Online prediction method and system for yield and consumption of metallurgical byproduct gas

A technology of by-product gas and prediction method, which is applied in the direction of prediction, manufacturing computing system, neural learning method, etc., can solve the problems of large lag, low prediction accuracy, and inability to predict online, and achieve low lag, high prediction accuracy, Conducive to the effect of intelligent management and control

Pending Publication Date: 2022-06-03
NORTHEASTERN UNIV
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Problems solved by technology

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an online prediction method and system for the production and consumption of metallurgical by-product gas, which solves the technical problems of low prediction accuracy, large hysteresis, and inability to predict online

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  • Online prediction method and system for yield and consumption of metallurgical byproduct gas
  • Online prediction method and system for yield and consumption of metallurgical byproduct gas
  • Online prediction method and system for yield and consumption of metallurgical byproduct gas

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[0052] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below with reference to the accompanying drawings and through specific embodiments. It should be understood that the specific embodiments described below are only used to explain the related invention, rather than limit the invention. In addition, it should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other under the condition of no conflict; for the convenience of description, only the parts related to the invention are shown in the drawings.

[0053] The prediction accuracy of gas production and consumption is affected by many links, including the determination of equipment operating status, the processing of sample data used for prediction, and the establishment of prediction models. The processing method of each link will affect the prediction accuracy of gas product...

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Abstract

The invention relates to an online prediction method and system for the yield and consumption of metallurgical byproduct coal gas, and the method comprises the steps: collecting the coal gas yield and consumption in operation parameters of equipment in an operation state in advance, carrying out the data preprocessing of the coal gas yield and consumption, and obtaining an equipment characteristic curve in the operation state; calculating the relevance weight of the process parameters and the gas yield and consumption and the reading time interval of each operation parameter; establishing a prediction model for the gas production and consumption of each device in each operation state; according to the prediction model, operation parameters of each device in each operation state are calculated, and a basic prediction curve of the gas yield and consumption is obtained; and combining the basic prediction curve with the corresponding equipment characteristic curve in the same operation state to obtain a prediction result of the gas yield and consumption. The method has the beneficial effects that the prediction hysteresis is low, the calculated amount is small, the prediction precision is high, the reasonable application of the whole-flow coal gas is realized, the diffusion rate of the coal gas is reduced, and the intelligent management and control of a coal gas system are promoted.

Description

technical field [0001] The invention relates to the technical field of coal gas prediction, in particular to an on-line prediction method and system for the production and consumption of metallurgical by-product coal gas. Background technique [0002] Blast furnace gas, coke oven gas and converter gas are by-product gases in the iron and steel production process. Due to the complex production process and changing operating conditions, online prediction of gas production and consumption is extremely difficult, which brings difficulties to the efficient utilization of gas, resulting in a high gas emission rate. Therefore, accurate online prediction of by-product gas production and consumption is conducive to rational utilization of by-product gas, reducing gas emission rate, and effectively reducing the imbalance between gas supply and demand in the short term. [0003] The gas production and consumption prediction technology in the prior art has the defects of low prediction...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/08G06Q50/02
CPCG06Q10/04G06N3/08G06Q50/02Y02P90/30
Inventor 孙文强刘书含
Owner NORTHEASTERN UNIV
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