Multi-source data fusion system and method

A multi-source data and data fusion technology, applied in the field of data fusion, can solve problems such as data increase and change, large data volume, data sources and types, etc., and achieve the effect of improving effectiveness and accurate data information services

Inactive Publication Date: 2016-08-24
YINLIAN FINANCIAL INFORMATION SERVICE BEIJING CO LTD
View PDF5 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Correspondingly, big data has four characteristics, namely large volume of data, rapid increase and change of data, various sources and types of data, and difficulty in guaranteeing the authenticity of data.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-source data fusion system and method
  • Multi-source data fusion system and method
  • Multi-source data fusion system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0018] see figure 1 , the embodiment of the present invention provides a multi-source data fusion system, including:

[0019] Data source subsystem 100 , data fusion subsystem 102 and fusion database subsystem 104 . in,

[0020] The data source subsystem 100 is used to collect multi-source data;

[0021] Scenario rule base 106, used to store scenario rules based on different scenario settings;

[0022] The data fusion subsystem 102 is configured to perform data fusion on the multi-source data to form an analysis data set, associate the analysis data set according to the scene rules, and output a fusion database based on the scene rules;

[00...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-source data fusion system and method. The multi-source data fusion system comprises a data source subsystem used for acquiring multi-source data, a scene rule base used for storing a scene rule based on different scenes, a data fusion subsystem used for fusion of the multi-source data so as to form an analysis data set, correlating to the analysis data set according to the scene rule, and outputting a fusion database based on the scene rule, and a fusion database subsystem used for storing the fusion database based on the scene rule. By the adoption of the system and method, data fusion requirements in different scenes can be met, data fusion effectiveness is improved, and accurate data information service can be provided for requirements of different scenes.

Description

technical field [0001] The invention relates to the field of data fusion, in particular to a multi-source data fusion system and method. Background technique [0002] With the use of information systems and the Internet, various enterprises and institutions have large-scale data. These large-scale data prompt people to use new methods and tools to analyze these data. Big data has four dimensions (referred to as 4V): capacity (Volume); high speed (Velocity); variety (Variety); authenticity (Veracity). Correspondingly, big data has four characteristics, namely, large volume of data, rapid increase and change of data, various sources and types of data, and difficulty in guaranteeing the authenticity of data. Big data is often collected from different sources, with different data patterns and data representation methods. How to integrate these data is the core issue of big data research. [0003] Data fusion usually refers to collecting multiple data sources and merging thes...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/254
Inventor 程明强王向阳曹国梁
Owner YINLIAN FINANCIAL INFORMATION SERVICE BEIJING CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap