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Big data cleaning and denoising method and system for power grid and computer storage medium

A big data and power grid technology, applied in the field of data processing, can solve the problems of low efficiency of power grid data detection and analysis

Active Publication Date: 2021-07-30
西安图迹信息科技有限公司
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  • Application Information

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Problems solved by technology

[0003] In order to improve the low efficiency of detection and analysis of grid data, this application provides a method, system and computer storage medium for cleaning and denoising grid data

Method used

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  • Big data cleaning and denoising method and system for power grid and computer storage medium
  • Big data cleaning and denoising method and system for power grid and computer storage medium

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Embodiment Construction

[0045] The following is attached Figure 1-2 The application is described in further detail.

[0046] The embodiment of the present application discloses a method, system, and computer storage medium for cleaning and denoising big data for power grids. refer to figure 1 , a big data cleaning and denoising method for power grids includes:

[0047] S1: Obtain grid data.

[0048] Specifically, the power grid data includes identification information of electric power equipment in multiple areas and the name, value and current time node information of the corresponding power detection data item, and the electric power equipment is generators, transformers and other equipment. Since each power device plays a different role during operation, the power detection data items corresponding to each power device are different. For example, the power detection data items of a generator are power generation, current, etc. , and the power detection data items of the transformer are input ...

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Abstract

The invention relates to the technical field of data processing, in particular to a big data cleaning and denoising method and system for a power grid and a computer storage medium. Power equipment with abnormal power detection data at the same time node in two continuous time periods and the abnormal time node are stored in a maintenance report, the method is helpful for working personnel to carry out specific analysis and processing on the detection condition of the power equipment in the power grid data. According to the method, abnormal data with null numerical values in the power grid data are deleted before storage, missing power detection data items in the stored power grid data are filled with corresponding filling values, the analysis time of the power grid data is shortened, a data analysis result is not affected, and meanwhile, the abnormal data are stored in an abnormal marking mode, and a worker can conveniently analyze the abnormal power grid data, so that the problem that the detection and analysis efficiency of the power grid data is relatively low can be solved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method, system and computer storage medium for cleaning and denoising big data for power grids. Background technique [0002] With the continuous development of my country's economy and the continuous advancement of related technologies, the coverage of smart grids is expanding at a rapid rate. The data sources of the power grid industry mainly come from the various links of power generation, transmission, transformation, distribution and consumption of electric power production and electric energy use, and the electric energy measurement data in each link are statistically collected and processed. Due to the large amount of data in the power grid of the entire network, the power detection data of power equipment will be detected multiple times at the same time node, and only once the data is normal, and the abnormal data will be stored directly, which wil...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/22G06Q50/06
CPCG06F16/215G06F16/2282G06Q50/06Y04S10/50Y02E40/70Y02D10/00
Inventor 章羽杨海龙李星马丽
Owner 西安图迹信息科技有限公司
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