In the displacement measurement of fiber grating interference sensor, the measurement results of the sensor will fluctuate or have errors due to the influence of environmental confounding such as external vibration or electromagnetic. In order to improve the efficiency of displacement measurement using fiber Bragg grating interferometric sensors and ensure the accuracy of measurement, a high-precision calibration method for displacement measurement error of fiber Bragg grating interferometric sensors is proposed. Obtain displacement measurement data by analyzing the displacement measurement principle of fiber Bragg grating interferometric sensors; Using wavelet threshold method to denoise and smooth displacement measurement data; Using Back Propagation (BP) neural network, high-precision calibration of error data in displacement measurement data after denoising is carried out. The experimental results show that the proposed method can effectively improve the accuracy, efficiency, and operational stability of error calibration while reducing the computational complexity of error calibration.