An electricity consumption information collection system and its collection method based on big data technology

Abstract

An electricity consumption information collection system and its collection method based on big data technology, relating to the electricity consumption information collection system and its collection method. At present, the power consumption information collection system has the problems of lack of high-speed and massive data storage calculation models, time-consuming, and poor calculation results. The present invention includes: a communication service module; a data storage module: connected to the communication service module, including relational databases, distributed databases and cloud storage, and the obtained electricity information data is correspondingly stored in the relational database, distributed database and cloud storage ; Data processing module: connected to the data storage module, which includes timing calculation service unit, real-time data flow processing unit, complex event flow processing unit, massive data off-line processing unit and data mining unit; data presentation module: connected to the data storage module. The technical solution adopts different processing methods for real-time calculation and offline calculation, which improves the real-time processing capability and calculation speed of data and effectively reduces storage space.

Description

technical field [0001] The invention relates to a power consumption information collection system and a collection method thereof, in particular to a power consumption information collection system and a collection method based on big data technology. Background technique [0002] Since 2010, the construction of the electricity consumption information collection system has been comprehensively promoted. As of July 2014, the 27 units of the State Grid have all launched the construction of electricity consumption information collection systems. The full-caliber users have achieved collection coverage of 230 million households, and the collection coverage rate has reached 66.98%. The proportion of collected electricity to total electricity sales has reached 93.49%. The electricity consumption information collection system consists of a system master station, a transmission channel, a collection terminal and a smart meter. [0003] The system master station is responsible for t...

AI Technical Summary

Problems solved by technology

[0007] The current electricity consumption information collection business data model, facing more than 20 million low-voltage users in Zhejiang Province, has different types and forms of massive data storage in the fields of high-frequency data collection, storage, and computing, and the computing time period is too long;

[0008] 2. It is time-consuming and the calculation effect is not good, and there is a calculation bottleneck

[0009] The data calculation of the current electricity information collection is limited by the original memory space and processing performance bottleneck of oracle. For the full amount of data in the province at 24 o'clock every day, the calculation of the data takes two hours and the calculation effect is not good.

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