Based on evaluation of blast furnace condition, the operator of the blast furnace iron-making process determines the amount of coal injection according to the furnace condition, and has problems of blindness, roughness and hysteresis in the increase and decrease of the size and timing. In this paper, the blast furnace smelting mechanism is combined with expert experience and process information to establish a coal injection feedback compensation model based on gas flow distribution and furnace thermal state evaluation. Firstly, the important parameters of gas flow distribution and hearth thermal state are analyzed and extracted, and the entropy weight method is used to determine the weights of the evaluation model input parameters, the parameters are classified according to expert experience and data statistical analysis. The evaluation model of furnace temperature thermal status based on furnace temperature prediction and the evaluation model of gas flow distribution are established separately. Then, the coal injection feedback compensation rules based on the gas flow distribution and the evaluation of the furnace hot state are established,which can eliminate the uncertainty of the coal injection set value, and the influence of hysteresis, improve the combustion efficiency of pulverized coal, and provide the on-site operator with the coal injection setting value in real time and accurately.