Method for predicting melting temperature of coal ash based on mineral phase and neural network composite model

Abstract

The invention discloses a method for predicting the melting temperature of coal ash based on a mineral phase and neural network composite model, which comprises the following steps of: firstly, establishing a coal ash mineral phase composition sub-model, establishing a linear programming problem by utilizing Gibbs free energy change generated by mutual reaction of chemical components at high temperature, establishing a prediction model for solving the coal ash mineral phase composition at a specified temperature, and checking the consistency of the model; on the basis of the mineral phase composition sub-model, establishing an ash fusion point prediction sub-model; establishing a neural network model, adjusting various training parameters of the neural network, further enhancing the prediction precision of the prediction model by adopting an iterative algorithm, adding a correction value to represent the influence of secondary elements in coal ash on the coal ash meltability, and finally analyzing the precision and reliability of the established model; and determining a prediction result accuracy index, and comparing the prediction result accuracy index with a prediction result of a support vector machine prediction mode. The model established by the method has relatively high reliability.

Description

technical field [0001] The invention relates to a method for predicting coal ash melting temperature based on a composite model of mineral phase and neural network. Background technique [0002] my country is rich in coal resources, and its output and consumption both rank first in the world. In 2015, the output of raw coal reached 3.68 billion tons, and the consumption amounted to 3.965 billion tons. 72.1% and 64%. According to the forecast of the Chinese Academy of Engineering, based on the current energy demand, China's coal consumption will reach more than 4.5 billion tons by 2030. According to the state of resources in our country and the proportion of coal in the energy production and consumption structure, the energy structure with coal as the main body will not change for quite a long time. Therefore, how to use the existing coal resources more reasonably and efficiently has become a very important and urgent problem to be solved. Although my country is rich in coa...

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Problems solved by technology

Experimental measurement requires many steps, which is time-consuming and expensive

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