Power load data compression method and terminal

Abstract

The invention provides a power load data compression method and a terminal. The method comprises the following steps that: a to-be-compressed data set is obtained; the first data is used as reference data of second data, and the difference value between the second data and the first data is calculated, wherein the first data is non-null data which is located in front of the second data in the data set and is closest to the second data; and if the difference value between the second data and the first data is smaller than or equal to a first preset value, the difference value between the second data and the first data is stored to the position, corresponding to the second data, in the compressed sequence according to a first preset data structure, the absolute value of the difference value is a * 10<n>, the first preset data structure comprises a first value, a second value and a third value, the first value is a * 10<n>, the first value is used for representing that the difference value is a positive number or a negative number, the second value is the value of an index n in 10n, the third value is the value of a, and n is a negative integer. The compression speed of the power data can be improved.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method for compressing electric load data and a terminal. Background technique [0002] Data compression refers to reducing the amount of data or reorganizing data through data compression algorithms without losing useful information, reducing data redundancy to reduce storage space, and improving transmission, storage, and processing efficiency. [0003] In the power industry, it is necessary to continuously record power characteristic data such as load curves, voltages, and currents for important loads. Due to the short sampling period of user data, large continuous time span, and large user base, the industry usually uses databases to directly record, which will lead to current The volume of power data is huge, and the storage overhead is huge. The query time span should not be too long, otherwise the query time will be too long, and even cause problems such as...

AI Technical Summary

Problems solved by technology

[0003] In the power industry, it is necessary to continuously record power characteristic data such as load curves, voltages, and currents for important loads. Due to the short sampling period of user data, large continuous time span, and large user base, the industry usually uses databases to directly record, which will lead to current The volume of power data is huge, and the storage overhead is huge. The query time span should not be too long, otherwise the query time will be too long, and even cause problems such as database downtime.

[0004] In order to solve the above problems, the power load data is usually compressed and then stored. However, the existing compression methods for power load data have a low compression rate.

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