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Big data technology based power quality monitoring system construction method

A technology of power quality monitoring and big data technology, applied in the measurement of electrical variables, electrical digital data processing, special data processing applications, etc., can solve the problem of reducing the performance of the power quality monitoring system, inability to expand, and the cost of horizontal expansion of a centralized relational database Large and other problems, to achieve the effect of solving horizontal scalability, improving data analysis and calculation speed, and reducing expansion costs

Inactive Publication Date: 2018-04-10
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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AI Technical Summary

Problems solved by technology

The centralized relational database scales out expensively or even cannot expand, which greatly reduces the performance of the power quality monitoring system

Method used

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  • Big data technology based power quality monitoring system construction method
  • Big data technology based power quality monitoring system construction method
  • Big data technology based power quality monitoring system construction method

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Embodiment Construction

[0028] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0029] Such as figure 1 As shown, a method for building a power quality monitoring system based on big data technology, including building a hybrid storage module for power quality monitoring and a distributed parallel computing module for power quality monitoring; the distributed parallel computing module is used for statistical analysis. Data in weekly, monthly, quarterly and yearly dimensions; the hybrid storage module is used to store data collected by power quality monitoring equipment.

[0030] Hybrid storage modules are divided into columnar storage modules, row storage modules, and memory storage modules according to different usage method...

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Abstract

The invention discloses a big data technology based power quality monitoring system construction method. The method includes a power quality monitoring mixed storage module and a power quality monitoring distributed parallel computing module; the mixed storage module is used for performing local storage on data acquired by a power quality monitoring device, and can be subdivided into a row type storage module, a line type storage module, and a memory storage module according to different use manners and use frequencies of the data; and the distributed parallel computing module is used for performing statistic analysis on the data in dimensions such as days, weeks, months, quarters, and years. The big data technology based power quality monitoring system construction method can solve the problem that the conventional power quality monitoring systems which adopt an centralized correlation database to store data cannot deal with increasing power quality monitoring data, and are low in information statistic computing efficiency.

Description

technical field [0001] The invention belongs to the field of power quality monitoring, and in particular relates to a construction method of a power quality monitoring system based on big data technology. Background technique [0002] Power quality monitoring is an important link to improve the power quality level of the power grid. With the in-depth development of modern network technology, optical fiber communication technology and standardized protocols, and can provide mature technical support for data collection, long-distance transmission and sharing, and timely analysis, the networked power quality monitoring system has become the mainstream of power quality monitoring Way. A number of online monitoring and management platforms for power quality with unified monitoring have been established at home and abroad for data collection and statistical analysis. The online monitoring and management platforms that were initially established had relatively small amounts of dat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/18G01R31/00
CPCG01R31/00G06F17/18G06F16/182G06F16/278
Inventor 李斌郭雅娟郭晨宇宗海峰徐雁翔张军史明明李志陈锦铭范忠孙德鹏邓洁清何剑
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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