The measurement accuracy of multi-channel pressure acquisition systems is severely restricted by the temperature drift of silicon-based piezoresistive pressure sensors.To address this issue

a compensation algorithm that integrates Lagrange interpolation with cubic spline interpolation is proposed.During the offline phase

a segmental Lagrange interpolation strategy is employed to construct a temperature-to-voltage mapping model

while a cubic spline interpolation model is built to establish the nonlinear mapping relationship between voltage and pressure.In the real-time phase

the pre-established models are queried to rapidly identify the pressure interval and compute the compensation value.To verify the algorithm’s effectiveness

a multi-channel pressure test system is designed

and calibration and compensation verification experiments are carried out in a temperature range of 30℃ to 80℃.Experimental results demonstrate that after compensation

the sensor’s nonlinear error in the full temperature range is reduced to below 0.0344%FS

and the accuracy reaches 0.1039%FS.Compared with methods utilizing polynomial fitting and back propagation(BP)neural networks

the proposed algorithm not only enhances compensation precision but also maintains higher computational efficiency.