Enterprise business process reconstruction model realized through cloud service

Through the collaboration of multiple modules on the cloud service platform, intelligent restructuring and management of enterprise business processes have been achieved, solving the problem of low efficiency in traditional methods, improving the speed of business processing and decision-making efficiency, and reducing operational risks.

CN121745644AInactive Publication Date: 2026-03-27NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Application Number
CN202510385704.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-29
Publication Date
2026-03-27
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional business process reengineering methods are inefficient, struggle to handle multi-source heterogeneous data, and lack real-time dynamic adjustment capabilities, leading to inefficient enterprise decision-making and increased operational risks.

Method used

By adopting a cloud service platform, and through the spatiotemporal aligned data lake module, self-evolving model inference module, process optimization engine module, real-time dynamic adjustment module, and digital twin deployment module, the system integrates, automatically optimizes, and adjusts multi-source heterogeneous data in real time. Combined with deep learning and real-time dynamic adjustment technologies, a closed-loop system is formed.

Benefits of technology

It enables the effective processing and integration of multi-source heterogeneous data, improves the efficiency and effectiveness of business process execution, ensures real-time dynamic adjustment and optimization of processes, reduces the workload of manual intervention and processing, and saves a lot of manpower and time costs.

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Abstract

The invention discloses an enterprise business process reconstruction model realized through cloud service, which belongs to the field of cloud computing and business processes and comprises a space-time alignment data lake module, a self-evolution model reasoning module, a process optimization engine module, a real-time dynamic adjustment module and a digital twinning deployment module. By means of the model, multi-source heterogeneous business data can be effectively processed and integrated, and automatic optimization and reconstruction of the business process are achieved on the basis. Meanwhile, the optimized business process model can be executed in real time by realizing synchronization with a physical execution terminal. In the execution process of the business process, the stability and reliability of the business process are ensured by monitoring and processing abnormal conditions in real time. According to the model, the advantages of cloud services are fully utilized, the efficiency and quality of enterprise business process reconstruction are effectively improved, and a remarkable optimization effect is brought to business management of enterprises.
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