A method, device and medium for monitoring usage of a data center network device

By using an interface usage detection model in the inspection robot, combined with a neural network structure with multi-scale features, the problem of low accuracy and recall in detecting abnormal use of data center network equipment interfaces has been solved, enabling accurate monitoring and timely detection of interface usage status.

CN115601700BActive Publication Date: 2025-12-19SHANDONG NEW GENERATION INFORMATION IND TECH RES INST CO LTD
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Patent Information

Application Number
CN202211285869.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-20
Publication Date
2025-12-19
Estimated Expiration
2042-10-20

AI Technical Summary

Technical Problem

The existing data center network equipment abnormal usage behavior detection accuracy and recall rate are not high. In particular, the visual changes of abnormal interface usage are small and there are no clear trace characteristics, making it impossible to detect abnormal interface usage problems in a timely and accurate manner.

Method used

An inspection robot is used to acquire images of the interface in use and input them into a pre-trained interface use detection model along with a pre-set template image. An initial model is constructed by fusing multi-scale features into a neural network structure, generating a detection annotation file and determining the interface use status, including abnormal use status and normal use status.

Benefits of technology

It improves the detection accuracy of interface misuse, can promptly identify interface misuse issues of data center network equipment, and quantitatively displays the visual changes and ambiguous trace characteristics caused by misuse.

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Abstract

The embodiment of the specification discloses a kind of data center network equipment's use monitoring method, equipment and medium, involve artificial intelligence technical field, method includes: obtaining the interface use image that inspection robot is collected at specified inspection task point, and obtain the specified template image corresponding to preset specified inspection task point, specified template image is the image under normal use condition;Interface use image and the specified template image are input into the interface use detection model pre-trained, and the detection annotation file of the same size as interface use image and the specified template image is output, and detection annotation file includes the class identifier of pixel point;The class identifier of each pixel point in detection annotation file is obtained, and the interface use state of network equipment at specified inspection task point is determined according to the class identifier of each pixel point, and the use of data center network equipment is monitored based on interface use state, interface use state includes abnormal use state and normal use state.
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