This paper mainly conducts research on the electrode distribution of the multi-electrode electromagnetic flow measurement system. Through simulation work, the weight function of the area to which the electrodes on the pipeline cross-section belong with respect to the potential difference is roughly obtained. Moreover, by comparing the simulation data with the actual experimental data, the correctness of the simulation work is verified. Tikhonov regularization is utilized to inversely solve the average velocity of the electrode area, and the TR-CNN algorithm is established to refine the velocity field of the pipeline cross-section in question. It mainly introduces the influence of different electrode placement methods on the potential difference. The results show that it has a relatively small impact on the velocity distribution of the fluid cross-section before flowing through the elbow, and the potential difference is highly sensitive to the velocity in the area where the magnetic induction coil and the electrodes are relatively close. The Pitot tube is used to conduct verification measurements on the fluid velocity field in the pipeline. The results indicate that as the measurement points are farther away from the elbow, the “skewing” phenomenon of the fluid flow velocity gradually weakens. In terms of prediction performance, the mean square error (MSE) of the cross-section error is approximately 0.015, and the mean absolute error (MAE) is about 0.095. These error indicators jointly demonstrate that the system has a relatively high measurement accuracy in practical applications.
Liu et al. (Tue,) studied this question.