Anomaly detection method and device for operation and maintenance management system, equipment and storage medium

An anomaly detection, operation and maintenance management technology, applied in error detection/correction, electrical digital data processing, instruments, etc., can solve problems such as inability to apply real-time monitoring, large amount of computing data, and low efficiency of anomaly detection

Pending Publication Date: 2020-02-04
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

However, due to the large amount of calculation data in the existing detection methods,

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  • Anomaly detection method and device for operation and maintenance management system, equipment and storage medium
  • Anomaly detection method and device for operation and maintenance management system, equipment and storage medium
  • Anomaly detection method and device for operation and maintenance management system, equipment and storage medium

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[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0027] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0028] It should be understood that the terms used in the specification of this application are for the purpose of ...

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Abstract

The invention relates to the field of system data monitoring, and discloses an anomaly detection method and device of an operation and maintenance management system, equipment and a storage medium. The method comprises: acquiring monitoring data of the operation and maintenance management system, wherein the monitoring data comprise time series data corresponding to multiple detection indexes; classifying the time series data corresponding to the detection indexes according to fast Fourier transform to obtain regularity indexes and non-regularity indexes; detecting the regularity index according to a time sequence anomaly detection algorithm so as to determine whether the regularity index is abnormal or not; and detecting the non-regularity index according to a time period segmentation method to determine whether the non-regularity index is abnormal or not; and carrying out anomaly detection on the operation and maintenance management system.

Description

technical field [0001] The present application relates to the field of data detection, and in particular to an abnormality detection method, device, equipment and storage medium of an operation and maintenance management system. Background technique [0002] At present, in the operation and maintenance management system, as the amount of data continues to increase, the probability of anomalies is also increasing, so anomaly detection is particularly important. Existing detection methods are mainly based on unsupervised learning or statistical algorithms, and deep learning algorithms are also used to detect abnormal data. However, due to the large amount of calculation data in the existing detection methods, the efficiency of abnormal detection is low and cannot be applied to real-time monitoring. [0003] Therefore, how to improve the anomaly detection efficiency of the operation and maintenance management system has become an urgent problem to be solved. Contents of the ...

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Application Information

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IPC IPC(8): G06F11/34G06Q10/00
CPCG06F11/3409G06F11/3452G06Q10/20
Inventor 陈桢博金戈徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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