Multi-level budget intelligent decomposition and execution analysis method and system

By constructing a multi-dimensional organizational capability assessment matrix and collecting real-time data, combined with an intelligent analysis and early warning model, the real-time and reliability issues of traditional budget allocation have been resolved, enabling precise budget decomposition and real-time monitoring, and improving the scientific nature of resource allocation and risk prevention and control capabilities.

CN122243589APending Publication Date: 2026-06-19YULIN YUSHEN IND ZONE JINYANG PHOTOVOLTAIC POWER CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YULIN YUSHEN IND ZONE JINYANG PHOTOVOLTAIC POWER CO LTD
Filing Date
2026-01-30
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Traditional budget allocation methods suffer from poor real-time performance, low reliability, and insufficient coordination, leading to a disconnect between budgets and actual business scenarios, resource misallocation, and lagging execution monitoring.

⚗Method used

By acquiring enterprise resource data, historical project execution data, and market environment data, a multi-dimensional organizational capability assessment matrix is ​​constructed. A business volume prediction and correction model is used to determine the target business volume at each level, and a hierarchical budget is decomposed. Real-time measured execution data is collected for intelligent analysis and early warning. Anomaly detection and root cause tracing are performed by combining the isolated forest algorithm and reinforcement learning model.

🎯Benefits of technology

It achieves precision and real-time budget allocation, reduces resource misallocation, improves the accuracy and response efficiency of anomaly detection, and adapts to the multi-level budget control needs of complex organizations.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention belongs to the field of enterprise resource planning and big data analytics, providing a method and system for multi-level budget intelligent decomposition and execution analysis. The method includes: acquiring enterprise resource data, historical project execution data, and market environment data of the target enterprise; determining target business volumes at each level through business volume prediction and correction based on the enterprise resource data, historical project execution data, and market environment data; generating budget data for each level through hierarchical budget decomposition based on the target business volumes at each level; and collecting measured execution data for each level during execution according to the budget data, and performing intelligent analysis and early warning based on the measured execution data. This solution achieves refined and adaptable allocation from the total budget to the task level, significantly reducing resource mismatch problems caused by traditional allocation models, improving the accuracy and response efficiency of anomaly detection, and reducing enterprise budget management costs.
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