Sinter quality prediction method based on process parameters

A technology for quality prediction and process parameters, applied in prediction, data processing applications, instruments, etc., can solve problems such as single process parameters, local infinitesimal generalization, and failure to consider the influence of the quality of sinter physical performance indicators parameters, etc. The effect of high prediction accuracy and strong generalization ability

Inactive Publication Date: 2019-07-30
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] It can be seen from the above two documents that although the neural network has a strong nonlinear fitting ability and can map any complex nonlinear relationship, it is easy to fall into local infinitesimal and poor generalization.
Moreover, in terms of sinter chemical composition prediction, some do not consider the influence of sinter process parameters on sinter quality, some consider single process parameters, and some do not consider the influence of sinter physical performance index parameters on its quality. According to the actual sintering process, it is more comprehensive to reflect the influence of optimization and adjustment of sintering process parameters on quality parameters

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  • Sinter quality prediction method based on process parameters
  • Sinter quality prediction method based on process parameters
  • Sinter quality prediction method based on process parameters

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Embodiment 1

[0041] A sinter quality prediction method based on process parameters. The steps of the sinter quality prediction method described in this embodiment are:

[0042] S1. Determine the parameters of the sintering process: the proportion of iron-containing raw materials; the amount of quicklime added; the amount of limestone added; the amount of dolomite added; ; Sintering machine speed; material layer thickness; sintering end position; waste gas temperature.

[0043] Determine the sinter quality parameters are: TFe content; FeO content; basicity; drum strength.

[0044]S2. Sampling recent production data of the 15 sintering process parameters and 4 sinter quality parameters to establish a recent production data sample library. In this embodiment, the specific process of establishing the recent production data sample database is as follows: Obtain the historical production data of the sintering workshop of a large domestic steel plant in the past year, the production data collec...

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Abstract

The invention relates to a sinter quality prediction method based on process parameters. According to the technical scheme, determining sinter quality parameters and sintering process parameters; establishing a historical production data sample library of sintering process parameters and sinter quality parameters, and performing [0, 1] normalization processing; by taking the normalized sintering process parameters as input variables and the sinter quality parameters as output variables, establishing a sinter quality prediction model based on the process parameters by adopting a BP neural network mapping nonlinear function; and taking the sintering process parameters collected in real time as input variables and inputting into the sinter quality prediction model,wherein the output variables are the predicted sinter quality parameters. The method can predict the sinter quality parameters in advance, and has the characteristics of high prediction precision and high generalization capability.

Description

technical field [0001] The invention belongs to the technical field of sinter quality prediction. In particular, it relates to a method for predicting the quality of sintered ore based on process parameters. Background technique [0002] In my country, sinter accounts for more than 75% of the blast furnace raw materials, and is the main component of a reasonable blast furnace charge structure. The stability and optimization of its quality has an important impact on the technical and economic indicators of the entire ironmaking process. Due to the wide source of sinter raw materials, many varieties, and complex components, and the sintering process is a complex dynamic system with a large time delay, nonlinearity, and strong coupling, there is a large lag in the detection of sinter quality and the adjustment of process parameters. The inspection data is not completely consistent with the current process parameters, and cannot be used to guide sintering production in real tim...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04
CPCG06Q10/04G06Q10/06395G06Q50/04Y02P90/30
Inventor 易正明邵慧君邓植丹陈卓
Owner WUHAN UNIV OF SCI & TECH
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