A node high-availability method and system based on a control and protection digital twin platform

CN122332094APending Publication Date: 2026-07-03NR ELECTRIC CO LTD +1
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Patent Information

Application Number
CN202610345446.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-20
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In large-scale simulations based on Kubernetes and diverse containerized deployment environments for control and protection digital twin models, network latency sensitivity, uneven resource utilization, and high scheduling complexity lead to reduced simulation real-time performance and accuracy, low resource utilization, and difficulty in achieving optimal overall performance.

Method used

A collaborative scheduling system is constructed. Through scheduling unit identification, resource elastic computing, and topology awareness, the resource usage of scheduling units is dynamically adjusted and deployed to the best physical nodes to achieve overall scheduling of strongly correlated digital twin container groups.

Benefits of technology

It reduced network communication latency, improved resource utilization efficiency, ensured data storage security, enhanced overall system availability, and solved scheduling challenges in large-scale simulation scenarios.

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Abstract

This invention discloses a method and system for high node availability based on a control and protection digital twin platform. The method includes: identifying the type of each scheduling unit; dynamically scaling up and down the resource usage of each scheduling unit according to its type; wherein the types of scheduling units include abnormal units, resource-insufficient units, and low-activity units; obtaining the optimal physical node based on the resource status of each physical node in the Kubernetes container platform; and deploying all scheduling units to the optimal physical node according to the dynamically scaled resource usage. This invention achieves the overall identification, perception, and scheduling of strongly correlated digital twin container groups by constructing a collaborative scheduling system, ultimately reducing network communication latency, improving resource utilization efficiency, ensuring data storage security, and enhancing the overall availability of the system.
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