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A Design and Type Selection Method of Steel Ball Coal Mill Based on Genetic Optimization Algorithm

A steel ball coal mill, genetic optimization technology, applied in the direction of genetic rules, constraint-based CAD, gene model, etc., can solve the problems of steel ball coal mill size design without quantitative basis, large selection margin, and parameter mismatch

Active Publication Date: 2019-09-10
JINAN HEAVY MACHINERY JOINT STOCK
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for the design and selection of steel ball coal mills based on genetic optimization algorithms, which is used to solve the problem of excessive selection margin of steel ball coal mills, mismatched parameters, and non-standard size of steel ball coal mills. Designing Questions That Have No Quantitative Basis

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  • A Design and Type Selection Method of Steel Ball Coal Mill Based on Genetic Optimization Algorithm
  • A Design and Type Selection Method of Steel Ball Coal Mill Based on Genetic Optimization Algorithm
  • A Design and Type Selection Method of Steel Ball Coal Mill Based on Genetic Optimization Algorithm

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Embodiment Construction

[0065] Such as Figure 1 to Figure 7 As shown, the present invention includes:

[0066] Step 1), designing the parameters of a certain specific steel ball coal mill;

[0067] Step 2), select the optimal model of steel ball coal mill from the model of designed steel ball coal mill and existing models;

[0068] Step 3), determining the optimal operating condition parameters of the steel ball coal mill;

[0069] Step 4), guiding the operation of the pulverized steel ball mill pulverization system.

[0070] Such as figure 2 As shown, with the increase of coal storage in the steel ball coal mill, the power consumption of the ball mill represented by curve 1 also increases, the pressure difference between the inlet and outlet of the mill represented by curve 2 increases, and the outlet temperature of the mill represented by curve 3 decreases. The negative pressure at the mill inlet represented by curve 4 increases.

[0071] According to the characteristics of the curve, the ...

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Abstract

A steel ball coal mill design and type selecting method based on a genetic optimized algorithm comprises the following steps: 1, parameters of a specific steel ball coal mill are designed; 2, an optimal model of steel ball coal mills is selected from the designed model of steel ball coal mills and existing models; 3, optimal operation condition parameters of the steel ball coal mill are determined; and 4, operation of a pulverizing system of the steel ball coal mill is guided. In the invention, according to theoretical foundation, and on the basis of a minimum pulverizing unit consumption principle, parameter automatic optimization searching is carried out through utilization of a genetic algorithm; a optimal economic operation guidance is given; a genetic algorithm control flow is designed; optimal running state parameters beta, gama and tm are calculated; outputting of the pulverizing system is raised; the system safety and economic operation are ensured; the production quality and the production efficiency of the ball mill are raised; energy is saved; and competitiveness of products on the market can be raised, thereby bringing more benefits for enterprises.

Description

technical field [0001] The invention relates to the technical field of system optimization design, in particular to a method for designing and selecting steel ball coal mills based on genetic optimization algorithms. Background technique [0002] As an important auxiliary system in the thermal power generation unit, the pulverization system is a large power consumer of the entire unit. Optimizing the operation of the pulverization system and reducing the plant power consumption of the pulverization system are important means of energy saving for thermal power units. The steel ball coal mill is widely used as an important equipment of the pulverization system, but in the actual operation process, it is difficult to ensure that the coal mill operates at the best economic output point, which will increase the power consumption and waste energy per unit of coal grinding. This is because the coal pulverizer system is a multi-input, multi-output complex system with strong nonlinea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N3/12B02C17/18
CPCB02C17/18G06F30/17G06F2111/04G06F2111/06G06N3/126G06Q10/04
Inventor 张成梁杨家芳曹永华胡延安
Owner JINAN HEAVY MACHINERY JOINT STOCK
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