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Coal ash component prediction method and device and terminal

A technology of composition prediction and prediction method, which is applied in prediction, neural learning method, biological neural network model and other directions to achieve the effect of improving the slagging of water wall

Pending Publication Date: 2022-02-08
STATE GRID HEBEI ENERGY TECH SERVICE CO LTD +2
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The invention provides a method, device and terminal for predicting the composition of coal ash to solve the problem of determining the composition of coal ash before coal combustion

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  • Coal ash component prediction method and device and terminal
  • Coal ash component prediction method and device and terminal
  • Coal ash component prediction method and device and terminal

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Embodiment Construction

[0037] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0039] see figure 1 , which shows the implementation flow chart of the method for predicting the composition of coal ash provided by the embodiment of the present invention, which is described in deta...

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Abstract

The invention provides a coal ash component prediction method and device and a terminal. The method comprises the following steps: acquiring coal parameters of target coal, wherein the coal parameters comprise coal components, coal shapes and coal quantity; obtaining combustion parameters of the target coal, wherein the combustion parameters comprise the combustion mode, the combustion duration, the primary air volume and the opening degree of a secondary air baffle; inputting the coal parameters and the combustion parameters into a trained component prediction model to obtain coal ash components of coal ash generated after the target coal is combusted under the combustion parameters, wherein the component prediction model is a BP neural network, and the coal ash components comprise mass fractions of various metal oxides in coal ash. According to the method, the coal ash component after coal combustion is predicted through the BP neural network, and the coal ash component can be determined before coal combustion, so that the coal ash component can be changed by adjusting the combustion parameters of coal, and the slagging and coking phenomena of the water cooling wall of the tail flue of the power station boiler are improved.

Description

technical field [0001] The invention relates to the technical field of detection of coal ash components, in particular to a method, device and terminal for predicting coal ash components. Background technique [0002] During the operation of power plant boilers, the tail flue will produce slagging and coking on the water wall. This is caused by the low ash melting point of pulverized coal. Therefore, the influence of the ash melting point of the coal used should be considered in the design and operation of the boiler. . The chemical composition of coal ash is the main factor affecting the melting point of ash. Therefore, to determine the melting point of coal ash, it is necessary to determine the chemical composition of coal ash. [0003] At present, the chemical composition of coal ash can only be measured after the coal combustion is completed, so the melting point of the coal ash can only be determined after the coal combustion is completed. It is difficult to avoid the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q10/04G06Q10/06G06Q50/06G06K9/62G06N3/00G06N3/04G06N3/08
CPCG06F30/27G06Q10/04G06Q10/067G06Q50/06G06N3/006G06N3/084G06N3/044G06F18/214
Inventor 汪潮洋王天龙贾永会闫晓沛李欣马辉
Owner STATE GRID HEBEI ENERGY TECH SERVICE CO LTD
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