The invention discloses a measuring method of pulverized coal concentration. The measuring method comprises the steps that a wavelet neural network model is built, and training is conducted; wherein the wavelet neural network model comprises a cold primary air volume, a primary wind temperature, a coal feed quantity, a hot primary air volume, a coal mill inlet and outlet pressure differential, a coal mill outlet pulverized coal temperature, a separator outlet pressure and a total air volume which serve as wavelet neural network inputs and takes a concentration value of pulverized coal at the coal mill outlet as a wavelet neural network output; the trained wavelet neural network model is used for real-time online measuring of the pulverized coal concentration, newly sampled coal mill data serves as an input of the trained wavelet neural network model, and an output of the trained wavelet neural network model is the concentration value of the pulverized coal at the coal mill outlet. According to the measuring method of the pulverized coal concentration, dependence on a training sample set is low, the stability of the measuring method is high, the robustness is good, the method is not affected by field measurement environmental factors, and the error-tolerant rate is high; a wavelet neural network measuring system is simple in structure, convenient to install, free of interference of the field measurement environmental factors, high in sensitivity and low in maintenance cost.