Mass electricity consumption data analysis system as well as real-time calculation method and data mining method
A technology of electricity data and analysis system, which is applied in the fields of electricity digital data processing, database distribution/replication, and calculation, etc., can solve the problems of low efficiency of mining algorithm and large amount of calculation, and meet the requirements of improving manageability and efficient statistical analysis. , the effect of high processing efficiency
Active Publication Date: 2015-02-18
QINGYUAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD
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Problems solved by technology
Therefore, technicians use mining algorithms in the field of intelligent electricity consumption for customer analysis, but large-scale massive electricity consumption data has a large amount of calculation when processing, and the efficiency of traditional mining algorithms is too low
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[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0030] figure 1 It is a structural block diagram of an embodiment of the massive power consumption data analysis system provided by the present invention, such as figure 1 shown, including:
[0031] Data source, used to provide massive power consumption data;
[0032] A data acquisition module, configured to acquire massive power consumption data from the data source by means of web services and / or ETL;
[0033] A data storage module, configured to store the mas...
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The invention discloses a mass electricity consumption data analysis system, which comprises a data source, a data obtaining module, a data storage module, a data calculation module, a basic service module and an electricity consumption analysis platform, wherein the data calculation module is used for carrying out 98 distributed parallel computing on mass electricity consumption data of the data calculation module by adopting SmartMing and / or Rhadoop analysis tools and / or Spark frameworks, the basic service module provides GIS (geographic information system) service and visual service and carries out data analysis according to a calculation result of the data calculation module, and the electricity consumption analysis platform is used for carrying out metering device analysis, real-time line loss calculation, electricity consumption behavior analysis, feeder line analysis, electrical load predication and load real-time predication according to the basic service module. The invention also discloses a mass electricity consumption data real-time calculation method based on the mass electricity consumption data analysis system and a mass electricity consumption data mining method based on the mass electricity consumption data analysis system. The mass electricity consumption data can be subjected to analysis processing, and the processing efficiency is high.
Description
technical field [0001] The invention relates to the field of power consumption data processing, in particular to a massive power consumption data analysis system. Background technique [0002] With the rapid development of the scale of the power grid, information technology has been widely used in all levels of the power grid, and has achieved remarkable results. It has provided strong support for meeting the needs of national economic and social development and improving customer service quality. The metering automation and collection systems of power companies are also being continuously improved and popularized, resulting in massive power consumption data. [0003] However, the enterprise's application control of electricity consumption data lags far behind the growth of electricity consumption data, making its management more difficult and complex. As a decision maker, it is necessary to sort out and analyze massive power consumption data for a long time before drawing ...
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IPC IPC(8): G06F17/30G06Q50/06
CPCG06F16/2462G06F16/254G06F16/27G06Q10/0637G06Q10/06375G06Q50/06Y02D10/00
Inventor 马超然邝振星钟世冠苏超覃杰聪莫东平阮国恒潘肇宇
Owner QINGYUAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD