Converter steelmaking process cost control method based on ELM neural network and converter steelmaking process cost control system thereof

Abstract

The invention provides a converter steelmaking process cost control method based on an ELM neural network and a converter steelmaking process cost control system thereof. The method comprises the steps that control parameters influencing cost are selected according to the converter steelmaking process; a modeling sample set is constructed; a normalized sample set is acquired; a feedforward neural network is constructed; training modeling is performed on the feedforward neural network by using the ELM neural network so that neural network parameters are acquired; the model constructed through training of the ELM neural network is optimized by using a PSO algorithm so that the extremum of the constructed model is acquired, and the optimal control parameters are determined according to the extremum of the constructed model; and the minimal cost value of the converter steelmaking process is determined according to the comparison result of the optimal control parameter cost value and the minimum cost value of the modeling sample set. With application of the converter steelmaking process cost control method based on the ELM neural network and the converter steelmaking process cost control system thereof, 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, relates to a method and system for controlling the cost of a converter steelmaking process based on an ELM 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 ...

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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 ELM neural network, which can solve the problem of high cost of converter steelmaking

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