水泥窑协同处置生活垃圾的燃烧特性分析优化

针对传统方法难以分析掺烧生活垃圾后的水泥窑复杂燃烧特性的问题,引入数据挖掘技术,以国内某水泥厂为对象,采集相关参数数据,使用稳定性选择算法分析各参数对煤耗与NOx排量的影响系数,通过随机森林算法建立煤耗与NOx排量的数学模型,结合K-means聚类算法得出关键优化参数及其最优值.结果 表明,该方法能够建立精确的煤耗与N...

Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse

Because the traditional methods can hardly analyze the complex combustion characteristics of cement kiln mixed with domestic refuse, a data mining technology is introduced. A domestic cement plant is selected as the object, and its operating data and relevant parameters are collected. The influence coefficient of each parameter on coal consumption and NOx emission is analyzed by using Stability Selection algorithm. The mathematical model of coal consumption and NOx emission is established with Random Forest algorithm, and the key optimization parameters and their optimal values are obtained by K-means clustering algorithm. The result shows that this method can establish accurate models of coal consumption and NOx emission, and can find out the key optimization parameters and their optimal values for energy saving and emission reduction. By adjusting the key optimization parameters, coal consumption and NOx emission can be greatly reduced. This method can guide cement plant to optimize kiln combustion performance.