Method and apparatus for quality of service differentiation positioning

By receiving abnormal event notifications in real time and combining log parsing models and highly correlated alarm models with a delimitation and location rule base, the problem of low efficiency in delimitation and location due to poor communication network quality is solved, and rapid and accurate location and investigation are achieved.

CN116668262BActive Publication Date: 2026-07-10FUJIAN FUNO MOBILE COMM TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUJIAN FUNO MOBILE COMM TECH CO LTD
Filing Date
2023-05-17
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing communication networks are inefficient in determining the location of faulty equipment, especially when expert experience bases cannot provide conclusions. Manual investigation is time-consuming and labor-intensive, and business operations cannot be quickly restored.

Method used

By receiving real-time notifications of abnormal events, obtaining timestamps and network data, collecting logs and alarm information, using log parsing models and highly correlated alarm models for localization, and combining the localization rule base to generate a poor quality localization conclusion.

Benefits of technology

It improves the accuracy and efficiency of quality defect identification and positioning, reduces the input of manpower and material resources, quickly locates anomalies, and saves investigation time.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a method and device for quality defect boundary positioning of a communication service, the method comprising the following steps: acquiring a time stamp and a network element corresponding to an abnormal event notification in real time, collecting log data and a current network alarm list in a window period, positioning log abnormal points and high-correlation alarms based on a log abnormal positioning model and a high-correlation alarm positioning model, further judging the high-correlation alarms, introducing a boundary positioning rule library to further analyze the log abnormal points and the high-correlation alarms, and obtaining a quality defect boundary positioning conclusion. Therefore, when the abnormal event notification is subjected to quality defect boundary positioning, not only the log data related to the abnormal event notification is acquired, but also the current network alarm list is acquired, and the log abnormal points and the high-correlation alarms are positioned by using corresponding positioning models, the high-correlation alarms are further judged, the boundary positioning rule library is introduced to generate a final quality defect boundary positioning conclusion, and the accuracy and comprehensiveness of the quality defect boundary positioning are improved.
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