Power utilization information acquisition system and method based on big data technology

Abstract

The invention relates to a power utilization information acquisition system and method based on a big data technology, and relates to a power utilization information acquisition system and a power utilization information acquisition method. A power utilization information acquisition system at present is lack in high-speed mass data storage calculation model, time-consuming and poor in calculation effect. The power utilization information acquisition system comprises a communication service module, a data storage module, a data processing module and a data display module, and is characterized in that the data storage module is connected with the communication service module and comprises a relational database, a distributed database and cloud storage, and acquired power utilization information data is correspondingly stored into the relational database, the distributed database and the cloud storage; the data processing module is connected with the data storage module, and comprises a timing calculation service unit, a real-time data stream processing unit, a complex event stream processing unit, a mass data offline processing unit and a data mining unit; and the data display module is connected with the data storage module. According to the technical scheme, real-time calculation and offline calculation adopt different processing modes, the real-time processing ability of data and the calculation speed are improved, and the storage space is effectively reduced.

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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