Using ERA5 500hPa hourly reanalysis data (0.25°×0.25°) and based on the synoptic characteristics of the Tibetan Plateau vortex（TPV）, an objective identification algorithm based on the grid data with high spatial and temporal resolution was designed and researched to identify the TPV over the Qinghai-Tibet Plateau during the warm season from 1990 to 2019, and to establish the TPV database. The algorithm extracted the TPV feature points by objective criteria, and adopted DBSCAN algorithm for feature point clustering analysis. Based on the coincidence, proximity and previous lifetime of the TPV between adjacent time periods, a reasonable path of the TPV was obtained to connect the isolated TPV into a dynamic vortex process. Using the Qinghai-Tibet Plateau Low Vortex Shear Line Yearbook, the comparison of the TPV in the warm season of 2017 (from May to September) and the objective identification method in this paper are compared. The results show：the monthly distribution characteristics of the objective identification TPV and the proportion of the TPV moving out of the plateau are similar to those in the Yearbook, and the typical long-life TPV can be correctly identified, which shows that the objective identification algorithm and its database have certain reliability and practicability. However, the total number of the objective identification TPV is more than that in the Yearbook of Low Vortex Shear Line over the Qinghai-Tibet Plateau, and there are also more TPV originating from "western type". The reason for this is that finer grid scale can extract the eddies from earlier lifetimes, possibly tracing the "eastern type" eddies in the Almanac further to the west. In addition, due to the serious lack of observation stations in the northwest part of the Qinghai-Tibet Plateau, the TPV generated in the northwest part of the Plateau are not reflected in the Yearbook, which is also an important reason for the difference in the number of the TPV.