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Anomaly detection method, device, computer-readable storage medium, and electronic device

An anomaly detection, computer program technology, applied in the field of anomaly detection, can solve the problem of undetectable data detection and other problems

Active Publication Date: 2020-11-03
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in this method, it is impossible to use known anomalies to detect the data to be detected

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  • Anomaly detection method, device, computer-readable storage medium, and electronic device
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  • Anomaly detection method, device, computer-readable storage medium, and electronic device

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Embodiment Construction

[0058] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0059] figure 1 As shown, is a flowchart of an anomaly detection method provided according to an embodiment of the present disclosure. Such as figure 1 As shown, the method includes:

[0060] In S11, the data in the period to be detected is sampled to obtain target sampling point data.

[0061] Wherein, the data in the period to be detected can be sampled at preset time intervals. For example, the period to be detected can be 1 hour, and the preset time interval is 1 minute. Then 60 target sampling points can be obtained in the period to be detected. data.

[0062] In S12, the data of the target sampling point is divided into buckets according to the pre...

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Abstract

The present disclosure relates to an anomaly detection method, device, computer-readable storage medium, and electronic equipment. The method includes: sampling data within a period to be detected to obtain target sampling point data; and dividing the target sampling point data into buckets according to preset According to the bucketing vector corresponding to the cycle to be detected and the bucketing vector corresponding to the known abnormal cycle, determine the target parameter between the cycle to be detected and the abnormal cycle , where the target parameter is used to characterize the similarity between the period to be detected and the abnormal period, and the bucketing vector corresponding to the abnormal period is determined by bucketing the sampling point data in the abnormal period according to the preset number of buckets , and the duration of the period to be detected is the same as that of the abnormal period; according to the target parameters, an abnormality detection result for the period to be detected is obtained. Therefore, the efficiency and accuracy of anomaly detection can be effectively improved, and user experience can be improved.

Description

technical field [0001] The present disclosure relates to the field of anomaly detection, and in particular, to an anomaly detection method, device, computer-readable storage medium, and electronic equipment. Background technique [0002] The development of information technology has made electronic information management enter more and more industries. However, in the process of electronic information management, abnormal situations are prone to occur, which brings inconvenience to users. Therefore, it is particularly important to detect abnormal situations in time. In the prior art, anomaly detection is usually performed in the following manner: [0003] 1. Based on the way of manually defining the threshold. For example, by setting an abnormal threshold, when the data of the indicator is higher than the abnormal threshold, it is determined that the data of the indicator is abnormal. But in this way, the accuracy and robustness of threshold setting are low. [0004] 2. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411G06F18/22
Inventor 石子凡纪勇
Owner NEUSOFT CORP