Transaction monitoring method and apparatus, terminal device, and storage medium

CN116668266BActive Publication Date: 2026-07-03CHINA MERCHANTS BANK
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA MERCHANTS BANK
Filing Date
2023-06-21
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In a distributed environment, existing technologies struggle to flexibly handle the classification and statistical analysis of massive transaction flows, resulting in anomalies in specific business areas being flattened by large-scale monitoring data and failing to be detected in a timely manner.

Method used

By loading and parsing transaction log messages, tagging rules and transaction flow are obtained. The transaction log messages are tagged according to the tagging rules, a transaction monitoring view is obtained using a visualization module, and an alarm notification is sent when the preset threshold is exceeded. Statistical and comparative analysis is performed in conjunction with a sliding time window algorithm.

Benefits of technology

It enables timely detection of business anomalies in specific areas, improves the efficiency and accuracy of transaction monitoring, and ensures effective monitoring of transaction operations.

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Abstract

The application discloses a transaction monitoring method and device, a terminal equipment and a storage medium, and relates to the technical field of transaction monitoring. The method comprises the following steps: loading and analyzing a transaction log message, obtaining a marking rule and a transaction flow; marking the transaction log message according to the marking rule and the transaction flow, and obtaining a marked transaction log message; obtaining a transaction monitoring view through a visualization module according to the marked transaction log message; and analyzing the marked transaction log message, and sending an alarm notification if a preset threshold is exceeded. The application solves the problem that the abnormal situation of a subdivided direction cannot be discovered in time due to being flattened by a large range of monitoring data, and improves the efficiency of transaction monitoring.
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