一种通信异常智能化诊断方法、装置、电子设备及系统

By performing multi-dimensional data analysis on the communication components of network-attached storage devices, standardized multi-dimensional error codes are generated, solving the problem of inconsistent error code formats in existing technologies and achieving efficient and accurate communication anomaly diagnosis and fault repair.

CN120528757BActive Publication Date: 2026-07-17SHENZHEN GREEN CONNECTION TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN GREEN CONNECTION TECH CO LTD
Filing Date
2025-05-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing network-attached storage devices suffer from inconsistent error code formats and a lack of descriptions during communication anomaly diagnosis, resulting in low diagnostic efficiency, high learning costs, and difficulty in accurately identifying faults.

Method used

By acquiring multi-dimensional fused data from communication components, using a feature extraction model to extract spatiotemporal features, and combining it with a fault analysis algorithm to generate error codes containing multiple fields, including error category, fault main class, fault subclass, and semantic fingerprint, standardized multi-dimensional error code generation is achieved.

Benefits of technology

It improves the efficiency and accuracy of communication anomaly diagnosis, reduces troubleshooting time and complexity, and enhances the maintenance efficiency of communication components.

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Abstract

本发明涉及数据分析技术领域,公开了一种通信异常智能化诊断方法、装置、电子设备及系统,该方法包括:获取第一通信组件对应的多维度融合数据;基于特征提取模型,对多维度融合数据进行时空特征提取,得到时空特征提取结果;基于确定出的故障分析算法,分析时空特征提取结果,得到故障分析结果;根据故障分析结果,生成第一通信组件对应的错误码;错误码由多个字段构成;每个字段用于记载错误类别、故障主类、故障子类和语义指纹中的一种异常信息;语义指纹包括上下文特征编码。可见,实施本发明能够通过构建多维错误码,精准描述所诊断出的通信异常情况,能够在提高错误码的生成精准性的同时,提高设备通信异常的诊断效率及精准性。
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