A viable technical solution of optimal value of unburned carbon content in the fly ash was developed by hybrid intelligence technique.
为了降低飞灰含碳量，提高锅炉运行水平，运用混合智能技术建立了飞灰含碳量目标值模型。
Decreasing unburned carbon content in fly ash is important to improve the combustion economization of the boiler, but it is difficult to measure online.
降低飞灰含碳量对火力发电厂提高锅炉燃烧经济性具有重要意义，而飞灰含碳量难以在线测量。
Through summarizing the study of coal combustion, one dimension unburned carbon content in fly ash forecast model is established in which combustion and heat transfer are combined.
通过总结前人对煤粉燃烧的研究，建立了一个将炉内燃烧和传热相耦合的飞灰含碳量一维预测模型。
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