An efficient spatiotemporal data retrieval method based on ground state correction model

Abstract

The invention discloses a high-efficiency spatio-temporal data retrieval method based on a ground state modified model. The high-efficiency spatio-temporal data retrieval method is used for increasing efficiency and accuracy in history retrieval of a spatio-temporal database and comprises the steps of designing an initial state and a current state of the two-ground-state spatial-temporal database managed by storage patterns, performing immediate updating on the current ground state through an event correction mode between the two ground states, taking events as units to organize history negative increment data, constructing a history spatio-temporal sequence, and dynamically creating multiple groups of correction versions relative to the initial ground state in the long history according to needs to create a temporary ground state of an intermediate history state. Detailed and accurate spatio-temporal evolution records can be achieved with low data redundancy by means of an organization mode of event correction, high-efficiency spatio-temporal positioning can be achieved through establishment of the correction versions, a history maintenance function of the model can be greatly enhanced by means of cooperative effect of the organization mode of event correction and establishment of the correction versions, and therefore, high-efficiency and stepless spatio-temporal retrieval of the history is achieved.

Description

technical field [0001] The invention belongs to the technical field of spatio-temporal database management, in particular to an efficient spatio-temporal data retrieval method based on a ground state correction model. Background technique [0002] Geographic spatiotemporal objects themselves contain a large amount of unique attribute information and spatial information, and also imply continuous temporal information and changes in the topological relationship with the surrounding environment. In real life, geographic spatiotemporal elements are always in discrete dynamic updates. . The historical update process of spatio-temporal geographic objects has important reference significance for historical retrieval, change tracking, and analysis and prediction of databases. Therefore, spatio-temporal databases not only need to store and maintain the current data status, but also need to be able to realize real-time dynamic updates and efficient historical spatio-temporal data. da...

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Problems solved by technology

[0004] The idea of ​​"correction" is a milestone concept in the study of spatiotemporal data models. The ground state correction model uses a correction method to record historical data, which greatly reduces the redundancy of historical data. However, the pure correction data record has brought a very serious problem. Problem: It is difficult to maintain the historical spatio-temporal topological relationship, which also makes it difficult to efficiently implement historical retrieval

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