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Long-term interval prediction method for iron and steel industry blast furnace gas on the basis of information granularity optimum allocation

A technology of blast furnace gas and iron and steel industry, applied in the field of information

Active Publication Date: 2017-05-31
DALIAN UNIV OF TECH +1
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Problems solved by technology

[0005] The invention mainly solves the problem of long-term interval prediction of blast furnace gas in the iron and steel industry

Method used

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  • Long-term interval prediction method for iron and steel industry blast furnace gas on the basis of information granularity optimum allocation
  • Long-term interval prediction method for iron and steel industry blast furnace gas on the basis of information granularity optimum allocation
  • Long-term interval prediction method for iron and steel industry blast furnace gas on the basis of information granularity optimum allocation

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Embodiment Construction

[0026] In order to better understand the technical solution and specific implementation of the present invention, the blast furnace gas system of Baoshan Iron and Steel Works, which has a relatively high level of informatization in the domestic iron and steel industry, will be further described below as an example. Depend on figure 1 It can be seen from the schematic diagram of Baosteel’s blast furnace gas pipeline network that the system contains four converters as generating units, hot blast stoves, etc. constitute consumption units, low-pressure boilers, power plants, etc. are adjustable units of the pipeline network, and two gas cabinets It is connected to store excess gas at the end of the pipeline network, which acts as a buffer for the balance of the pipeline network. In addition, there are gas mixing stations, gas pressurization stations, etc. as transmission and distribution systems. Because the actual configuration of the pipeline network is complex, the laying lines...

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Abstract

The invention provides a long-term interval prediction method for iron and steel industry blast furnace gas on the basis of information granularity optimum allocation. The method comprises the following steps that: on the basis of real industrial production data, after data is subjected to necessary preprocessing, firstly, in a lateral direction, i.e., on a time axis, forming data particles which comprise a plurality of data points on the basis of the stage characteristics of the energy production and the consumption of the iron and steel industry; then, considering subsequent fuzzy clustering analysis requirements, utilizing a time warping distance to normalize non-isometric data particles to be isometric; after fuzzy clustering is applied to obtain a clustering center, extending the clustering center into an interval value in a longitudinal direction, and obtaining an initial interval prediction result by virtue of a fuzzy modeling method; and finally, solving an optimal model based on an information granularity optimum allocation theory to obtain a long-term interval prediction result to assist in guiding field energy dispatching work. The method also can be popularized and applied in other energy media systems of the iron and steel industry.

Description

technical field [0001] The invention belongs to the field of information technology, relates to technologies such as granularity calculation, dynamic time warping, and fuzzy system modeling, and is a long-term interval prediction method for blast furnace gas in the iron and steel industry based on information granularity optimization. Background technique [0002] The metallurgical industry is an industry with high energy consumption and high emissions. In addition to primary energy such as oxygen and nitrogen, how to rationally utilize the by-product gas generated during the iron and steel production process, that is, secondary energy, is currently the focus of the industry. Blast furnace gas is one of the important secondary energy sources in the steel production process. It is produced along with the blast furnace ironmaking process and is widely used in hot blast stove combustion, coke oven coking and low-pressure boilers. In daily production, the amount of blast furnac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04
CPCG06Q10/04G06Q10/06312
Inventor 韩中洋赵珺王霖青盛春阳王伟冯为民汪晶
Owner DALIAN UNIV OF TECH
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