A risk dynamic early warning system and method applied to a bill platform

By constructing a multi-dimensional feature system and risk benchmark database, we can uncover the potential risk patterns of the bill platform, dynamically optimize early warning strategies, solve the problem of insufficient risk monitoring in existing technologies, and achieve accurate identification and intelligent early warning of bill risks.

CN121390911BActive Publication Date: 2026-06-05上海市大数据中心
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
上海市大数据中心
Filing Date
2025-12-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing bill platforms are inadequate in risk monitoring and early warning, failing to effectively analyze historical data and lacking data-driven decision support, resulting in a low level of intelligent risk warning.

Method used

By collecting full business data of invoices and historical anomaly warning records, a multi-dimensional feature system is constructed to explore potential risk patterns, calculate risk correlation coefficients, establish a risk level judgment model, and dynamically optimize risk warning strategies.

Benefits of technology

It has achieved comprehensive and accurate identification and forward-looking early warning of bill risks, improved the intelligence level of risk early warning and the accuracy of early warning strategies, and enhanced the system's adaptability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of risk dynamic early warning system and method applied to bill platform, it is related to bill risk management technical field, this method includes: collecting bill full-volume business data and historical abnormal early warning record data, constructs multidimensional feature system;According to feature system, the category of bill is divided and risk benchmark library is established, potential risk law is mined, and risk correlation coefficient is calculated;According to feature deviation, establish risk grade determination model, divide risk grade and match early warning strategy;Real-time monitoring early warning strategy execution process and result, dynamically optimize risk benchmark library parameter and early warning strategy.The application can mine risk law from historical data, realize the accurate, dynamic, forward-looking early warning to bill risk, improve the automation level and risk prevention and control ability of bill audit.
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Citation Information

Patent Citations

  • Tax number data intelligent monitoring system based on tax compliance

    CN118761849A

  • Electronic bill data management system and method based on artificial intelligence

    CN119205383A