Network fault monitoring method, device and electronic equipment
CN117135038BActive Publication Date: 2026-06-26CHINA MOBILE GRP GUANGDONG CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA MOBILE GRP GUANGDONG CO LTD
- Filing Date
- 2022-05-20
- Publication Date
- 2026-06-26
AI Technical Summary
Technical Problem
Existing technologies cannot comprehensively monitor network faults and fail to take into account factors other than application logs in the communication network, resulting in incomplete fault monitoring.
Method used
By acquiring network logs, performing topology analysis and anomaly point analysis, extracting key statements, and combining network topology diagrams and anomaly location information, network fault location information is generated, taking into account multiple dimensions such as network logs, topology, and key statements.
Benefits of technology
It enables multi-faceted monitoring of network faults, quickly locates the topological relationships and anomalies of network devices, and improves the comprehensiveness and accuracy of fault monitoring.
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Smart Images
Figure CN117135038B_ABST
Abstract
The application relates to the technical field of network operation and maintenance, and provides a network fault monitoring method and device and electronic equipment. The method comprises the following steps: acquiring a network log to be analyzed; performing topology photographing on the network log to be analyzed to obtain a network topology relationship graph; performing abnormal point analysis on the network log to be analyzed to obtain abnormal positioning information; extracting key sentences from the network log to be analyzed; generating network fault positioning information based on the network topology relationship graph, the abnormal positioning information and the key sentences; and outputting the network fault positioning information. The technical scheme provided by the embodiment of the application can comprehensively consider factors that may cause network faults from multiple dimensions, and realize multidimensional monitoring of network faults.
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