An Improved Base State with Amendments Spatio-Temporal Data Model

The traditional base state with amendments model usually use the time sequence when choosing the base state to manipulate and it is usually use the extension of time point to represent the time-slot retrieval, which ignores the adjacent feature of the time point in a certain time-slot. The concept of operated base state and operation times is introduce in this paper, in which a base state with amendments spatio-temporal data model of dynamic selection base state is proposed, it resolves the problem of redundant operation caused by the false selection base state in the time sequence retrieval method. The concept of temporary base state is introduced in the time-slot retrieval, and it set the current moment as the temporary base state, and selects the fewer operands as the operation base state in the temporary base state and the fixed base state, which reduce a lot of duplicated operation and improve the retrieval efficiency.