A method and device for storing time series data based on frequency domain features

Abstract

The present invention provides a method and device for storing time-series data based on frequency domain features. The method includes dividing time-series data to be stored into a plurality of datapoint sets, wherein each data point set includes a plurality of continuous data points and each data point includes a timestamp and a data value; for any data point set, obtaining a frequency domain feature value corresponding to any data point set according to the data value and timestamp of each data point in any data point set; and sequentially storing the frequency domain feature value corresponding to each data point set. Therefore, the time series data is converted into frequency domain features for storage, and a way to use the frequency domain features of the time-series data to storethe data is achieved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more particularly, to a method and device for storing time series data based on frequency domain features. Background technique [0002] At present, with the development of more IoT and sensor networks, the collection, storage and query of time series data is becoming more and more important. Sensors continuously generate a large amount of data at a high speed, and the finite or unbounded sequence collection formed by these data points increasing with time is called time series. Due to the huge amount of time series data, how to efficiently encode and how to better query the characteristics of time series data becomes very important. [0003] Time series data (referred to as time series data for short) is a series of data values ​​with time stamps, arranged in ascending order according to time, and from the same target, such as sensor data values, each data value and the time...

AI Technical Summary

Problems solved by technology

[0004] Due to the large amount of time series data and their similarity, the characteristics of time series data are not prominent when stored in the time domain, which is not suitable for effective query, and the frequency domain characteristics of time series data are time series data In some applications, the frequency domain characteristics of time series data are more suitable for data query, but there is currently no way to use the frequency domain characteristics of time series data to store

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