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Design and reasonable basis of the database can not only improve performance and efficiency of the whole spatial data operation, but also can reduce the late maintenance repair work, make whole space based data run faster, need to create a database of space based data. The current spatial database design method using ArcSDE data engine to adjust constantly updated space based data reuse technology of multi-source spatial data format conversion based on space database design, there is space based data run-time speed is slow, the problem of low precision. To this end, this paper proposes a space based database design method based on UML technology. This method first based on space database design based spatial data index structure, using R - based data index tree tree building space, on the basis of space based data index tree, scanning index space based data, filter based data object does not satisfy the query conditions of space, make the space data query result can be gained in the rated time and then USES the data points in space, data line, and area of cable, a set of detailed area, space based data network based data storage model of space for storage, use mongo drivers to store of vector spatial data, finally through to the space foundation database index, query, storage design has realized the space such as the establishment of the underlying database. The simulation experimental results show that the proposed method improves the speed of space of the construction of basic data, reduced the data of the running time, improve the utilization of space based data.