Method for acquiring and storing big data of power information

Abstract

The present invention, belonging to the field of acquisition and storage of big data of power information, relates to a method for acquiring and storing the big data of power information, and solves the problems in the acquisition and storage process of the big data of power information. The method comprises three steps: data acquisition, data storage and management, and data analysis. The method achieves the beneficial effects that the present invention provides the method for acquiring and storing the power information big data; and the problems of low response speed of a service system and long consumed time for waiting of a user, which are generated due to a large cardinal number of power users and a large quantity of information, can be well solved. Meanwhile, for massive information generated by a trading system on the basis of power data, the method can better complete data extension and analysis functions than a traditional database. Moreover, according to the method, massive Internet media data can be acquired, stored and processed so as to better learn about the trade trend; and during the operation process, the storage method has an efficient inquiring function so that retrieval can be rapidly completed when the data volume is increased sharply.

Description

technical field [0001] The invention belongs to the field of big data collection and storage of electric power information. It relates to a method for collecting and storing big data of electric power information, and solves the problems in the process of collecting and storing big data of electric power information. Background technique [0002] With the rapid development and wide application of information technology, power production enterprises, trading departments and users have accumulated a large amount of data using the Internet of Things and the Internet. With the continuous expansion of the scale and scope of database applications, power management departments and related enterprises use computers to enhance their ability to manage affairs, resulting in huge large-scale data sets. It is very complicated to collect and store such a large data set on the server. of. Originally, many data collection algorithms can achieve good collection results when the data set is...

AI Technical Summary

Problems solved by technology

[0005] At present, the typical business with the characteristics of power big data, such as the power consumption information collection system, has a large base of power users and a huge amount of data generated every day, which leads to the slow response of the business system in the statistical analysis business and the long waiting time of users. Based on With the massive information generated by the power big data trading system, it is impossible to use traditional databases to complete data expansion and analysis functions

In order to better understand the industry dynamics, how to effectively solve the collection and storage of massive network media data, and the surge in data volume leads to slow data retrieval operations

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