The invention discloses a central temperature estimation method of a crossed temperature measurement device of a blast furnace, belongs to the field of the automation control of blast furnace smelting, and particularly relates to a central temperature estimation method of the crossed temperature measurement device of the blast furnace on the basis of an M-SVR (Multi-output Support Vector Regression). The central temperature estimation method constructs a central temperature estimation model of crossed temperature measurement, wherein the central temperature estimation model is provided with an output self-feedback structure, considers input data of a previous moment and carries out on-line estimation on the temperature of five temperature measurement points of a crossed temperature measurement center. When the central temperature point of the crossed temperature measurement can not be normally measured, operation personnel can estimate the distribution of gas flow in the furnace according to the temperature estimation value of the model, timely regulates a burden distribution matrix and guarantee the stable direct motion of the blast furnace. The central temperature estimation method comprises the following steps: (1) selecting a model input variable; (2) determining a modeling strategy; and (3) determining a model training sample.