Machine learning based intelligent auditing and anomaly detection method and system for financial vouchers

By locating the target attribution feature dimension of abnormal states in the machine learning model and redirecting it to a dedicated review routing channel, the problem of system resource congestion caused by missing data dimensions is solved, and efficient and intelligent review of financial vouchers is achieved.

CN122415246APending Publication Date: 2026-07-17BASECAMP DATA SERVICES GROUP CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BASECAMP DATA SERVICES GROUP CO LTD
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the lack of data dimensions leads to abnormal output judgments from machine learning models, triggering default interception processes that continuously suspend processing threads, causing system computing resource congestion and affecting processing continuity.

Method used

By extracting multi-dimensional features from the financial vouchers to be processed, a basic voucher feature vector is generated. Inference calculations are then performed in the machine learning audit model to locate the target attribution feature dimension that causes the abnormal state. The default interception process is blocked, and the process is redirected to a dedicated review routing channel to capture supplementary supporting data for supplementary verification. Finally, the final audit status is output.

Benefits of technology

It enables automated capture and supplementation of external data under abnormal conditions, reduces the passive suspension of processing threads, alleviates computing resource congestion, and maintains the smoothness of computer processing concurrent audit tasks.

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Abstract

本发明提供基于机器学习的财务凭证智能审核与异常检测方法及系统,涉及计算机数据处理技术领域,其中方法包括:获取待处理财务凭证并提取多维特征,生成基础凭证特征向量;将该向量输入机器学习审核模型执行推理计算,输出初始异常审核结果;若结果指示异常状态,则截获该模型输出的关联权重参数矩阵,对其解析定位引发异常状态的目标归因特征维度;根据目标归因特征维度在预设网络中匹配专属复核路由通道;阻断默认拦截进程,将复核请求重定向发送至专属复核路由通道定向抓取补充佐证数据;融合数据执行补充校验并输出最终状态。本发明主动重构了异常情况下的复核数据流转路径,缓解了底层计算资源拥堵现象。
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