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Data space construction method based on virtual-real fusion and identifier analysis method

A data space, virtual and real fusion technology, applied in the construction method of data space and the field of identification analysis, can solve the problem of difficult retrieval and presentation methods, achieve the effect of rapid establishment and improve query efficiency

Active Publication Date: 2021-01-22
QINGDAO UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both physical entities and virtual entities are elements of enterprise data space, and are usually located in different business systems. Therefore, when establishing the relationship between physical entities and virtual entities, cross-database, cross-system or even cross-domain It is difficult to have a unified retrieval and presentation method for complex query retrieval

Method used

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  • Data space construction method based on virtual-real fusion and identifier analysis method
  • Data space construction method based on virtual-real fusion and identifier analysis method
  • Data space construction method based on virtual-real fusion and identifier analysis method

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Embodiment Construction

[0023] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, the enterprise logo resolution system in this embodiment includes business system, data space, intermediate retrieval system, logo resolution platform and other main components. Among them, the business system includes multiple, used to store and import different types of entities. For physical entities such as equipment and products, they can be composed of a series of modules, components and other entities, and the geometric design models, industrial mechanism models, and operating data models that these physical entities need to use in the design process are virtual entities. . These physical entities and virtual entities are usually located in different business systems. When storing them in the data space of the enterprise, it is necessary to establish the relationship between the physical entities and ...

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PUM

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Abstract

The invention discloses a data space construction method based on virtual-real fusion and an identifier analysis method. The method comprises the steps of generating a UUID according to a to-be-imported entity; carrying out matching retrieval in an index table of the data space by utilizing the UUID; storing the UUID into an index table when the matching entry is not retrieved; converting the related attributes of the entity into an entity description file, storing the entity description file in a data space, and associating the entity description file with the UUID in the index table, whereinthe generation mode of the entity description file is that if the entity description file is a virtual entity, compiling the virtual entity description file, and description elements of the virtual entity description file comprise a UUID of the virtual entity and all attribute information; if the physical entity is the physical entity, compling a physical entity description file, wherein description elements of the physical entity description file comprise a UUID of the physical entity, all attribute information and a binding field; and inserting the UUID of the entity needing to be bound into the binding field to establish association. According to the invention, the data space can be accurately and quickly established through the incidence relation between the entities.

Description

technical field [0001] The invention belongs to the technical field of data storage management and query, and in particular relates to a method for constructing a data space and an identification analysis method. Background technique [0002] At present, more and more enterprises are building data spaces to improve their comprehensive data analysis and decision-making capabilities. In order to build an enterprise data space, it is necessary to explore technologies for capturing, refining, storing, merging and analyzing massive heterogeneous data. [0003] In the process of traditional data space construction, highly purified linked data is generally required, but the original data is usually distributed in multiple different business systems, and often adopts different data models and different representation forms. Due to the lack of a unified identification system, the original data in these business systems often have characteristics such as heterogeneity and dispersal, ...

Claims

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Application Information

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IPC IPC(8): G06F16/2453G06F16/22
CPCG06F16/2453G06F16/2282G06F16/2255
Inventor 陶冶徐锴丁香乾侯瑞春胡强李辉徐凌伟史操
Owner QINGDAO UNIV OF SCI & TECH