Intelligent association fusion method for multi-source environment big data

A fusion method and big data technology, applied in database indexing, database update, relational database, etc., can solve problems such as low processing efficiency, achieve the effect of improving data processing efficiency and reducing manual processing costs

Pending Publication Date: 2022-01-21
CHONGQING CYBERCITY SCI TECH +1
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Problems solved by technology

[0005] Aiming at the low processing efficiency evaluation problem caused by the lack of spatial attributes of environmental business data in the prior art, the present invention proposes an intelligent association fusion method for multi-source environmental big data, by associating business data with spatial data, and establishing an automatic Update mechanism to reduce manual processing costs and improve data processing efficiency

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  • Intelligent association fusion method for multi-source environment big data
  • Intelligent association fusion method for multi-source environment big data
  • Intelligent association fusion method for multi-source environment big data

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Embodiment Construction

[0041] The present invention will be further described in detail below in conjunction with examples and specific implementation methods. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0042] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or element must have a particular orientation, b...

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Abstract

The invention discloses an intelligent association fusion method for multi-source environment big data, which comprises the following steps: S1, automatically capturing business data in a business system, storing the business data in a cache database, establishing a business data form, and associating the name of the business data form with the name of a spatial data set; S2, automatically checking a contrast relationship between a spatial data record and a business data record, and performing label marking on the spatial data, including a first label category and a second label category; and if the lables are marked as the first label category, entering S3; S3, for the spatial data marked by the labels, updating the geometric position of the spatial data based on a correction and matching method of positive geocoding; S4, updating attribute information of the spatial data with the geometric position information based on a spatial analysis method; and S5, obtaining, by the the business system, the updated spatial data in the step S4 through a spatial data push interface, and updating the business data in real time to form a space and business continuous update closed loop.

Description

technical field [0001] The invention relates to the field of environmental protection technology, in particular to an intelligent correlation fusion method for multi-source environmental big data. Background technique [0002] Spatial data refers to the spatial data of geographic entities, mainly involving ecological environment spatial data, including environmental basic data, environmental thematic data, and basic geographic data, expressing the geometric characteristics of various data of the ecological environment and the spatial relationship between entities. [0003] Business data is highly organized and neatly formatted data, which can be put into tables and spreadsheets, and is mainly stored in relational databases and distributed large databases. Data records mainly include fields used by various businesses. [0004] Since business data and spatial data are stored in two platforms separately, the data is not updated synchronously, lacks effective correlation, and a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/23G06F16/2455G06F16/28
CPCG06F16/2282G06F16/23G06F16/24552G06F16/284
Inventor 朱勃罗斌付娟娟周兵刘寓龚巧灵黄心曾可罗庆俊向茹熙魏之欣杨朝玲邓可欣陈巧聂慧林谭婷婷陈相均
Owner CHONGQING CYBERCITY SCI TECH
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