Steel enterprise blast furnace by-product gas emergence size prediction method

A technology of by-product gas and prediction methods, applied in the information field, can solve problems such as the decline of prediction accuracy, the reduction of model generalization ability, the influence of BP neural network model, etc., and achieve the effect of improving prediction accuracy

Inactive Publication Date: 2015-08-26
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, the recognition rate of manual judgment cannot be guaranteed, and false detections are prone to occur, which has a great impact on the establishment of subsequent BP neural network models.
This patent uses the method of BP neural network to e

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  • Steel enterprise blast furnace by-product gas emergence size prediction method
  • Steel enterprise blast furnace by-product gas emergence size prediction method
  • Steel enterprise blast furnace by-product gas emergence size prediction method

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Embodiment Construction

[0045] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0046] Such as figure 1 As shown, the embodiment of the present invention provides a method for predicting the amount of by-product gas from a blast furnace in an iron and steel enterprise, which includes the following steps:

[0047] S1. Read blast furnace gas production data from the metallurgical enterprise site. The data read should be a piece of production data selected at random.

[0048] S2. Analysis of abnormal points in gas data. After reading the metallurgical gas data, the abnormal points in the data sequence should be detected. The specific process is as follows:

[0049] (1) First, use the five-number summation method to process th...

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Abstract

The invention discloses a steel enterprise blast furnace by-product gas emergence size prediction method comprising the following steps: reading emergence size data of blast furnace gas from a real time database of a steel enterprise field; preprocessing a collected original data sequence, and detecting an abnormal value in the blast furnace gas data sequence; inputting the preprocessed data sequence into a set least square support vector machine model for prediction, using an improved particle swarm algorithm to optimize a nucleus width parameter and a punishment factor parameter of the least square support vector machine, thus improving prediction precision. The method is accurate, can fast detect abnormal data in the blast furnace gas emergence size, and can replace the abnormal data in the original data; the least square support vector prediction model based on minimum structure risk is set, and optimized by the improved particle swarm algorithm, thus improving prediction precision of the model, and a prediction result can provide basis for reasonable utilization of the gas resource.

Description

Technical field [0001] The invention relates to the field of information technology, in particular to a method for predicting the amount of by-product gas generated from a blast furnace in an iron and steel enterprise. Background technique [0002] The production process of steel can be divided into: coking, ironmaking, steelmaking, steel rolling and other links. The energy required for these production links is mainly provided by fossil fuels such as coke. When fuel is consumed, a variety of combustible gases are generated, that is, coal gas as a by-product of iron and steel enterprises. The generated by-product gas will be collected in a centralized manner, and then piped to various production workshops to act as a combustion aid for smelting. According to statistics, 40% of the primary energy consumed in iron and steel production is converted into by-product gas, and among all kinds of by-product gas, the output of blast furnace gas accounts for about 45% of the total by-prod...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/04
CPCY02P90/30
Inventor 王红君白鹏岳有军赵辉
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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