A Retrieval Method for Data Objects Based on Spatio-temporal Database

Abstract

The invention relates to a retrieval method for data objects based on a spatio-temporal database, characterized in that the retrieval method includes the following steps: modeling the management object according to the time state and space state of the object to be managed; The management model of the object sets the specific attributes described by means of natural language of the object to be managed; based on the category of the management model of the managed object and the time attribute and / or spatial attribute described by means of natural language defined by the modeling Retrieval is performed to determine the running state of the managed object. The spatio-temporal database of the present invention describes the data information of production monitoring and management through three periods of history, real-time and planning. Users do not need to master computer language, they only need to use spatio-temporal meta-language to understand the spatio-temporal data of managed objects and understand the spatio-temporal operation status of managed objects, which not only saves computer content but also facilitates management.

Description

technical field [0001] The invention relates to the field of computer retrieval, in particular to a retrieval method for data objects based on a spatio-temporal database. Background technique [0002] Among the research results at home and abroad, most of the spatio-temporal database models are in the process of theoretical research, and there are still few prototype systems that have been realized. At present, the main spatiotemporal database models mainly include: sequence snapshot model, spatiotemporal cube model, ground state correction model, spatiotemporal composite model, object-oriented spatiotemporal model, etc. These models have different properties and advantages and disadvantages, but none of them are well suited to the needs of the statistics industry. For example, the sequence snapshot model is composed of a series of time slices, each time slice represents the state of the map at different times, it can also be understood as a set of atlases with the concept ...

AI Technical Summary

Problems solved by technology

However, the problems in this patent are: (1) the relational database is SQL or oracle, which can only be classified and retrieved through coding, and cannot be retrieved and queried by directly inputting time or space information (quick retrieval of historical databases can only be done through time information, and cannot be retrieved through spatial information), so it is very inconvenient to query and call the database; (2) the retrieval method is single, and can only be retrieved within a certain time range, but not within a certain spatial range. For example, it is not possible to retrieve information on all disasters that occurred in the Pacific region

However, the problems in this patent are: (1) The accuracy and precision of the spatial description is not high enough, for example, the upper and lower parts of a certain equipment in the factory cannot be described accurately and differentiated; (2) The query of data by spatial analysis and coding It is inconvenient to call, for example, to check the working status of the boiler in the factory, you need to find the code corresponding to the boiler, and you cannot directly query; (3) When the physical location is updated and changed, the database is not dynamically updated

However, the problem with this patent is that specific number identification information is required when querying and calling data. In some fields, such as the field of industrial process control, there are many types and quantities of equipment and process parameters, and it is very inconvenient to use numbers to query data

At present, there is no database that can improve the functions of these types of databases, and it can be configured and realized

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