The gas chromatography-ion mobility spectrometry(GC-IMS) was used to determine the volatile organic compounds(VOCs) of rape flower honey from 10 geographical origin in China， 67 characteristic components were selected from a wide range of VOCs signal data by two-dimensional differential spectrum method. Principal component analysis (PCA) and partial least squares discriminant analysis(PLS-DA) were performed on 10 geographical origin rape flower honey samples from the untargeted perspective of differentiated VOCs distribution profile. Based on PLS-DA， the discrimination model of rape flower honey geographical origin was established. The result showed that the predictive power (Q2) and goodness of fit(R2) parameters of the cross validation were 0.959 and 0.987， respectively. The permutation showed that it did not overfitting， and the identification model was robust and effective， which could effectively identify rape flower honey from 10 geographical origin. At the same time， 21 characteristic markers that played a key role in effectively distinguishing rape flower honey geographical origin were further screened out by variable importance for the projection (VIP) values. In this study， GC-IMS technology and PLS-DA theory and method were introduced to achieve accurate identification of rape flower honey samples from different geographical origin， which provided a new technical strategy for honey origin tracing.