On-line calibration of laser displacement meter (LDM) used for monitoring bridge structures is the key to ensure the accuracy of the bridge monitoring systems. Due to the differences of sampling frequency and time delay between different sensors, the measuring value sequence of the sensor to be calibrated (SBC) often has a big deviation with the reference value sequence, which seriously impacts on the on-line calibration results. To solve this problem, a matching algorithm for data sequences based on feature points sectioning was proposed. The data matching test was conducted with bridge beam model. The mismatching problem encountered by the traditional method was well solved. The results show that the proposed algorithm has good adaptability to sampling frequency offset with a matching accuracy of above 98%.