Mass electricity consumption data analysis system as well as real-time calculation method and data mining method

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: SU CHAO, TAN JIECONG, KUANG ZHENXING, PAN ZHAOYU, MA CHAORAN, ZHONG SHIGUAN, MO DONGPING, RUAN GUOHENG
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.