An application exception root cause positioning method based on multi-level operation situation awareness

By employing a multi-layered operational situational awareness method, this technology acquires and processes multi-level indicator data, calculates situational values ​​and correlation rules, and accurately identifies the core root causes of software application anomalies. This solves the problems of low positioning efficiency and misjudgment/missed judgment in existing technologies. It is applicable to both traditional and cloud service architectures and provides rapid positioning and early warning functions.

CN122152586APending Publication Date: 2026-06-05CHANGSHA SKERUI ELECTRONIC TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGSHA SKERUI ELECTRONIC TECHNOLOGY CO LTD
Filing Date
2026-05-08
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies suffer from low efficiency, numerous false positives and false negatives, and inability to adapt to complex architectures when locating the root cause of software application anomalies, making it difficult to meet the needs of rapid anomaly handling and ensuring business continuity.

Method used

A multi-level operational situation awareness method is adopted to acquire multi-level indicator data, perform preprocessing and standardized feature extraction, calculate situation values ​​through sliding window and mine association rules to determine the importance of abnormal candidate root causes, and finally determine the core root cause.

Benefits of technology

It enables accurate identification of anomaly levels and characteristics, reduces the probability of root cause misjudgment and missed judgment, improves positioning efficiency, adapts to traditional and cloud service architectures, provides standardized reporting and early warning functions, and ensures business continuity.

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Abstract

The application discloses a kind of based on multilevel running situation awareness application exception root cause positioning method, comprising: the data of the multiple hierarchical index of abnormal application in preset period is obtained, and is preprocessed, and abnormal index is proposed;The multiple hierarchical level includes the container layer of abnormal application, support service layer, hardware layer and itself application layer;The level situation value and global situation value of each hierarchical level index data in each sliding window are calculated;Whether each hierarchical level is abnormal according to the level situation value of all sliding windows in whole period;Each index of abnormal hierarchical level is regarded as abnormal candidate root cause, the association rule support and association rule confidence of each abnormal candidate root cause are calculated respectively with abnormal index, and then the importance of each abnormal candidate root cause is calculated, and finally the core root cause of application exception is determined according to importance.The core root cause of abnormal application can be accurately positioned by the application.
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