Intelligent network operation and maintenance method and system based on performance analysis and large language model

By integrating the large language model with the network application performance analysis system, multi-dimensional indicator analysis and intelligent semantic interaction are realized, which solves the problems of data complexity and positioning difficulty in existing network operation and maintenance, improves operation and maintenance efficiency and accuracy, and supports trend prediction and automatic generation of operation and maintenance reports.

CN120602305APending Publication Date: 2025-09-05BEIJING WANGSHEN TECH CO LTD
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Patent Information

Application Number
CN202510893805.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-30
Publication Date
2025-09-05

AI Technical Summary

Technical Problem

Existing network operation and maintenance methods rely on manual retrieval and fixed rules, resulting in complex data dimensions, difficulty in problem location, lack of intelligent semantic interaction capabilities, inability to provide real-time and accurate warnings, and inability to meet the needs of modern network operation and maintenance.

Method used

The large language model is integrated with the network application performance analysis system to achieve multi-dimensional indicator analysis, semantic question-answering interaction, root cause location and trend prediction. The large language model is used to identify intent and extract keywords, generate structured queries, and combine with the inference rule library to perform indicator analysis and anomaly detection, and automatically generate operation and maintenance reports.

Benefits of technology

It achieves full-link intelligent analysis, supports natural language queries, quickly identifies root causes, predicts future performance bottlenecks, improves operation and maintenance efficiency and fault response capabilities, reduces the workload of operation and maintenance documentation, and transforms to predictive operation and maintenance.

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Abstract

The invention provides an intelligent network operation and maintenance method and system based on performance analysis and a large language model, and belongs to the field of network operation and maintenance. The method comprises the following steps: firstly, embedding a large language model into a network application performance analysis system; performance analysis platform authentication information and an API path are configured, a semantic analysis template, an inference rule base, a graph model and an alarm threshold value are initialized, and a report generation template and a scheduling strategy are configured; receiving an operation and maintenance problem, a query request or a diagnosis demand input by a user in a natural language form; based on a semantic analysis template configured in the large language model, intention recognition and keyword extraction are carried out, a special language DSL in the field of structured query is generated, network application performance analysis is carried out, performance feedback data is obtained, index analysis is carried out, an analysis result is fed back to the large language model, a natural language is generated according to the feedback result, and the natural language is stored in a database. And displaying according to the report generation template. The problem analysis efficiency, the automation degree and the network operation and maintenance efficiency and effect are improved.
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Citation Information

Patent Citations

  • Network operation and maintenance method, device and equipment based on large language model and storage medium

    CN118945047A

  • Intelligent operation and maintenance method and system based on natural language processing technology

    CN119311447A

  • Operation and maintenance question-answering system and method based on large language model workflow

    CN119441410A

  • Natural language-based management of computing resources executing radio access network workloads

    US20240419920A1

Cited By

  • Method and system for enhancing large language model auxiliary network operation and maintenance capability

    CN121960166A