A system exception determination method and device, electronic equipment and storage medium

By obtaining the attribute set of the target log and the encoding information of the log template, a log text vector is generated, which solves the problem of low efficiency in system anomaly determination caused by log template redundancy in the existing technology and achieves more efficient anomaly judgment.

CN115454706BActive Publication Date: 2026-09-04AGRICULTURAL BANK OF CHINA
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Patent Information

Application Number
CN202211268385.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-17
Publication Date
2026-09-04
Estimated Expiration
2042-10-17

AI Technical Summary

Technical Problem

Existing methods for anomaly detection in log systems based on time series models fail to effectively utilize log templates, resulting in a large number of redundant and repetitive statements, which reduces the efficiency of anomaly detection.

Method used

By acquiring the target logs generated during system operation and multiple stored log templates, the attribute set of the target logs and the encoding information of each log template are obtained. Log text vectors are generated using word vectors and position vectors, and attention vectors and preset algorithms are combined to determine whether the system is abnormal.

Benefits of technology

This reduces redundant information, improves the efficiency of system anomaly detection, and enhances the accuracy and speed of judgment.

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Abstract

Embodiments of the present application disclose a system anomaly determination method and device, electronic equipment and a storage medium. The method comprises: obtaining a target log generated in a system running process and a plurality of log templates stored in the system, wherein the target log is generated according to any one of the plurality of log templates; obtaining an attribute set of the target log and encoding information of each log template respectively; determining a log text vector of the target log according to the attribute set and all the encoding information; and determining whether an anomaly occurs in the system according to the log text vector. Embodiments of the present application obtain the target log generated in the system running process and the plurality of log templates stored in the system, then further obtain the attribute set of the target log and the encoding information of each log template, thereby determining the log text vector of the target log, finally realizing the judgment of the system anomaly, reducing the generation of redundant information, and improving the efficiency of determining the system anomaly.
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