Self-adaptive optimization method and system for log analysis based on swarm intelligence

Through the adaptive optimization method of log analysis based on group intelligence, using deep neural networks and agent analysis unit clusters, the problem of log analysis efficiency and accuracy in the existing technology cannot be continuously optimized, and efficient, stable and adaptive log analysis capabilities are achieved.

CN119645778AActive Publication Date: 2025-03-18北京科杰科技有限公司
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Patent Information

Application Number
CN202510176932.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-18
Publication Date
2025-03-18
Estimated Expiration
2045-02-18

AI Technical Summary

Technical Problem

The existing log analysis methods lack adaptive optimization mechanisms and are difficult to dynamically adjust the analysis strategy, resulting in the inability to continuously optimize the parsing efficiency and accuracy. The traditional single analytical model cannot fully utilize distributed computing resources, and there are performance bottlenecks.

Method used

Adaptive optimization method for log analysis based on group intelligence is adopted, log features are extracted through deep neural networks, layered analysis networks are built and intelligent analysis unit clusters are deployed, and the optimal analysis scheme is calculated and allocated by dynamic task allocation algorithms and group collaborative networks are used to realize the calculation and allocation of the optimal analysis scheme, and the analysis strategy is dynamically adjusted.

Benefits of technology

It significantly improves the operation efficiency and parallel processing capabilities of log analysis, ensures the stability and reliability of the analysis process, improves the accuracy of log analysis, and has adaptive optimization capabilities to adapt to the log characteristics of different types of databases.

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Abstract

The invention provides a log analysis adaptive optimization method and system based on swarm intelligence, and relates to the technical field of log analysis, and the method comprises the steps: obtaining a database log, and carrying out the feature extraction to generate a multi-dimensional feature matrix; constructing a hierarchical analysis network and deploying an agent analysis unit cluster with a self-learning capability; the agent analysis unit executes an analysis task through a feature recognition module, a parallel computing engine and a decision optimizer; constructing a multi-target evaluation model based on the performance evaluation indexes; and generating an optimization strategy set by adopting a self-adaptive evolution model and updating the optimization strategy set to the analysis network. According to the invention, the accuracy and efficiency of log analysis are improved, and the self-adaptive capability of the system is enhanced.
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