Data checking method based on multivariate complex data environment

A complex data and data inspection technology, applied in digital data information retrieval, data processing applications, electronic digital data processing, etc., can solve the problems of inability to check the timeliness and accuracy of multivariate and complex data

Pending Publication Date: 2021-11-02
TROY INFORMATION TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the existing technology, and check the quantity, quality and accuracy of data collected from multiple complex data environments according to the needs of smart city governance and dispatching business, in order to solve the problem of inability to check multiple data in different data access forms. For the timeliness and accuracy of complex data, provide a data inspection method based on multivariate and complex data environments

Method used

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  • Data checking method based on multivariate complex data environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Example 1, such as figure 1 As shown, the data inspection method based on multivariate complex data environment includes the following steps:

[0032] Step 1: Use software robots for data collection to automate the data collection business process;

[0033] Step 2: Build a smart city governance data source database to classify and manage official data sources involved in smart city governance;

[0034] Step 3: The basic rules of data inspection conduct preliminary screening on the collected data;

[0035] Step 4: Data feature selection Use the branch and bound search method to select data features;

[0036] Step 5: Data comparison The collected data is screened and put into storage through feature comparison and historical comparison.

[0037] Wherein, the software robot includes a simulation system login module, a connection system interface API module, a read-write database module, an excel file reading module and a rule customization operation module; to complete ...

Embodiment 2

[0057] Embodiment 2, a data inspection method based on a multivariate complex data environment, includes the following steps:

[0058] Step 1: Carry out data collection through configurable data collection software to realize the automation of data collection business process;

[0059] Step 2: Build a smart city governance data source database to classify and manage official data sources involved in smart city governance;

[0060] Step 3: The basic rules of data inspection conduct preliminary screening on the collected data;

[0061] Step 4: Data feature selection Use the branch and bound search method to select data features;

[0062] Step 5: Data comparison The collected data is screened and put into storage through feature comparison and historical comparison.

[0063] Wherein, the software robot includes a simulation system login module, a connection system interface API module, a read-write database module, an excel file reading module and a rule customization operation...

Embodiment 3

[0083] Embodiment 3, a data inspection method based on a multivariate complex data environment, includes the following steps:

[0084] Step 1: Use software robots for data collection to automate the data collection business process;

[0085] Step 2: Build a smart city governance data source database to classify and manage official data sources involved in smart city governance;

[0086] Step 3: The basic rules of data inspection conduct preliminary screening on the collected data;

[0087] Step 4: Data feature selection Use the branch and bound search method to select data features;

[0088] Step 5: Data comparison Screen and store the collected data through feature comparison, and start data feature reselection when the data pass rate is too low.

[0089] Wherein, the software robot includes a simulation system login module, a connection system interface API module, a read-write database module, an excel file reading module and a rule customization operation module; to comp...

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PUM

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Abstract

The invention discloses a data checking method based on a multivariate complex data environment, which is characterized by comprising the following steps: 1, performing data acquisition by using an automatic data acquisition system to realize automation of a data acquisition business process; 2, constructing a smart city governance data source library, and performing classified management on data sources of smart city governance; 3, checking basic rules of the data, and preliminarily screening the collected data; 4, data feature selection: selecting data features by using a branch and bound search method; and 5, screening and warehousing the acquired data through data comparison. The invention is suitable for urban governance, checks various business data obtained from multivariate complex data in combination with business requirements of urban governance scheduling, confirms the timeliness and accuracy of the data by using a data check mechanism, can accord with the core business of urban governance scheduling, and ensures that the urban governance has traces and evidence.

Description

technical field [0001] The invention relates to the field of big data governance, in particular to a data inspection method based on a multivariate and complex data environment. Background technique [0002] In urban construction, there are various system construction forms such as unified construction and self-construction in the country, province, city, and county. The systems are independent of each other, forming a large number of system islands and data islands. Urban governance needs to integrate the core business data of various systems, build a big data resource pool for urban governance, and form the business logic of urban governance based on the big data resource pool, so as to find problems in the process of urban operation, including but not limited to ecological problems. , economy, security and stability. [0003] At the same time, due to the characteristics of unified and self-built systems, it is impossible to form a unified data standard and standard data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06Q50/26
CPCG06F16/215G06Q50/26
Inventor 段红兵王震王勇黄磊王苹周礼钟明坤
Owner TROY INFORMATION TECHNOLOGY CO LTD
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