Adaptive Electrical Network Topology for Clock Synchronization
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Solution Overview
Problem
Manual network design in electrical networks is laborious, error-prone, and time-consuming, particularly when adding new elements or expanding the network, leading to suboptimal clock source locations and potential spanning tree loops, which compromise clock synchronization and network performance.
Innovation Solution
An adaptive method and system for arranging network resources that utilize network criteria to generate and optimize network topologies, considering constraints like maximum hops, clock synchronization, and spanning tree loops, allowing for automated design and expansion without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual network design is used, then flexibility in design decisions is maintained, but time consumption and error rate increase significantly
Solution Approach 1:
The system performs preliminary automated analysis of network topology, clock source requirements, and constraint evaluation before final design decisions are made. This preliminary action identifies optimal clock source locations and potential spanning tree loops early in the design process, reducing manual iteration time while preserving design flexibility.
Solution Approach 2:
The network design system automatically evaluates its own topology arrangements against predefined constraints (maximum hops, clock synchronization requirements, spanning tree loop prevention). This self-service capability allows the system to autonomously identify and correct suboptimal configurations without requiring manual intervention for every design decision, significantly reducing time consumption.
2Adaptability or versatility
If manual clock location determination is performed after network design, then design flexibility is maintained, but the process becomes tedious and errors increase
Solution Approach 1:
The system determines optimal clock source locations during the initial network topology design phase rather than as an afterthought. By performing clock location analysis preliminarily, the system integrates clock synchronization requirements into the overall network design, ensuring optimal placement while maintaining design flexibility through iterative refinement.
Solution Approach 2:
The system continuously evaluates clock source placement effectiveness by simulating clock information propagation across the network topology. This feedback mechanism identifies suboptimal clock locations and suggests improvements, enabling iterative refinement of clock source placement to achieve high precision while maintaining adaptability through the automated evaluation loop.
3Adaptability or versatility
If network expansion with new elements is performed manually, then adaptability to changes is maintained, but spanning tree loops and suboptimal configurations occur
Solution Approach 1:
When new network elements are added, the system automatically re-evaluates the entire network topology including clock source locations, maximum hop constraints, and spanning tree structure. This feedback-driven approach identifies potential spanning tree loops and suboptimal clock placements resulting from the expansion, and suggests corrective actions to maintain synchronization quality while preserving the flexibility to accommodate the new elements.
Solution Approach 2:
Before finalizing network expansion configurations, the system performs preliminary automated analysis to predict potential issues such as spanning tree loops and clock synchronization degradation. This preliminary action allows designers to adjust the expansion plan proactively, maintaining reliability while preserving adaptability to the required network changes.
4Reliability
If maximum hop limits are enforced for clock information transmission, then clock synchronization quality is maintained, but network design complexity increases
Solution Approach 1:
The system automatically evaluates network topology arrangements against the maximum hop constraint for clock information transmission. This self-service capability identifies configurations that violate the hop limit and suggests alternative topologies or clock source placements that satisfy the constraint, maintaining synchronization quality while managing design complexity through automated constraint checking and recommendation generation.
Data Source
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AI summary
Embodiments of the present disclosure provide a method (300) and system (200) for adaptive arrangement of network resources in electrical network. The system (200) receives network criteria to identify network-related information. The network criteria are used to arrange network resources in electrical network. The system (200) generates first topology of electrical network according to the network criteria. The first topology has first arrangement of network resources in each node in the first topology. The system (200) identifies effect of network constraint parameters over the first arrangement of network resources in the first topology. The effect identifies performance of network resources in the first arrangement. The system (200) selects second arrangement of network resources in the first topology according to the effect of each constraint over network resources.