Energy storage power station massive data compression method and system

Abstract

The invention provides an energy storage power station massive data compression method and a system. The method comprises the following steps: I, determining the length n of original data, and sequentially dividing adjacent data in the original data into smallest sub sections; II, determining PCA sections according to the data in the smallest sub sections; III, sequentially determining the merging cost of two adjacent PCA sections, judging whether two adjacent PCA sections can be merged, selecting and merging values in line with the merging requirements and minimizing the merging cost; IV, returning to step II until the PCA sections cannot be merged; and V, obtaining a PCA section group, and determining the optimal compression solution of the original data. The method provided by the invention is based on massive data of a battery energy storage power station. Compared with a traditional compression method, the segmented-merging compression method can increase the compression ratio of massive data significantly and reduce the overhead of data storage.

Description

technical field [0001] The present invention relates to a method and system in the technical field of energy storage, in particular to a method and system for compressing massive data of an energy storage power station. Background technique [0002] At present, there are a large number of batteries in energy storage power stations, and each battery is equipped with multiple monitoring devices, resulting in a huge amount of data collected by the monitoring system for energy storage power stations. With the long-term use and expansion of energy storage power stations, the data of energy storage power stations increases, forming massive data. However, the existing data collection, storage and management methods of energy storage power stations are not standardized, and further in-depth research on massive data management and mining technologies for energy storage power stations is needed. In a large amount of battery energy storage power station data, not only the current data...

AI Technical Summary

Problems solved by technology

[0006] (3) The frequency of the same data is high: it is easy to appear a stable state for a long time, that is, the detected data remains at the same value for a long time;

[0009] (1) The amount of encoded data is not much different from the original data, and the compression effect is not obvious

[0010] (2) Compression needs to reach the specified amount of data, and the data received in real time cannot be compressed

[0011] (3) For the query and analysis of data, the decompression process needs to be carried out first, which increases the amount of calculation

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