At present,coal is still the main energy consumption in the power industry. In addition,the sulfur content and ash content in the commonly used coal for power station boilers is high,which is easy to cause ash and slagging on the heated surface. The serious slagging in the furnace will limit the output of the boiler and threaten the economy and safety of the unit operation,therefore,the development of a comprehensive and comprehensive slagging prediction model will be the focus of further research,which is very important to effectively monitor the degree of slagging in boiler furnace and its development trend. Combining fuzzy mathematics theory with BP neural network,a fuzzy neural network suitable for judging characteristics of slagging in the furnace of coal-fired power plant was constructed. When selecting the input evaluation index,not only its slagging characteristics from the coal ash itself were considered,but also the dimensionless furnace maximum temperature,which reflects the slagging judgment index of unit operation,was incorporated into the model. Taking the operating conditions of the boiler into account,the judgment basis is more comprehensive. A total of 6 factors with higher resolution and the most representative were selected as the input discriminant indicators of this model. Four different types of membership functions were used to fuzz the discriminative index as the input of the fuzzy neural network model,and the neural network without fuzzification was used as the comparison. According to the principles of statistics,the result with the highest occurrence probability was selected as the final evaluation index to increase the accuracy of the prediction result. The results show that when the unit burns Huating coal,the furnace slagging discrimination indexes softening temperature,silicon ratio,silicon aluminum ratio,alkali acid ratio,comprehensive index and the dimensionless maximum temperature of the furnace are 1 220 ℃,58.71,1.63,0.48,2.55 and 0.982 respectively,which are severe slagging. When Huangling No. 1 coal is properly mixed,it is 1 255 ℃,71.02,2.04,0.31,2.15 and 0.958 respectively,which is medium slagging. Therefore,proper blending of high-quality coal can be used to improve the slagging condition of the furnace. The prediction result of this model is accurate,which can provides a new way to comprehensively evaluate the slagging characteristics of the boiler furnace.