Abstract: In order to analyze the different production sites of eggs efficiently, accurately and nondestructively, the near-infrared spectroscopy technology was used. The PLS-DA judgment model and SIMCA were combined in the analysis process, the traceability model of eggs could be effectively established. More importantly, the original spectral data was processed in advance by means of standard normal variate, SNV, savitzky-golay, multiplicative scatter correction, MSC, etc., and the smoothing treatment in SG (3 points) was the optimal experimental result. In addition, the principal component analysis method was used in the experiment, which could be used for clustering analysis of eggs in different areas. It was found that when the principal component fraction was 3, the established SIMCA had the best traceability effect. In addition, the results of analysis data showed that when the significance level was 0.05, the recognition rate of the four regions (shuozhou, luliang, taigu and yuncheng) was 100%, of which the rejection rate of luliang and yuncheng was 100%, and that of shuozhou and taigu was 98.6%. These experimental data show that the model established by SIMCA model can effectively identify the origin of eggs under certain conditions.