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Big data technology-based electric power fee controlling method and system

A big data technology and data technology, applied in the field of electricity cost control, can solve the problems affecting the stability of the marketing system, poor computing reliability, weak computing performance, etc., to improve the overall utilization rate, reduce hardware costs, and achieve high-performance computing capabilities. Effect

Active Publication Date: 2017-01-11
YANTAI HAIYI SOFTWARE
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the data storage and data calculation mode adopted by the traditional electricity cost control method has limitations in the processing of massive data, which is manifested by low storage efficiency, weak calculation performance and poor calculation reliability, which in turn affects the stability of the marketing system.

Method used

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  • Big data technology-based electric power fee controlling method and system
  • Big data technology-based electric power fee controlling method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] Embodiment: A kind of electricity cost control system based on big data technology (see figure 1 ), which includes the meter reading data management module and the meter code management module connected to the power metering system. These two modules are used for data preparation, collecting and analyzing the original meter reading data of the metering system. The system also includes meter code processing Modules, volume fee calculation module, volume fee filing module, volume fee verification module and balance analysis module, these five modules are used for data verification, data calculation and archiving and data analysis of the collected table code information.

[0037] The meter reading data management module is used to collect basic data for cost control calculations, including metering file tables, electricity fee algorithm parameter tables, metering point transformer relationship tables, and shared electricity price relationship tables. The data is extracted,...

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Abstract

The invention provides a big data technology-based electric power fee controlling method and system so as to solve problems of low storage capability, low calculation performance and poor system stability of a conventional electric power fee controlling system in big data quantity conditions. The big data technology-based electric power fee controlling method and system specifically comprises the following steps: 1, a big quantity of data is written in, searched and updated via distributed storage technologies; 2, a distributed internal storage calculation engine is used for data storage, verification and calculation in a whole fee calculation process; 3, a distributed file system, clustering resource scheduling and big data clusters are used as a basic framework, and physical nodes of the system can be dynamically expanded and removed. The big data technology-based electric power fee controlling method and system can provide mass data storage capability and high performance data calculating and analyzing capability, horizontal expansion capability of the fee controlling system can be increased, hardware cost can be lowered, fault tolerating capability of the system can be improved, fee control calculation stability can be improved, and application of big data technologies to electric power fee control can be forcefully supported.

Description

[0001] Technical field: [0002] The invention relates to a method and system for controlling electric power charges based on big data technology, belonging to the technical field of electric power marketing. [0003] Background technique: [0004] The power marketing system is the core application of the information management of power supply enterprises, and the high performance and high reliability of the system must be ensured. As an important part of the power marketing system, the cost control business requires table code data processing and full electricity cost calculation for tens of millions of metering points every day, and is required to be completed within 3 to 4 hours. Both frequency and computing performance requirements are far beyond traditional electricity bill calculation functions. However, the data storage and data calculation mode adopted by the traditional electricity cost control method has limitations in the processing of massive data, which is manifes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
Inventor 于瑞强王林刘波刘洋赵恺王昱皓张威李锐张洪杰刘军
Owner YANTAI HAIYI SOFTWARE
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