A communication data acquisition quality control method and system based on anomaly detection

The communication data acquisition quality control method, which employs multi-dimensional anomaly detection and logical consistency verification, solves the problem of low anomaly detection coverage in traditional quality control methods, and achieves efficient and accurate communication data acquisition quality control.

CN122457518APending Publication Date: 2026-07-24XIAN YUNDUAN SHUJU INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN YUNDUAN SHUJU INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2026-05-12
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Traditional communication data acquisition quality control methods rely on static rule matching, which cannot achieve multi-dimensional logical consistency verification. This results in low anomaly detection coverage and accuracy, and is prone to missing or misjudging abnormal data, making them unsuitable for high-speed communication data acquisition application scenarios.

Method used

The communication data acquisition quality control method based on anomaly detection generates a comprehensive anomaly score by comparing real-time behavioral features with historical behavioral profiles from multiple dimensions. It also generates behavioral anomaly and content anomaly tags by combining temporal logic with logical consistency verification of related data sources, and finally determines the quality control result.

Benefits of technology

It has achieved fully automated quality control, improved the accuracy and coverage of anomaly detection, reduced the probability of missed or false positives, and ensured the standardization and reliability of collected data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of data communication, and discloses a communication data acquisition quality control method and system based on abnormality detection, which comprises the following steps: comparing the real-time behavior characteristics of a communication request sent to a data source with corresponding historical behavior profiles in multiple dimensions, and generating a comprehensive abnormality score based on the behavior deviation of each dimension; when the comprehensive abnormality score exceeds a preset dynamic abnormality threshold, marking the communication request as first-class abnormal data and generating a behavior abnormality mark; when the comprehensive abnormality score does not exceed the preset dynamic abnormality threshold, checking the logical consistency between the communication request and a to-be-inspected data item at the previous moment of the same data source and between the communication request and to-be-inspected data items of other associated data sources; when the logical association checking result is abnormal, generating a content abnormality mark; and aggregating the behavior abnormality mark and the content abnormality mark to obtain a final quality control result; and the application can improve the efficiency of communication data acquisition quality control based on abnormality detection.
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