A method and device for detecting abnormality of equipment
A technology for detecting equipment and abnormalities, applied in the computer field, can solve the problems of high labor cost and easy misjudgment.
Active Publication Date: 2021-03-12
NEW H3C SECURITY TECH CO LTD
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Problems solved by technology
[0004] However, the labor cost of the above scheme is high, and misjudgment is prone to occur
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[0046] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the 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.
[0047] The embodiment of the present application provides a method for detecting device abnormality, which can be applied to an operation and maintenance server, and the operation and maintenance server can be used to detect the operation status of each device in the network, for example, can detect the operation status of each service server. Such as figure 1 As shown, it is a schematic diagram of a network system provided by an embodiment of the present application. The network sy...
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The embodiment of the invention provides a method and device for detecting equipment exception, and relates to the technical field of computers. The method comprises the following steps: obtaining a plurality of sample feature vectors of target equipment belonging to the same equipment type; for each negative sample feature vector, determining a positive sample feature vector which satisfies a preset space-time correlation degree condition with the negative sample feature vector, and forming a training sample set by the negative sample feature vector and the determined positive sample featurevector; training the initial neural network model through the training sample set to obtain an exception detection model corresponding to the target equipment; and when the to-be-detected feature vector of any target device is obtained, inputting the to-be-detected feature vector into the exception detection model to obtain an exception detection result of the target device, the to-be-detected feature vector being composed of a plurality of operation indexes of any target device collected at the same sampling time point. By adopting the method, the exception detection accuracy of the equipmentcan be improved.
Description
technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for detecting abnormality of equipment. Background technique [0002] With the development of Internet technology, network services have penetrated into all fields of society, and people can use the Internet for searching, shopping, payment, entertainment and so on. Therefore, it is more and more important to ensure the stability of the operation of the network equipment in the network. [0003] The operating status of network devices can be reflected by various operating indicators, such as cpu occupancy rate, memory occupancy rate, data access volume, data access time, etc. In related technologies, an operation and maintenance server may be set in the network, and the operation and maintenance server may collect and display various operation indicators of network devices. For example, it can be displayed in the form of a line chart. In this wa...
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IPC IPC(8): H04L12/26H04L12/24
CPCH04L41/145H04L43/08H04L43/0817H04L43/16
Inventor 孙尚勇
Owner NEW H3C SECURITY TECH CO LTD