Automatic detection method and system for traffic abnormalities, storage medium, and electronic equipment

Abstract

The invention discloses a telephone traffic exception automatic detection method and system, a storage medium and an electronic device. The telephone traffic exception automatic detection method comprises the following steps of obtaining historical data of telephone traffic in a first time period away from a current detection point; according to the historical data in the first time period, selecting a time dimension of data aggregation; classifying the historical data of the telephone traffic in the first time period; obtaining historical data of the telephone traffic in a second time periodaway from the current detection point; according to the selected time dimension, aggregating the historical data in the second time period, and performing segmentation to form multiple time slices; calculating an upper limit value and a lower limit value of threshold detection of each time slice through Gaussian distribution; calculating an upper limit value and a lower limit value of change ratedetection of each time slice through the Gaussian distribution; and performing the threshold detection and the change rate detection on the current detection point, if any detection result is exceptional, performing trend detection, and if the trend detection is exceptional, giving an alarm.

Description

technical field [0001] The invention relates to an automatic detection method for traffic abnormalities, a system thereof, a storage medium and electronic equipment. Background technique [0002] Existing call centers have a large amount of real-time traffic data every day, and these real-time data need to be detected and monitored to ensure that the business of the call center can run normally. [0003] At present, threshold alarms and trend alarms are usually used to detect traffic anomalies. Although the problem of manually setting alarm rules is solved to a certain extent, there are still some defects. For example, the threshold alarm is an alarm after detection based on the threshold calculated by historical data. During holidays, the traffic volume is often higher than that on weekdays. In fact, the trend of these traffic volumes has not changed much, which is a normal situation, which leads to a large number of false alarms. In order to solve this problem, although ...

AI Technical Summary

Problems solved by technology

However, the randomness of the traffic volume is very strong. This method of trend alarm detection can only produce good detection results for data with certain regularity, but it is powerless for irregular data.

However, irregular data accounts for the majority of the actual traffic generated, so it still leads to a large number of false alarms, which has a relatively large negative impact on the operation and maintenance work.

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