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Method for determining subordinating degree function of blast furnace gas system model based on multi-target density clustering

A technology of membership function and blast furnace gas, which is applied in the field of determination of membership function in fuzzy modeling of blast furnace gas system

Active Publication Date: 2017-06-13
DALIAN UNIV OF TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is the determination of the membership function in the fuzzy modeling process of the blast furnace gas system in the existing metallurgical enterprises

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  • Method for determining subordinating degree function of blast furnace gas system model based on multi-target density clustering
  • Method for determining subordinating degree function of blast furnace gas system model based on multi-target density clustering
  • Method for determining subordinating degree function of blast furnace gas system model based on multi-target density clustering

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Embodiment Construction

[0033] In order to better understand the technical solution of the present invention, taking the blast furnace gas system of a steel company with a high level of automation in China as an example, the implementation of the present invention will be further described. The blast furnace gas system of the company is mainly composed of gas generation source and gas Consuming users, gas tanks, emission towers and gas delivery system. Among them, the source of blast furnace gas is 4 blast furnaces. The gas consumption users mainly include power plants, coke ovens, hot-rolling heating furnaces, cold-rolling heat treatment, chemical production, synthesis, low-pressure boilers, etc. The gas distribution system is composed of pipe network, mixing station, pressurizing station, etc. Due to the influence of the production process, the amount of blast furnace gas generated often fluctuates, with a drop of up to 500,000 m 3 / h, so that gas consumption and cabinet storage also fluctuate. Due...

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Abstract

The invention provides a method for determining a subordinating degree function of a blast furnace gas system model based on multi-target density clustering, and belongs to the fields of fuzzy systems and fuzzy decisions. The method comprises the following steps: introducing a multi-target optimizing method in a density clustering algorithm by using the existing historical data on sites in a metallurgy industry, comprehensively considering fuzzy model precision, model complexity and model explainability, and determining an optimal clustering parameter so as to acquire reasonable clustering number and clustering center; and designing corresponding subordinating degree function shapes and parameters according to the industrial data characteristic and clustering result so as to determine the subordinating degree function according with the data distribution characteristic. By the method, the subordinating degree function of each variable of the fuzzy model can be determined by completely utilizing the existing blast furnace gas historical data, so that an effective blast furnace gas system fuzzy model is established.

Description

Technical field [0001] The invention belongs to the field of fuzzy systems and fuzzy decision-making, relates to cluster analysis, multi-objective optimization and fuzzy modeling theory, and is a method for determining membership function of blast furnace gas system fuzzy modeling based on multi-object density clustering. The invention utilizes the existing historical data of the metallurgical enterprise site, introduces a multi-objective optimization method in the density clustering algorithm, comprehensively considers the accuracy of the fuzzy model, the complexity of the model and the interpretability of the model, determines the best clustering parameters, and then obtains Reasonable number of clusters and cluster centers; then design the corresponding membership function shape and parameters according to the industrial data characteristics and clustering results, so as to determine the membership function that conforms to the data distribution characteristics. This method p...

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Application Information

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IPC IPC(8): G06F17/50G06F17/17G06K9/62G06N3/12
CPCG06F17/17G06N3/126G06F2111/06G06F30/20G06F18/23211
Inventor 杨淑慧吕政王霖青赵珺刘颖王伟
Owner DALIAN UNIV OF TECH