Many Relatively complex factors affect the measurement process, both time-varying and randomness. Compared with static measurements, dynamic measurements are more widely used. This paper processes the measurement data based on the dynamic measurement theory and evaluates uncertainty of measurement to illustrate the processed data with greater use value. Uncertainty is smaller, the higher the quality of measurement results, the greater the value of the use. Type A evaluation and Bayesian evaluation are done for the raw data and the processed data after dynamic measurement theory. Through comparative study, the conclusion is obtained. Bayesian evaluation is better than type A evaluation. Compared with raw data, the uncertainty evaluation of The processed data after dynamic measurement theory is small, and the reliability is high，which shows the processed data closer to the true value, but also illustrates the dynamic measurement theory feasibility and correctness in the data processing.