Intelligent prediction method and device for pulverized coal combustion characteristic parameters and storage medium
A characteristic parameter and pulverized coal combustion technology, applied in the field of combustion, can solve the problems of high calculation cost and expense, achieve fast and accurate prediction, realize digitization, and optimize regression results
Pending Publication Date: 2021-11-09
HUANENG CLEAN ENERGY RES INST
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[0003] However, since the pulverized coal combustion process is a process involving transient, high temperature, multi-phase, and multi-component, in order to achieve a high prediction accuracy for this process, it often takes a high computational cost
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[0032] The present invention will be further described in detail with the accompanying drawings and specific embodiments below, which are explanations rather than limitations of the present invention.
[0033] The invention is used for simplifying the coal powder combustion stability prediction process and realizing the intelligence and digitalization of coal powder combustion. Such as figure 2 , that is, through a simple mapping relationship, the direct mapping from multiple independent variables to the characteristic parameters of pulverized coal combustion is realized.
[0034] Select the characteristic parameters that characterize the ignition stability: ignition delay time and ignition mode as dependent variables, and select environmental variables: temperature T(K), oxygen concentration f O2 , pressure p(atm), carbon dioxide concentration f CO2 , water vapor concentration f H2O , turbulence intensity I, and the characteristics of the particles themselves: volatile co...
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The invention discloses an intelligent prediction method for pulverized coal combustion characteristic parameters, and belongs to the technical field of combustion. The method comprises the following steps: firstly, establishing a single-particle pulverized coal ignition model, and selecting environment characteristic conditions and pulverized coal particle characteristic parameters as input parameters, namely independent variables, according to a model calculation result; selecting the concerned pulverized coal combustion characteristic parameters as dependent variables, and establishing a direct mapping relation between the independent variables and the dependent variables through data analysis; and on the basis of the influence rule of the change of each single variable on the pulverized coal combustion characteristic parameters, selecting regression variables, and optimizing the regression result by reasonably adjusting the selection of dependent variables. According to the method and device, a data analysis method is applied to the complex pulverized coal combustion process, a unified and universal regression model is established based on a large number of experiments and simulation data, rapid and accurate prediction of the pulverized coal combustion process is achieved, and digitization and intellectualization of the pulverized coal combustion process are achieved.
Description
technical field [0001] The invention belongs to the technical field of combustion, and in particular relates to an intelligent prediction method, device and storage medium for pulverized coal combustion characteristic parameters. Background technique [0002] The acquisition of the characteristic parameters of the pulverized coal combustion process plays a key role in understanding the stability of the combustion process. On the one hand, the development of measurement technology provides a more advanced and reliable method for monitoring the pulverized coal combustion process. On the other hand, the advanced numerical simulation computing technology also provides a digital prediction method for pulverized coal combustion. [0003] However, since the pulverized coal combustion process is a process involving transient, high temperature, multi-phase, and multi-component, in order to achieve a high prediction accuracy for this process, it often requires a high computational cos...
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Login to View More IPC IPC(8): G16C10/00G06F17/18G06F30/20G06Q10/04
CPCG16C10/00G06F17/18G06F30/20G06Q10/04
Inventor 许扬
Owner HUANENG CLEAN ENERGY RES INST