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Method and device for evaluating spatio-temporal data quality

A space-time data and quality technology, applied in the field of big data, can solve problems such as high repair costs, long defect location chains, and difficult control of project progress

Pending Publication Date: 2021-08-20
亿景智联(苏州)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a method and device for evaluating the quality of spatio-temporal data, which can effectively solve the data quality control in the traditional mode proposed in the above-mentioned background technology, often adopting the waterfall mode, which is staged, and some serious defects are not verified until the system testing stage and discovery, leading to problems such as long defect location chain, high repair cost, low timeliness, and difficult control of project progress, which cannot adapt to the problems of data scale and iteration speed in the data production process in the era of big data

Method used

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  • Method and device for evaluating spatio-temporal data quality

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Embodiment

[0066] Example: such as figure 1 As shown, the present invention provides a technical solution, a method for evaluating the quality of spatio-temporal data, which specifically includes the following steps:

[0067] S1. Establish a business metadata database;

[0068] S2, establish a reference library;

[0069] S3. Receive incremental data;

[0070] S4. Perform metadata integrity check on DS1;

[0071] S5, identifying the data type of DS2;

[0072] S6. Performing quality assessment on DS2;

[0073] S7. Display the quality evaluation result.

[0074] Based on the above technical solution, in S1, the establishment of the business metadata database specifically includes defining the business metadata table structure, filling metadata definition data, defining industry field enumerated values, and defining the test index library;

[0075] Define the business metadata table structure including basic fields and depth fields. The basic fields include name, category, spatial coor...

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Abstract

The invention discloses a method and a device for evaluating spatio-temporal data quality. The method comprises the following steps: establishing a service metadatabase; establishing a reference library; receiving incremental data; performing metadata integrity check on the DS1; recognizing the data type of the DS2; performing quality evaluation on the DS2; according to the method, the production efficiency and the data quality can be improved, the time-space data quality evaluation standard, rule and method which are ready to use after box opening are adopted, forward monitoring is conducted on the data source and the production process through an event triggering mechanism, quality evaluation is integrated into all links of production through an automatic technical means, and the production efficiency is improved. Hidden data problems are found and solved in time, data quality is improved, discovery cost, positioning cost and repair cost are reduced, pollution of unqualified incremental data to reference data is eradicated, data credibility is improved. Meanwhile, production progress is guaranteed, data production and quality management are supported in an agile research and development mode, flexible and changeable data requirements are met in time, and data quality is improved. The production progress is guaranteed.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method and device for evaluating the quality of spatio-temporal data. Background technique [0002] Spatio-temporal data refers to data with both time and space dimensions. More than 80% of data in the real world are related to geographic location. Spatio-temporal data includes three-dimensional information of time, space, and thematic attributes. It has comprehensive characteristics of multiple sources, massive volume, and rapid update. Data quality is the cornerstone of digital decision-making. Bad data will lead to wrong decisions. Only clean and accurate data can effectively exert its positive value, accurately empower business growth, improve operational efficiency, and bring more than expected benefits to enterprises. ; [0003] Data quality control under the traditional model often adopts the waterfall model, which is staged. Some serious defects are not verified and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/9537G06F16/36G06F11/36G06Q10/06
CPCG06F16/2282G06F16/9537G06F16/374G06Q10/06395G06F11/3676G06F11/3692G06F11/3688
Inventor 董莹莹孙伟田鹏飞
Owner 亿景智联(苏州)科技有限公司
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