Network fault cause analysis method and device
A network failure and analysis method technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of wasting manpower, unable to meet the requirements of daily maintenance work, etc., achieve less resource consumption, enhance core competitiveness, and improve The effect of user experience
Active Publication Date: 2020-02-28
CHINA UNITECHS
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[0003] In order to solve the defect that the existing technology mainly relies on manual determination of the cause of network failure, which wastes manpower and cannot meet the requirements of daily maintenance work, the first aspect of the present invention provides a method for analyzing the cause of network failure, including:
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[0044] In order to make the technical features and effects of the present invention more obvious, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings. The present invention can also be described or implemented in other different specific examples. The equivalent transformations done within all belong to the protection category of the present invention.
[0045] In the description of this specification, descriptions with reference to the terms "an embodiment", "a specific embodiment", "some embodiments", "for example" and the like mean specific features, structures or characteristics described in connection with the embodiment or example Included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the described specific features, structures or characteristics m...
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The invention provides a network fault cause analysis method and device. The method comprises the steps that multiple sets of network equipment information are collected in advance according to a machine learning hidden danger sample library, the machine learning hidden danger sample library comprises hidden danger categories and root cause attributes of network equipment, and each set of networkequipment information comprises the root cause attributes of the hidden danger categories and network fault results; determining a hidden danger event association relationship by utilizing a decisiontree algorithm according to multiple groups of pre-collected network equipment information; and acquiring network equipment information in real time, and determining whether a network fault occurs ornot and root cause information when the network fault occurs by utilizing the hidden danger event association relationship. According to the invention, the network fault cause analysis can be automatically realized, and the efficiency of the network fault cause analysis is improved.
Description
technical field [0001] The invention relates to the field of network failure analysis, in particular to a network failure cause analysis method and device. Background technique [0002] With the increasing virtualization, automation, and intelligence of operators' network equipment, the complexity of the network is increasing exponentially. The service protocols carried by the network equipment are highly complex, flexible, and have various business organization methods. Management and business maintenance have become increasingly complicated and difficult. However, in the prior art, network faults are mainly eliminated manually, which results in that neither the complexity nor the timeliness can meet the requirements of daily maintenance work. Contents of the invention [0003] In order to solve the defect that the existing technology mainly relies on manual determination of the cause of network failure, which wastes manpower and cannot meet the requirements of daily mai...
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IPC IPC(8): H04L12/24
CPCH04L41/0636
Inventor 薛竹
Owner CHINA UNITECHS