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The purpose of AMS experiment is to look for the source of the dark matter, source of the cosmic ray and the universe made of antimatter. The characteristics of AMS experiment are massive data and complicated computing. The data are frequently transmitted, retrieved and processed among the computing nodes located in USA, Europe and China. This paper introduces the grid platform at Southeast University, called SEUGrid, for the AMS data processing and analysis. Some key technologies such as the scheduling strategy, data replica management and semantic access control, which SEUGrid adopts to fit the AMS data processing, are described in the paper. [ABSTRACT FROM AUTHOR]