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Space-time big data statistical analysis application construction method based on service workflow

A technology for statistical analysis and service work, applied in the field of big data analysis, can solve the problems of lack of reasonable statistical analysis methods and application platforms, insufficient comprehensive multi-dimensional attribute analysis of spatio-temporal big data, and insufficient description of statistical analysis requirements, etc., to achieve high efficiency Effect of Statistical Analysis

Pending Publication Date: 2021-07-16
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The present invention provides a spatio-temporal big data statistical analysis application construction method and system based on service workflow to solve the problems in the prior art mentioned in the above background technology that the multi-dimensional attribute analysis of spatio-temporal big data is not comprehensive enough, and the description of statistical analysis requirements is not perfect and lacks. Reasonable statistical analysis methods and application platform issues

Method used

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  • Space-time big data statistical analysis application construction method based on service workflow
  • Space-time big data statistical analysis application construction method based on service workflow
  • Space-time big data statistical analysis application construction method based on service workflow

Examples

Experimental program
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Effect test

Embodiment 1

[0105] Embodiment one: if figure 1 As shown, the application construction method of spatio-temporal big data statistical analysis based on service workflow includes:

[0106] Basic data service S101: used to provide corresponding basic spatio-temporal data operation services based on acquired multi-source, heterogeneous, and dispersed spatio-temporal basic data sources;

[0107] Basic function service S102: used to realize spatio-temporal data process service according to data descriptive statistical analysis;

[0108] Data analysis workflow S103: used to combine applications based on descriptive statistical analysis to form visualization results of statistical analysis of spatiotemporal big data.

[0109] Due to the use of basic data services: used to provide corresponding basic spatio-temporal data operation services based on acquired multi-source, heterogeneous, and dispersed spatio-temporal basic data sources; basic functional services: used to realize spatio-temporal dat...

Embodiment 2

[0185] Embodiment 2: The present invention is based on spatiotemporal big data, and the construction process mainly includes four modules. combine image 3 Describe in detail the application construction method of spatio-temporal big data statistical analysis based on service workflow. Among them, the two types of basic services targeted by the present invention include basic data services and basic function services.

[0186] Among them, the basic data service in the method connects scattered and multi-source data into a unified storage system, extracts key information related to time, space, and object attributes in the data, and provides basic operation functions of the storage system. The basic data service is a RESTful packaged web service. By calling the service interface, data access services in different time, space, and object dimensions, and query services in different dimensions are realized. Specifically include:

[0187] (1) Data access service: access data fr...

Embodiment 3

[0197] Example Three: Combining Figure 4 In the scenario of expressway big data, the construction of the service workflow of the spatiotemporal big data statistical analysis application of the present invention is described. Specifically include:

[0198] (1) The use of basic data services: the data volume of expressway traffic data is very large, and the table structure is very complicated. Expressway traffic data query service, encapsulates the query operation of the storage system, and shields the technical details of the underlying HBase big data column storage database. For statistical analysis that needs to extract data from complex structures, users only need to call services with a unified style of RESTful interface, set parameter configurations in dimensions such as time and space, reduce programming workload, and improve the efficiency of data statistics. In this embodiment, the expressway traffic data query service sets parameters as follows: the time is one day,...

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Abstract

The invention belongs to the technical field of big data analysis, and particularly relates to a space-time big data statistical analysis application construction method based on a service workflow, which comprises a basic data service, a basic function service and a data analysis workflow. According to the method, the problems that multi-dimensional attribute analysis of the space-time big data is not comprehensive enough, statistical analysis demand description is not perfect enough and a reasonable statistical analysis method and an application platform are lacked in the prior art are solved; the method has the beneficial technical effects of rapid and efficient statistical analysis and multi-dimensional attribute analysis of the space-time big data, repeated potential value mining, full and perfect demand description and rapid processing and analysis capability.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, and in particular relates to a method for constructing a spatio-temporal big data statistical analysis application based on a service workflow. Background technique [0002] With the rapid development of big data technology, many business fields generate massive and multi-source data, especially in the field of spatio-temporal big data. Due to the multi-dimensional characteristics of spatio-temporal data, there are some difficulties in the statistical analysis of spatio-temporal big data; the current traditional statistical The method has been unable to meet the statistical needs of massive and multi-dimensional spatio-temporal big data. At the same time, due to the multi-dimensional attributes of spatio-temporal big data, different users have different statistical analysis requirements for spatio-temporal big data, which brings new challenges to the statistical analysis of spatio-tempor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/2457G06F16/25G06F16/248G06F16/215G06F16/21
CPCG06F16/2465G06F16/2462G06F16/2457G06F16/254G06F16/248G06F16/215G06F16/211
Inventor 丁维龙周洁夏延清
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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