基于数字孪生的智慧园区数据处理方法、装置及系统

By using a decentralized cross-park twin peer-to-peer interconnection architecture and an encrypted internet gateway, combined with an index library generated from the real-time status of the park's twin nodes, and by dynamically filtering and binding sub-tasks, the adaptability problem of cross-node collaborative operation in smart parks is solved, and the stability and resource utilization efficiency of the system are improved.

CN121979638BActive Publication Date: 2026-07-17GUANGZHOU LITENG INTELLIGENT SCI & TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU LITENG INTELLIGENT SCI & TECH CO LTD
Filing Date
2026-01-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the stability and resource utilization efficiency of cross-node collaborative operation in smart parks are difficult to achieve the expected results. This is mainly because the centralized index library cannot adapt to the real-time dynamic changes of each node, the static screening criteria result in insufficient adaptability between nodes and collaborative needs, the global model is difficult to fit the local operating logic, and the sub-task allocation cannot match the real-time status of nodes, resulting in insufficient synchronization adaptability.

Method used

A decentralized cross-campus twin peer-to-peer interconnection architecture and encrypted internet gateway are adopted to generate a cross-campus twin index library. Pre-adaptation processing is performed based on the real-time status of the twin nodes in the campus, collaborative participating nodes are selected, a global optimization model is generated, and encrypted model content fragments are generated through local twin data training and fused. Sub-tasks are dynamically bound and symbiotic calibration and evolution are performed to adjust the task allocation strategy to adapt to real-time changes.

Benefits of technology

It improves the stability and adaptability of cross-node collaborative operation in smart parks. By dynamically matching the real-time status of park nodes, it reduces resource waste and improves the system's collaborative adaptability and execution efficiency.

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Abstract

本发明提供一种基于数字孪生的智慧园区数据处理方法、装置及系统，通过接收各园区孪生节点传输的能力自声明数据与资源自上报数据，生成跨园区孪生索引库，筛选协同参与节点以下发加密初始模型内容，根据反馈融合得到全局优化模型，梳理多个子任务执行要求及依赖关系，将各子任务与协同参与节点的孪生状态进行动态绑定，生成子任务分配清单及数据交互规范，共生校准与演进后，驱动各协同参与节点执行对应子任务，获取实时运行数据及结果数据并进行整合分析，生成优化效果数据集，加密处理后，驱动全局优化模型与各协同参与节点孪生状态的双向演进，生成全局优化模型及任务分配策略。本发明可以提升智慧园区跨节点协同运行的稳定性与适配性。
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Citation Information

Patent Citations

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  • Digital twin task scheduling system and method for multi-machine cooperation

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