神经网络在锅炉燃烧调整分析中的应用

Neural Network Application to Combustion Adjustment Analysis for Boiler

针对锅炉采用煤质与设计煤质不同时而引发的结焦问题,以旺隆电厂锅炉为工程典型实例,基于神经网络技术,分析了不同煤质对锅炉的影响。首先,采用径向神经网络对实际运行数据进行拟合,建立了锅炉的运行调整与控制模型;然后,利用该模型对锅炉调整参数进行分析,通过比较煤质、配风、配粉对锅炉燃烧的影响,总结出燃烧调整规律,从而有效地控制锅炉的运行参数,保证锅炉的安全稳定运行。

To solve the boiler coking problem caused by the deviation of actual coal quality from the designed demand of coal,the boiler in Wanglong Thermal Power Plant is cited for instance,and the influence of different coal quality on boiler is analyzed based on the technology of neural network.First,the radial neural network is adopted for regressing the operation data to set up the operation model fit for boiler＇s adjustment parameters and control parameters.Then the model is used to analyze the adjustment parameters and compare the influences of coal quality,air feeding and pulverized coal distribution on boiler combustion,thereby summarizing the combustion adjustment discipline,effectively controlling the operation parameters of boiler and ensuring the operational safety and stability of boiler.