Method and system for predicting granularity of sintering mixture
A technology of sintering mixture and prediction method, which is applied in the field of metallurgical sintering, and can solve problems such as untimely discovery, labor-consuming, and fuzzy judgment results
Pending Publication Date: 2022-01-21
HUNAN CHANGTIAN AUTOMATION ENG CO LTD +1
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Problems solved by technology
However, this method of relying on manual observation has the problems of untimely discovery, labor-intensive, fuzzy judgment results or lagging analysis.
Method used
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[0051] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.
[0052] see figure 2 , is a flow chart of a method for predicting the particle size of sintered mixture provided in the embodiment of the present application.
[0053] The first aspect of the embodiment of the present application provides a method for predicting the particle size of sintered mixture, and the method for predicting the particle size of sintered mixture includes:
[0054] S101. Obtain the ratio of each material in...
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The invention relates to the field of metallurgy sintering, and provides a method and system for predicting the granularity of a sintering mixture, and the method comprises the steps: obtaining the ratio of each material of a mixture and the granulation parameters of a granulator, inputting the ratio of each material of the mixture and the granulation parameters of the granulator into a pre-established ANN neural network model, generating an initial predicted value of each granularity distribution proportion of the mixture, calculating a mean square error corresponding to the initial predicted value, and if the mean square error is within a preset value interval, outputting the predicted value of each granularity distribution proportion of the mixture. According to the invention, under the condition that the parameters of the granulator, the raw material conditions and the ratio of the batching process are obtained, accurate prediction of the granularity distribution effect is realized.
Description
technical field [0001] The present application relates to the field of metallurgical sintering, in particular to a method and system for predicting the particle size of a sintering mixture. Background technique [0002] Sintering is the basic link in the iron and steel industry, providing high-quality raw materials for ironmaking. The sintering process is to roast the iron-containing raw materials at a high temperature (≤1400°C) after batching, mixing, and granulation on the sintering machine, so that a series of physical and chemical changes occur in the material, and after crushing, a porous block with a certain strength is formed. The process of sintering finished ore. Among them, the mixture can be formed into non-powder materials with certain particles and shapes after passing through the granulator, which not only ensures good air permeability and energy saving when roasted on the sintering machine, but also helps to improve the output and quality of sintering ore. ...
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IPC IPC(8): G06F30/27G06F17/18G16C20/70G16C60/00G06N3/04G06N3/08C22B1/24
CPCG06F30/27G06F17/18G16C60/00G16C20/70G06N3/04G06N3/08C22B1/2406
Inventor 邱立运牛琦
Owner HUNAN CHANGTIAN AUTOMATION ENG CO LTD