Coal blending cost optimization method and device, and storage device

A technology of cost optimization and coal blending, applied in the direction of instruments, character and pattern recognition, calculation models, etc., can solve problems such as difficulty in obtaining optimal cost and coal blending schemes, and numerous constraints, so as to reduce coal blending costs and improve accuracy sexual effect

Active Publication Date: 2018-11-16
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

Therefore, how to effectively use the lithofacies data in coal petrology theory and traditional ERP data, on the basis of small coke oven experimental data, accurately determine the proportion of each single coal, and optim

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  • Coal blending cost optimization method and device, and storage device
  • Coal blending cost optimization method and device, and storage device
  • Coal blending cost optimization method and device, and storage device

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Embodiment Construction

[0046] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0047] Embodiments of the present invention provide a coal blending cost optimization method, equipment and storage equipment.

[0048] Please refer to figure 1 , figure 1 It is a flowchart of a coal blending cost optimization method in an embodiment of the present invention, specifically including the following steps:

[0049] S101: by ash content A d , Volatile V daf , sulfur S td , cohesion index G, colloidal layer index X, colloidal layer thickness Y and maximum vitrinite reflectance R max As input, a linear regression model is used to establish a coal quality prediction model;

[0050] S102: According to the blending coal quality prediction model, determine the factors that affect the coke quality by using th...

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Abstract

The present invention provides a coal blending cost optimization method and device, and a storage device. A gray relative analysis method and an SVM are employed to establish a coke quality predictionmodel, a dynamic timing sequence matching method is employed to register routine ERP data, experiment data and lithofacies data, establishing a coal blending cost optimization model, and employing anelite learning chaotic particle swarm optimization method to solve a method for optimization of coal blending cost and an optimal coal blending scheme so as to achieve the purpose of reduction of thecoal blending cost and full utilization of the coal blending materials. The coal blending cost optimization device, and the storage device are used to achieve a coal blending cost optimization method. The coal blending cost optimization method and device, and the storage device can improve the accuracy, the stability and the calculation precision of the coal blending cost optimization method, andmaximally reduce the coal blending cost while ensuring that coke quality meets the enterprise requirements.

Description

technical field [0001] The invention relates to the field of coal blending and coking, in particular to a coal blending cost optimization method, equipment and storage equipment. Background technique [0002] With the large-scale blast furnace and the development of oxygen-enriched pulverized coal injection technology, the coke quality requirements for blast furnace production are getting higher and higher, and it is difficult for most single types of coal to produce high-quality metallurgical coke with high mechanical strength in the coke oven. To make reasonable use of coal resources, save high-quality coking coal, and produce coke that meets the quality requirements, coal blending coking technology must be adopted. [0003] The theory of coal petrology reveals the coking mechanism of coal from the perspective of microscopic components, and then reflects the influence of coal materials with different components and degrees of coalification on coking, which can effectively ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N3/00G06K9/62
CPCG06N3/006G06Q10/04G06F18/2411
Inventor 曹卫华李泽中吴敏陈略峰
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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