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Research on the Temperature of Cement Rotary Kiln Burning Zone Based on Data Mining

机译:基于数据挖掘的水泥旋转窑燃烧区温度研究

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In the cement rotary kiln burning system, the temperature of the burning zone is a key factor affecting the quality of cement clinker. At present, the temperature in the burning zone of most domestic cement rotary kilns is set manually, and the burning system is complex, making it difficult to establish an accurate mathematical model. Aiming at the this problems, a method of setting the burning temperature based on data mining is proposed and experiments are carried out. This article first introduces the cement production process and burning parameters, through data preprocessing, grey correlation analysis to determine the parameters, fuzzy c-means to construct the fuzzy set process to get the data form suitable for data mining. finally, the association rule mining algorithm is used to mine the temperature setting value of the burning zone that meets the production requirements. The experimental results show that the temperature setting method of the burning zone based on data mining can mine the temperature of the burning that meets the production requirements, which is of great significance for reducing coal consumption and improving the quality of clinker.
机译:在水泥回转窑燃烧系统中,燃烧区的温度是影响水泥熟料质量的关键因素。目前,大多数国内水泥旋转窑的燃烧区的温度设定手动设定,燃烧系统很复杂,使得难以建立准确的数学模型。针对该问题,提出了一种基于数据挖掘设定燃烧温度的方法,并进行实验。本文首先介绍了水泥生产过程和燃烧参数,通过数据预处理,灰色相关性分析来确定参数,模糊C-merial构建模糊集的过程,以获取适合数据挖掘的数据形式。最后,关联规则挖掘算法用于挖掘满足生产要求的燃烧区的温度设定值。实验结果表明,基于数据挖掘的燃烧区的温度设定方法可以挖掘满足生产要求的燃烧温度,这对于减少煤炭消耗并提高熟料质量具有重要意义。

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