Complexity and diversity of flow of gas-solid two-phase flow affect measurement precision of solid phase mass flow directly

limit its application in industrial production seriously. Based on principle of double-elbow method of solid phase mass flow detection

using powerful nonlinear mapping ability of artificial neural network

take pressure difference between the two elbows as input

a RBF-based network soft measurement model is established

realize online measurement of solid phase mass flow. Experimental results show that the model measurement error is within 3 %

can solve the problem of solid phase mass flow on-line detection effectively

and has advantages of fast

high precision.