Big data analysis system for transient electric energy quality comprehensive evaluation

A technology for transient power quality and comprehensive evaluation, applied in the field of big data analysis, can solve the problems of irrelevance of power quality indicators, difficult to determine weighting coefficients, etc., to achieve high fault tolerance and portability, improve efficiency and accuracy, Solve the effect of data fragmentation

Inactive Publication Date: 2019-07-09
广州明领基因科技有限公司
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Problems solved by technology

The main problem of this comprehensive evaluation method is that each power quality index has obvious irrelevance, which makes it difficult to determine their corresponding weighting coefficients.

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  • Big data analysis system for transient electric energy quality comprehensive evaluation
  • Big data analysis system for transient electric energy quality comprehensive evaluation
  • Big data analysis system for transient electric energy quality comprehensive evaluation

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Embodiment Construction

[0015] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0016] refer to figure 1 , a big data analysis system oriented to comprehensive evaluation of transient power quality according to the present invention, the system includes: a data source layer module, a distributed file management layer module, a big data distributed processing layer module and a distributed data mining layer module; Wherein, the data source layer module processes massive historical data and real-time streaming data respectively for classifier training and real-time classification process; the distributed file management layer module uses a master-slave structure of name nodes and data nodes to provide The big data distributed processing layer module ...

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Abstract

The invention discloses a big data analysis system for transient electric energy quality comprehensive evaluation. The system comprises a data source layer module, a distributed file management layermodule, a big data distributed processing layer module and a distributed data mining layer module, wherein the data source layer module is used for respectively processing mass historical data and real-time streaming data, and is used for classifier training and real-time classification; the distributed file management layer module provides high-throughput data access for the big data distributedprocessing layer module by using a master-slave structure of a name node and a data node; wherein the big data distributed processing layer module mainly adopts a MapReduce distributed computing framework universal in the industry, constructs a Reduce function, combines all intermediate values with the same intermediate key, and submits output data to the distributed data mining layer module; andthe distributed data mining layer module acquires data by using batch data retrieval and real-time data retrieval on the basis of the MapReduce distributed computing framework.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, and relates to a big data analysis system for comprehensive evaluation of transient power quality. Background technique [0002] Power quality disturbance mainly refers to the degree to which indicators such as time frequency, voltage, and current of power supply and consumption equipment deviate from the rated value during normal operation. For a long time, people have paid more attention to the steady-state problem of power quality, mainly focusing on the research and treatment of voltage deviation, frequency deviation and three-phase unbalance. However, with the extensive use of sensitive equipment, transient disturbances have become the main cause of user power experience problems, especially voltage sags and short-term interruptions, which seriously threaten the power reliability of sensitive users. [0003] At present, the value contribution of information and communication techn...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F16/2465G06F16/27Y02P90/82
Inventor 周峻松徐继峰祁建明陈墩金
Owner 广州明领基因科技有限公司
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