Before laying aluminum honeycomb panels on the carriage base in the production process of rail vehicles, it is necessary to test the surface shape of the carriage body base in order to determine the height of the rubber pad at the supporting point. Due to the deflection and deformation of the carriage base, the height difference of each supporting point is different, and the overall fitting needs to be carried out according to the measured value. On the basis of obtaining the measurement data of the height difference of the supporting points of the car body base, a three-point plane algorithm suitable for the laying of aluminum honeycomb panels of rail vehicles is proposed, in which the compensation height of the honeycomb panel mounting seat can be determined. The data used by the algorithm is based on the intelligent multi-surface adjustment device of the rail vehicle. By the practice of applying the algorithm to the production process of rail vehicles, it is shown that the algorithm can automatically segment the aluminum honeycomb panels according to the length, determine the optimal thickness of the rubber pads at the support points, so that the aluminum honeycomb panels are laid flat and the height difference at the joints is minimized robustly and reliably.