Time series correlation detection method and device, and storage medium

A time series and detection method technology, applied in the field of communication, can solve the problems of inability to accurately detect time series correlation, time series correlation lag, etc.

Pending Publication Date: 2020-10-30
NEW H3C TECH CO LTD
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Problems solved by technology

[0011] In actual scenarios, the correlation of time series may appear hysteresis, that is, it may appear that the part of time series X from time t to t+a is not correlated / weakly correlated with the part of time series Y from time t to t+a, but it is not related to Y's The part from t+b to t+b+a is strongly correlated, and the existing detection methods cannot accurately detect the correlation of such time series

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  • Time series correlation detection method and device, and storage medium
  • Time series correlation detection method and device, and storage medium
  • Time series correlation detection method and device, and storage medium

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Embodiment Construction

[0036] Terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, not limiting the embodiments of the present disclosure. As used in the examples and claims of the present disclosure, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. As used herein, the term "and / or" is meant to include any and all possible combinations of one or more of the associated listed items.

[0037] It should be understood that although the embodiments of the present disclosure may use the terms first, second, third, etc. to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the embodiments of the present disclosure, first information may also be called second information, and similarly, second...

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Abstract

The invention provides a time series correlation detection method and device and a storage medium. According to the invention, the method includes using a sliding window for carrying out moving average processing on two time sequences; obtaining two smooth time sequences; and then respectively carrying out loop iteration on the two smooth time sequences to execute an interleaving translation correlation calculation processing step, and then determining the maximum value in the interleaving correlation coefficients calculated in the interleaving translation correlation calculation processing step as two time sequence correlation coefficients so as to determine the correlation of the two sequences. According to the invention, a sliding window method is used for being matched with the maximuminterleaving correlation coefficient obtained in the interleaving translation correlation calculation processing step, and the correlation between time sequences with peak shifting correlation can bedetected. And the influence of the noise of the time sequence on the maximum cross mutual information coefficient is greatly reduced by using a sliding average method.

Description

technical field [0001] The present disclosure relates to the communication field, and in particular to a time series correlation detection method, device and storage medium. Background technique [0002] A time series is a sequence of data points arranged in chronological order. Time series are widely used in signal processing, pattern recognition, weather forecast, earthquake prediction, EEG, control engineering, aeronautics, communication engineering, and most applied sciences and engineering involving time data measurement. In the network intelligent operation and maintenance system, common indicators, such as device CPU usage, device temperature, uplink and downlink data traffic on Access Control (AC) nodes, device packet loss rate, etc., are arranged sequentially over time The index data all belong to the time series, and the analysis model of the time series can be used to grasp the change rules of these indicators, so as to realize the purpose of predicting the futur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06K9/00
CPCG06F16/2474G06F2218/04G06F2218/08
Inventor 谢江轩
Owner NEW H3C TECH CO LTD
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