Abnormality detection method, abnormality detection device, electronic equipment and storage medium
By obtaining various state data of the terminal device and inputting it into the abnormality detection model, accurately assessing whether there are abnormalities in the device and determining abnormal applications based on the resource usage, the power consumption problem caused by abnormal applications in the terminal device is solved and the user experience is improved .
CN119179618APending Publication Date: 2024-12-24GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD +1
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Patent Information
- Application Number
- CN202310751029.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-21
- Publication Date
- 2024-12-24
AI Technical Summary
Technical Problem
Abnormal applications in terminal devices may frequently occupy CPU and communication module resources, resulting in reduced additional power consumption and battery life, and an accurate abnormality detection method is required to handle it in a timely manner.
Method used
By obtaining various device status data, input it into a preset abnormality detection model for detection, output detection results to determine whether there is an abnormality, and determine the abnormal application based on the resource usage when there is an abnormality.
Benefits of technology
It improves the accuracy of abnormal detection, reduces the chance of misjudgment, reduces the power consumption of terminal devices, and extends battery life.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN119179618A_ABST
Abstract
The invention discloses an anomaly detection method, an anomaly detection device, electronic equipment and a nonvolatile computer readable storage medium. The anomaly detection method comprises the following steps: acquiring equipment state data, wherein the equipment state data comprises multiple types; inputting the equipment state data to a preset anomaly detection model to output a detection result, the detection result including presence or absence of anomaly; and determining the abnormal application according to the resource usage amount under the condition that the abnormality exists. Whether the equipment is abnormal or not is evaluated more accurately through the various equipment state data, and the abnormal application is determined according to the resource usage amount under the condition that the equipment state data is abnormal, so that compared with the mode that the abnormal application is determined directly according to the resource usage amount without detecting the equipment abnormality, the misjudgment probability is greatly reduced, and the efficiency is improved. The user experience can be improved.
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