This paper presents a method to predict the cleaning state of the boiler heating surface. In this method, firstly, the historical fouling rate data is decomposed into two parts: fitting curve data and the difference between original data and the fitting curve. Then, combined with the real-time fouling rate data, the prediction model is established. Finally, the method is verified by the actual operation data of a 300 MW coal-fired power station boiler. The method does not need additional special instruments or a complex calculation system but can use the existing monitoring data to realize the dirt monitoring and soot blowing optimization of the economizer, which has a certain guiding role for the soot blowing operation of the coal-fired power plant.

中文翻译：

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燃煤电站锅炉受热面污染状态预测

本文提出了一种预测锅炉受热面清洁状态的方法。该方法首先将历史污染率数据分解为拟合曲线数据和原始数据与拟合曲线的差异两部分。然后结合实时污染率数据，建立预测模型。最后，通过某300 MW燃煤电站锅炉的实际运行数据对该方法进行了验证。该方法不需要额外的专用仪器或复杂的计算系统，可以利用现有的监测数据实现省煤器的污物监测和吹灰优化，对燃煤电厂的吹灰运行具有一定的指导作用。植物。