Anomaly detection method and device, storage medium and electronic equipment

An anomaly detection and equipment technology, applied in the field of information detection, can solve the problem of reporting more invalid information

Active Publication Date: 2019-05-10
NEUSOFT CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of this disclosure is to provide an anomaly detection method, device, storage mediu

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  • Anomaly detection method and device, storage medium and electronic equipment
  • Anomaly detection method and device, storage medium and electronic equipment
  • Anomaly detection method and device, storage medium and electronic equipment

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Embodiment Construction

[0083] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0084] Before introducing the anomaly detection method, device, storage medium and electronic device provided by the present disclosure, the application scenarios involved in the various embodiments of the present disclosure will be introduced first. The application scenario can include the monitored equipment. During the operation of the equipment, the equipment information can be col...

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Abstract

The invention relates to an abnormity detection method, device, a storage medium and electronic equipment, relating to the field of information detection, the method comprises the following steps of:obtaining a first device information sequence of the monitored device in the time window, obtaining a predicted second equipment information sequence, wherein the time window comprises a preset numberof sampling moments; wherein the preset number of sampling moments comprise the current moment; wherein the first equipment information sequence comprises equipment information acquired at each sampling moment in the time window; wherein the second equipment information sequence comprises predicted equipment information at each sampling moment when the monitored equipment is in a normal state, and determining whether the monitored equipment is abnormal or not in the time window according to the first probability distribution of the first equipment information sequence and the second probability distribution of the second equipment information sequence. And whether the monitored equipment is abnormal is determined by combining equipment information before the current moment, so that the effectiveness and accuracy of abnormity detection can be improved.

Description

technical field [0001] The present disclosure relates to the field of information detection, and in particular, to an abnormality detection method, device, storage medium and electronic equipment. Background technique [0002] With the rapid development of information technology and Internet technology, there is a demand for real-time monitoring of equipment in many fields. By collecting data information of equipment and analyzing the data information, it is possible to determine whether the equipment is abnormal. The abnormality of the equipment is usually divided into two categories: the first is temporary abnormality, such as temporary power failure, artificial blockage of the fan, etc., and the second is the failure of the equipment itself, such as the failure of the hard disk on the equipment and the damage of the battery of the equipment. The first type of abnormality can usually be recovered immediately by the user of the device, and will not cause substantial damage ...

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Application Information

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IPC IPC(8): G06F11/30
Inventor 刘颜鹏
Owner NEUSOFT CORP
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