Neural Network To Predict The Ignition Characteristics Of Coal And Coal Blending,

Along with the rapid development of our country's Industy, the factors induce that the power plant combusts the single coal impossibly for a long time, which are the increase wastage of coal, the difficulty transportation, the asymmetric distributing of coal mine and the policy of nation about that power boiler combusts inferior coal, therefore, the power plant must combusts blended coals. However, the characteristics of ignition is very important to the safe and economical boiler operation, so that the article researches on the characteristics of blended coals' ingnition.The coal characteristics is one of very important factors affecting the characteristics of ignition, but it is complex nonlinear correlation between inner-relation of coal quality and igniting characteristics, which cannot be described exactly by certain single coal quality index, the people's experience and the empiric formulas. For the sake of solving this problem, BP neural network is adopted in this article. Based on mass data of coal analysis and thermogravimetric analysis, the article establishes three models of BP neural network, as follows:1 , The single coal grade and mixed proportion are import data, and the corresponding blended coals grade is export data. Therefore, the article establishes BP neural network model which forecast the blended coals grade through single coal grade.2 , This article is divided into three kinds of condition and establishes BP neural network model from proximate analysis and calorific value to ignition temperature.3 , This article is divided into three kinds of condition and establishes BP neural network model from proximate analysis and calorific value to ignition stability index.The prediction result shows that the high precision of prediction can be achieved by using BP neural network, and that the relativity of input data and output data can be compared by using the BP neural network too.The article also analyses the five thermal analysis curves of blended coals made up of different coal grade, researches the characteristic of blended coals ignition, and chooses ten blended coals validate the result of establishing BP neural network models.