Industrial-grade industry and financial fusion method and system based on project management, and storage medium

By constructing a dynamic business-finance integration model in project management, and using state transition matrices and Monte Carlo simulations for quantitative prediction and risk assessment, the problem of real-time quantitative prediction and in-depth risk warning in existing technologies is solved, thereby improving the foresight and intelligence level of project management.

CN121414293APending Publication Date: 2026-01-27JIANGSU HUANXUN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202511489910.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-17
Publication Date
2026-01-27

AI Technical Summary

Technical Problem

Existing technologies lack precise modeling methods for the dynamic causal relationship between business and financial status in industrial-level project management, making it difficult to achieve real-time quantitative forecasting and in-depth structural risk warning, and thus unable to effectively guide project management.

Method used

By acquiring multi-source heterogeneous data, mapping it to business and financial entities, establishing a dynamic weighted directed graph and generating a state transition matrix, using Monte Carlo simulation and spectral radius analysis to predict future financial indicators and assess risks, generating intelligent decision-making solutions, and achieving closed-loop adaptive operation.

Benefits of technology

It enables forward-looking and quantitative forecasting of future financial indicators for projects, allows for early identification of structural risks, provides robust decision-making solutions, and enhances the initiative and accuracy of project management.

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Abstract

The invention relates to the technical field of computer data processing and project management, and discloses an industrial-grade business and financial fusion method and system based on project management and a storage medium, and the method comprises the following steps: S1, obtaining multi-source heterogeneous data in a project, and mapping the data into business and financial entities; s2, abstracting the state of the business and financial entity into a system state vector, and establishing a state transition matrix for defining a time evolution rule of the system state vector; s3, performing prediction or risk analysis on future financial indexes of the project based on evolution of the system state vector driven by the state transition matrix; and S4, according to the prediction or risk analysis result, generating a decision scheme for intervening the project execution, the real-time business operation of the project and the financial state change are deeply fused, and through establishing the dynamic state space evolution model, the prospective and quantitative prediction of future financial indexes of the project is realized.
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