锅炉对流受热面灰污监测研究

On the Monitoring of Ash Fouling on the Convection Heating Surface of Boiler

为了提高电站锅炉对流受热面灰污监测的准确性,更好地进行吹灰优化,提出了基于最小二乘支持向量机的锅炉对流受热面灰污监测方法。以天津北疆电厂1 000 MW机组锅炉为例,建立监测模型,分析了模型建立过程中输入参数的选择、数据的采集与筛选、数据的预处理、核函数的选择等。结果表明:此模型监测结果与电厂的实际吹灰操作一致,能够较准确地实现电站锅炉受热面的灰污监测,为电厂进一步地吹灰优化打下了良好的基础。

In order to improve the accuracy of the monitoring of ash fouling on the convection heating surface of the boiler in power station and optimizes soot blow!ng better, proposes monitoring method for ash fouling on the convection heating surface of boiler based on least squares support vector machine. With the boiler of 1 000 MW unite in Tianjin Beijiang Power Plant as an example, establishes a monitoring model, analyze the selection of input parameters, the collection and filtering of the data, preprocessing of the data, and selection of kernel function in modeling process. The results shows that： the monitoring results of the model is consistent with the actual soot blowing operation of the power plant, which can accurately achieve the monitoring of ash fouling on the heating surface of the boiler to lay a good foundation for further optimizing the soot blowing of power plant.