the actual production of the enterprise.

[0037] Among them, it should be noted that UKF (Unscented Kalman Filter), the Chinese interpretation is lossless Kalman filter, unscented Kalman filter or dearomatic Kalman...

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Abstract

The present invention provides a UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control method and a UKF (Unscented Kalman Filter) neural network-based converter steelmaking process cost control system. The method includes the following steps that: control parameters which influence cost are selected; a modeling sample set is constructed; a normalized sample set is obtained; a feedforward neural network is constructed; a UKF algorithm is adopted to carry out training and modeling on the feedforward neural network, so that neural network parameters can be obtained; a PSO algorithm is adopted to optimize a model constructed by using the UKF algorithm, so that the maximum value and minimum value of the constructed model can be obtained, and an optimal control parameter can be determined according to the maximum value and minimum value of the constructed model; and the minimum cost value of converter steelmaking process is determined according to the result of the comparison of an optimal control parameter cost value and the minimum cost value in the modeling sample set. With the method and system of the invention adopted, the problem of high cost of converter steelmaking can be solved.

Description

technical field [0001] The invention relates to the technical field of steelmaking, and more specifically, to a method and system for cost control of converter steelmaking process based on UKF neural network. 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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 唐海红辜小花李太福耿讯张倩影王坎
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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