To meet the demands of accuracy and reliability of the measurement of pulverized coal mass flow rate for the coordinated system

a method of soft-sensing for pulverized coal mass flow rate was proposed. According to the characteristics of each signal that can affect the pulverized coal mass flow rate

the Kalman filter was used to fuse the valve opening and the inlet air pressure at low coal feed rate and the wavelet filter was applied to fuse the capacity air quantity and the flow velocity of outlet gas-solid mixture at high coal feed rate. Then

the fusion signal of capacity air quantity can be obtained. Furthermore

to reduce the nonlinear error

the ratio of primary air to coal was corrected by employing the signal of coal level and capacity air quantity. The results show that

the soft-sensing signal based on multi-source information fusion has the advantages of small linear error

less high-frequency interference and high reliability.