Multi-source heterogeneous data fusion method and system for urban brain scene

A multi-source heterogeneous data, multi-source data technology, applied in other database retrieval, other database indexing, special data processing applications, etc., can solve problems such as inability to integrate, data is not unified, etc., to achieve the effect of enhancing connotative value

Inactive Publication Date: 2021-02-26
BEIJING ZHONGHAIJIYUAN DIGITAL TECH DEV CO LTD
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the data of various industries in urban governance are not unified and cannot be integrated

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 heterogeneous data fusion method and system for urban brain scene
  • Multi-source heterogeneous data fusion method and system for urban brain scene
  • Multi-source heterogeneous data fusion method and system for urban brain scene

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0090] Based on the use of population comprehensive governance scenarios

[0091] The comprehensive management of urban population needs massive data support, including static population attribute information, residential information, flow information, and location information. Based on data fusion and analysis, the population size, structure, correlation index, and temporal and spatial distribution are realized. Analytical support capabilities in different dimensions ultimately assist urban population governance and monitoring management.

[0092] Including the following steps:

[0093] 1) Build a population theme resource database, and logically classify the database according to business logic;

[0094] 2) Integrate population data, unify the data format and transform coordinates through tools;

[0095] 3) Establish attribute field mapping between different data sources;

[0096] 4) Mount processing of non-spatial data;

[0097] 5) Data element merging, deletion and fus...

example 2

[0101] Research Scenarios of Resumption of Work and Production Indicators after the Epidemic Based on Multi-source Data Fusion

[0102] Including the following steps:

[0103] 1) Under the influence of the current epidemic situation, enterprises are gradually recovering from work and production, and it is necessary to be able to use massive and complex multi-source heterogeneous data to support the analysis and decision-making of economic operation indicators;

[0104] 2) Judging its operation trend, coordinating census data, housing data, traffic data, communication data, power data, and spatializing data;

[0105] 3) Extract and integrate attributes that can quantify and analyze economic indicators, assist managers in rationally allocating resources, strengthen forecasting and early warning, and do a good job in structural optimization and stability.

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 fusion method of multi-source heterogeneous data for an urban brain scene. The fusion method comprises the following steps: converting the multi-source heterogeneous data into multi-source data in a unified format; superposing and analyzing the multi-source data in the unified format according to the unified space reference; normalizing attributes of the multi-source datain the unified format; performing spatial position alignment on the normalized multi-source data in the unified format, and unifying a coordinate system; fusing the multi-source data in the unified format; constructing a data model by taking urban governance business as a guide. The invention further discloses a fusion system of the multi-source heterogeneous data for the urban brain scene. The multi-source heterogeneous data fusion method and system for the urban brain scene aim at solving the problem that fusion cannot be achieved due to the fact that data of all industries is not unified in urban governance.

Description

technical field [0001] The invention belongs to the technical field of urban governance electronic information, and specifically relates to a fusion method and system for multi-source heterogeneous data used in urban brain scenes. Background technique [0002] In the field of urban governance, the characteristics of government data sources are extensive, massive, complicated, multi-source, multi-type, multi-type, and fragmented. The current integration and sharing of data is not optimistic, and many government data have not maximized their value. , in the use of the platform, due to many problems such as coordinate system, format, source and scale, it cannot really integrate together to provide the basic ability to assist decision-making analysis. [0003] The current urban governance has basically solved the problem of hardware facilities, but the phenomenon of information islands still exists. For example, human data exists in public security and civil affairs departments,...

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
IPC IPC(8): G06F16/90G06F16/901
CPCG06F16/90G06F16/901
Inventor 梅一多庞小斌何彬贺军杨振王惠平
Owner BEIJING ZHONGHAIJIYUAN DIGITAL TECH DEV 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