An intelligent management method for information system integration project

By combining global dynamic resource state tensors and topological sorting rules with particle swarm optimization algorithms, the problem of execution disturbance under dynamic nonlinear characteristics in information system integration projects is solved, achieving seamless fine-tuning with low computing power cost and the generation of manageable control instructions.

CN122134058APending Publication Date: 2026-06-02FUZHOU WEIZHENG TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
FUZHOU WEIZHENG TECH CO LTD
Filing Date
2026-04-30
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively handle execution disturbances under dynamic nonlinear characteristics in information system integration project management, resulting in high computing power consumption, delayed instruction issuance, and difficulty in mapping underlying control instructions to physical hard constraints.

Method used

By employing a global dynamic resource state tensor and topological sorting rules, combined with the particle swarm optimization algorithm, a population is generated through time window encoding. Resource overflow prevention and temporal dependency hard constraints are established. Particles are updated using dynamic equations, discretization and boundary repair are performed, a weighted fitness function is constructed, and local chain-like migration or elite memory hot-start mechanism is triggered for adaptive correction.

Benefits of technology

It enables deep physical and logical control over information system integration projects, allowing for seamless fine-tuning in dynamic environments with low computing power costs, ensuring that generated control commands are implementable and adaptable to hardware and software failures and disturbances during execution.

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Abstract

This invention specifically relates to an intelligent management method for information system integration projects, specifically within the field of information system integration project management and scheduling technology. It includes: updating particles based on a dynamic equation containing nonlinear weights and dual acceleration factors, and performing discretization rounding and boundary bounce repair. In this invention, the complex tasks and heterogeneous resources of the integration project are abstracted into a low-level mathematical model, and a global dynamic resource state tensor and strict topological sorting rules are introduced to achieve deep control at both the physical and logical levels. During the optimization decoding stage, a forward push repair operator and a full resource deduction pre-simulation mechanism are embedded to forcibly correct scheduling instructions that violate objective reality, ensuring that the generated control instructions are implementable.
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