An Abnormal Threshold Judgment Method Based on Broadband Key Quality Indicators

Abstract

The invention discloses an abnormal threshold judgment method based on broadband key quality indicators. First, KQI data of websites are collected and cleaned, and then the abnormal threshold of each measurement value of each website is obtained: calculating a certain KQI measurement corresponding to a certain website for each user The average value of the value forms a list X classified by users, rounds the average value of the KQI measurement value of each user in the list X, arranges the rounded values ​​from small to large, and counts each rounded value The number of users corresponding to the value forms a list Y, locates the list Y to the row where the rounded value with the largest number of users is located, starts traversing the list Y from this row along the direction in which the rounded value increases, and calculates the current traversal position ROC and ROC_NEXT; when ROC>=0 and ROC_NEXT>=0, the rounded value of the list Y corresponding to the current traversal position i is the abnormal threshold of the measurement value of the website. The invention can intelligently determine abnormal thresholds according to different websites, and can be widely used in active early warning of broadband perception abnormalities.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an abnormal threshold judgment method based on broadband key quality indicators. Background technique [0002] The analysis and application of broadband key business quality indicators is currently mainly aimed at single-dimensional single indicators. The single general indicators of delay, continuity, and jitter of business service performance characteristics are divided by average or sampling thresholds. The judgment threshold of key performance indicators can be divided into obvious abnormality, slight abnormality and obvious normal, etc. According to the classification, the threshold is relatively fixed, which has the disadvantage of poor adaptability. It is used for obstacle positioning with large fluctuations, and cannot support the effective and accurate adaptation of different types of websites. Judgment and comprehensive obstacle location. Contents of the invent...

AI Technical Summary

Problems solved by technology

[0002] The analysis and application of broadband key business quality indicators is currently mainly aimed at single-dimensional single indicators, and the single general indicators of delay, continuity, and jitter of business service performance characteristics are divided by average or sampling thresholds. The judgment threshold of key performance indicators can be divided into obvious abnormality, slight abnormality and obvious normal, etc. According to the classification, the threshold is relatively fixed, which has the disadvantage of poor adaptability. It is used for obstacle positioning with large fluctuations, and cannot support the effective and accurate adaptation of different types of websites. Judgment and Synthetic Obstacle Location

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