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Method for establishing data mart for intelligent power distribution and consumption big data application system

A data mart and application system technology, applied in special data processing applications, electrical digital data processing, data mining, etc., can solve the problems that cannot meet the needs of effective data integration, efficient storage, high scalability, and large structural differences

Inactive Publication Date: 2018-12-07
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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AI Technical Summary

Problems solved by technology

[0004] Due to the wide variety of power distribution data and the large structural differences caused by different devices and external systems, the existing technology cannot meet the requirements for effective data collection when faced with a sharp increase in the number and a greatly increased collection frequency of power data. Requirements for integration, efficient storage, and high scalability

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  • Method for establishing data mart for intelligent power distribution and consumption big data application system
  • Method for establishing data mart for intelligent power distribution and consumption big data application system
  • Method for establishing data mart for intelligent power distribution and consumption big data application system

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and through specific embodiments. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0038] A method for establishing a data mart in an intelligent power distribution and consumption big data application system. Basic data (user power consumption data and power grid operation data) are analyzed and mined to form a data mart to provide application data for each application module. Based on data processing as the core, the data mart performs data collection, data storage, data cleaning, and data analysis, and finally realizes the purpose of visual display of data analysis results.

[0039] A data mart method for an intelligent power distribution big data application system, specifically comprising the following steps:

[0040] Step 1, data collection:

[0041] Data collection of sourc...

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Abstract

The invention discloses a method for establishing a data mart for an intelligent power distribution and consumption big data application system. A data mart is established by a series of basic data, such as user consumption data and power grid operation data through different data analysis and mining means, and various application modules are provided with application data. The data mart carries out data acquisition, data storage, data cleaning and data analysis on the basis of data processing as the core, and the target of visual presentation of a data analysis result is finally achieved, sothat high-speed query and retrieval of the big data application system on the data are achieved.

Description

technical field [0001] The invention relates to the field of power distribution, in particular to the processing of multi-source and heterogeneous power distribution big data, and is the application of big data technology in power distribution networks. Background technique [0002] With the advent of the big data era, all walks of life are facing enormous data pressure. The electric power industry is no exception. The storage, management, analysis, and application of massive user electricity consumption data are all problems that need to be solved urgently. How to find the laws and values ​​contained in it through the analysis of data, and provide scientific reference and basis for the provision of personalized services, grid erection, decision-making, etc., is the key to the gradual development of power distribution business towards intelligence and leanness . [0003] Building a big data application system for intelligent power distribution and further optimizing the me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F2216/03Y02D10/00
Inventor 张婷马翔邵嗣杨衣然张奕楠
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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