A coal blending cost optimization method, equipment and storage equipment

A cost optimization and coal blending technology, applied in data processing applications, forecasting, instruments, 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 Effect

Active Publication Date: 2021-11-30
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 optimize the cost of coal blending is the key issue; There are many constraints in the coal cost optimization process, it is easy to fall into local optimum, and it is difficult to obtain the optimal cost and coal blending plan

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  • A coal blending cost optimization method, equipment and storage equipment
  • A coal blending cost optimization method, equipment and storage equipment
  • A coal blending cost optimization method, equipment and storage equipment

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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, equipment and storage equipment. A coke quality prediction model is established by using gray relational analysis method and SVM, and conventional ERP data, experimental data and lithofacies data are registered by using a dynamic time series matching method, and finally Establish a coal blending cost optimization model, and use the method of elite learning chaotic particle swarm to solve the method of optimizing coal blending cost and the optimal coal blending plan, so as to reduce the cost of coal blending and make full use of coal blending materials; a Coal blending cost optimization equipment and storage equipment are used to realize a coal blending cost optimization method. The beneficial effects of the present invention are: the technical proposal provided by the present invention can improve the accuracy, stability and calculation precision of the coal blending cost optimization method, ensure that the coke quality meets the requirements of the enterprise, and at the same time reduce the coal blending cost to the greatest extent.

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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Patent Type & Authority Patents(China)
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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