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An automatic inspection and centralized monitoring method for missing data in a multi-data source environment

A technology with missing data and multiple data sources, which is applied to the quality inspection of real-time data in power systems, automatic inspection of missing data and centralized monitoring in a multi-data source environment, and can solve the problem of centralized monitoring of data loss from multiple data sources.

Active Publication Date: 2019-02-22
EAST CHINA GRID +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these existing tools still cannot solve the centralized monitoring of data loss from multiple data sources

Method used

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  • An automatic inspection and centralized monitoring method for missing data in a multi-data source environment
  • An automatic inspection and centralized monitoring method for missing data in a multi-data source environment
  • An automatic inspection and centralized monitoring method for missing data in a multi-data source environment

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Embodiment Construction

[0022] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0023] figure 1 It schematically shows the overall flow chart of the method for automatically checking data missing and centralized monitoring in a multi-data source environment according to a preferred embodiment of the present invention. figure 2 It schematically shows the structure diagram of data scanning and centralized monitoring according to the preferred embodiment of the present invention.

[0024] Specifically, in real-time data monitoring, it is first necessary to find missing data, then summarize the missing data, and finally display the missing data visually for operation and maintenance personnel to monitor. Such as figure 1 and figure 2 As shown, according to the preferred embodiment of the present invention, the data missing...

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Abstract

The present invention provides an auto check and centralized monitoring method for missing data in a multi-data environment, comprising steps of: performing regular missing check, wherein for example, a program regularly scans a real-time data table in a scheduling automation system accessed by a plurality of data centers, to search for losing data and store the losing data; performing data aggregation processing, wherein after respective losing data of the plurality of data centers is acquired, the losing data of the different data centers is aggregated to form an aggregate losing data file; and performing centralized monitoring processing, wherein the aggregate losing data file is displayed by using a reporting tool.

Description

technical field [0001] The present invention relates to the field of enterprise data quality, in particular to the quality inspection of real-time data in electric power systems. More specifically, the present invention relates to an automatic inspection and centralized monitoring method for missing data in a multi-data source environment. Background technique [0002] The East China Branch of the State Grid currently has 4 sets of data centers. The real-time data of SCADA (Data Acquisition and Monitoring) of the D5000 dispatching automation system is one of the most important data in the data center. Telemetry data requires real-time access to the data center. In these 4 sets of data centers, due to different functional requirements, the frequency of data access is also different. Some are 1-minute sections (one access per minute), and some are 15-minute sections, but all require accurate data access; If there is data loss, it is necessary to find out in time and fill in t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/23G06F16/25
CPCG06F16/2365G06F16/254
Inventor 毕晓亮张亮徐尧强岑维新吴超李丽周瑾郭华军马欢周晓苏
Owner EAST CHINA GRID
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