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针对目前锅炉飞灰含碳量测量方法存在时间滞后和精度不高等问题，在分析对锅炉飞灰含碳量影响因素和做锅炉燃烧特性实验的基础上，建立了锅炉飞灰含碳量在线软测量的神经网络模型。算例表明该模型具有良好的泛化能力和敏感性，能正确描述电站锅炉飞灰含碳量的响应特性，可进一步推广使用。
Aiming at the problems such as time lag and low accuracy of measuring method of carbon content in fly ash of boiler at present, on the basis of analyzing the influence factors of carbon content in boiler fly ash and the experiment of making boiler combustion characteristics, Measurement of neural network model. The example shows that the model has good generalization and sensitivity and can correctly describe the response characteristics of the fly ash carbon content in power plant boilers, which can be further popularized.