Fouling Monitoring Modeling System based on the BP neural network for boiler convection surfaces is presented in this paper.

采用多层前向型神经网络，对电站锅炉对流受热面的实时污染状况建立了监测模型。

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Slagging and fouling on heat transfer surface is a familiar and unavoidable problem of power boiler, which is adverse to keep boiler running safely and economically.

受热面污染作为燃煤电站锅炉运行中一个不可避免的实际问题，对锅炉的安全经济运行带来严重影响。

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Fouling and slagging not only prevent the heat transmission of heating surface but also influence the normal operation of boiler.

阐述了积灰和结渣不仅降低了锅炉受热面的传热能力，而且还对锅炉的实际运行产生较大的影响。

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