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Accurate periodic detection method and system and storage medium

A detection method and a periodic technology, applied to pattern recognition in signals, instruments, calculations, etc., can solve problems such as inaccurate predictions, and achieve the effect of improving calculation accuracy

Pending Publication Date: 2022-05-27
SUN YAT SEN UNIV
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Problems solved by technology

Periodicity detection is an important task in time series processing, and plays a vital role in time series applications such as classification, clustering, and scheduling. However, current time series periodicity prediction methods are often affected by outliers. and noise interference, resulting in a large number of inaccurate prediction results

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  • Accurate periodic detection method and system and storage medium
  • Accurate periodic detection method and system and storage medium
  • Accurate periodic detection method and system and storage medium

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Embodiment Construction

[0052] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The numbers of the steps in the following embodiments are only set for the convenience of description, and the sequence between the steps is not limited in any way, and the execution sequence of each step in the embodiments can be adapted according to the understanding of those skilled in the art Sexual adjustment.

[0053] The present invention utilizes the precise period prediction method based on the frequency-time joint domain, through discrete wavelet transform (DWT), retains the original frequency domain information while removing high-frequency noise, and then calculates the candidate period through autocorrelation function calculation (ACF), which can It improves the accuracy of the forecast results without reducing the forecast efficiency.

[0054] refer to figure 1 , the present invention provides an accurate periodic detectio...

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Abstract

The invention discloses an accurate periodic detection method and system and a storage medium, and the method comprises the steps: carrying out the preprocessing of a captured time sequence based on an abnormal point removal method, and obtaining a preprocessed time sequence; discrete wavelet transform de-noising processing is carried out on the preprocessed time sequence to obtain de-noised time sequences of different levels; carrying out self-correlation function calculation on the denoising time sequences of different levels to obtain candidate period values; and performing periodic verification calculation on the candidate period value in combination with historical data to obtain a final period value. The system comprises a first data acquisition module, a second data acquisition module, a third data acquisition module and a final data acquisition module. By using the method and the device, the accuracy of a prediction result can be improved while the prediction efficiency is not reduced. The accurate periodic detection method and system and the storage medium can be widely applied to the technical field of computer data processing.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to an accurate periodic detection method, system and storage medium. Background technique [0002] With the explosive growth of data scale and applications, cloud computing has become a fast and effective solution. In the process of tenants using cloud computing services, a large number of time series are generated. Due to the large number of periodic behaviors in the behavior of tenants, the time series also contains periodic information. Periodic detection is an important task in time series processing, and plays a crucial role in the application of time series such as classification, clustering, and scheduling. However, the current periodic prediction method of time series is often affected by abnormal points and noise interference, resulting in a large number of inaccurate predictions. SUMMARY OF THE INVENTION [0003] In order to solve the above technical ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 韩宇潇陈志广卢宇彤
Owner SUN YAT SEN UNIV
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