Intelligent analysis system based on electric energy metering system

Abstract

The invention relates to an intelligent analysis system based on an electric energy metering system. The intelligent analysis system comprises an electric energy metering system database, an intelligent analysis model building module, an intelligent analysis model library and a data information intelligent analysis module, and is characterized in that the electric energy metering system database is used for storing data information of the electric energy metering system so as to act as a basis for intelligent analysis; the intelligent analysis model building model is used for building various analysis models used for carrying out intelligent analysis; the intelligent analysis model library is used for storing various analysis models built by the intelligent analysis model building module, and comprises a metering point abnormity judgment model, an acquisition terminal running abnormity model, a master station channel abnormity judgment model and a master station computer system abnormity judgment model; and the data information intelligent analysis module carries out information analysis on the data information stored in the electric energy metering system database based on the intelligent analysis module. The intelligent analysis system provided by the invention realizes automatic intelligent analysis for the data information of the electric energy metering system, and displays a result of the intelligent analysis in a graphic manner, thereby being convenient for carrying out management, maintenance and the like on the data.

Description

technical field [0001] The invention relates to the field of electric energy data processing, in particular to an intelligent analysis system based on an electric energy metering system. Background technique [0002] Information is an important resource of modern enterprises and the basis for enterprises to use scientific management and decision-making analysis. At present, most enterprises spend a lot of money and time building their own information systems to record various data related to transaction processing. According to statistics, the amount of data will double every 2 to 3 years. These data contain However, what enterprises pay attention to usually only accounts for about 2% to 4% of the total data volume. The amount of data stored in the database has transitioned from megabytes (M) and gigabytes (G) in the 1980s to current terabytes (T) and gigabytes (P). Query requirements are becoming more and more complex, which involves not only querying or manipulating one ...

AI Technical Summary

Problems solved by technology

[0003] However, the existing information system is difficult to realize the intelligent analysis of data information, which leads to the need for a large number of personnel to intervene in the analysis of data information, wasting time and energy

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