Anomaly detection method and device, computer equipment and medium
An anomaly detection and computer program technology, applied in the field of anomaly detection, can solve the problems of low operating efficiency of anomaly detection models
Active Publication Date: 2021-05-07
BEIJING REALAI TECH CO LTD
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[0003] In view of this, the purpose of this application is to provide a method, device, computer equipment and medium for anomaly detection, which is used to solve the problem of low operating efficiency of equipment anomaly detection models in the prior art
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[0042]In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without ...
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The invention provides an anomaly detection method and device, computer equipment and medium. The method comprises the steps of obtaining a training sample set used for training; for each training sample, inputting a historical monitoring time sequence data set in the training sample into a to-be-trained stack-shared variational auto-encoder model to obtain a historical reference time sequence data set, utilizing the difference between each piece of historical monitoring time sequence data in the historical monitoring time sequence data set and historical reference time sequence data of a corresponding channel in the historical reference time sequence data set to train a to-be-trained stack-shared variational auto-encoder model; inputting monitoring time sequence data acquired from target equipment into the trained stack-shared variational auto-encoder model to obtain reference time sequence data; determining the abnormal condition of the target equipment according to the difference between each piece of monitoring time sequence data and the corresponding reference time sequence data; and sending abnormal alarm information according to the abnormal condition of the target equipment.
Description
technical field [0001] The present application relates to the field of data processing, in particular, to a method, device, computer equipment and media for anomaly detection. Background technique [0002] In contemporary society, with the advancement of science, machinery and equipment, computer systems, etc. are widely used in people's production and life, which greatly liberates productivity and improves production efficiency in all aspects of life. Common equipment includes wind turbines, dams, computing clusters, etc. in industrial production scenarios. These equipment are not eternal, and wear and tear, parts damage, and program crashes will occur during long-term work. Contents of the invention [0003] In view of this, the purpose of this application is to provide a method, device, computer equipment and medium for anomaly detection, which are used to solve the problem of low operating efficiency of equipment anomaly detection models in the prior art. [0004] In ...
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Login to View More IPC IPC(8): G06K9/62G06F16/903
CPCG06F16/903G06F18/29G06F18/214
Inventor 不公告发明人
Owner BEIJING REALAI TECH CO LTD