Decentralized Network Configuration via Digital Models
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Solution Overview
Problem
Current methods for configuring changes in interconnected networks, such as energy supply and communication networks, often lead to instability and availability issues due to inadequate dynamic monitoring and automatic recognition of interactions between components, resulting in manual planning challenges and increased risks of maloperations.
Innovation Solution
A method involving the creation of digital models of interconnected networks and their components to represent interactions, allowing for the derivation of a sequence of configuration changes that can be decentralized and executed with temporal and spatial dependencies, minimizing negative influences on stability and availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual planning and monitoring of configuration changes is performed, then control over network changes is maintained, but the complexity of operation increases and the risk of human error rises
Solution Approach 1:
The system performs self-monitoring and self-control of configuration changes through automated sequence control units that independently manage change execution based on pre-defined sequences, eliminating the need for manual planning and monitoring while maintaining reliability
Solution Approach 2:
The system continuously monitors network state and configuration change progress, using feedback loops to automatically adjust the execution of configuration sequences and detect deviations from expected behavior, thereby maintaining stability without manual intervention
2Productivity
If configuration changes are executed centrally, then coordination between networks is simplified, but the time required for changes increases and network availability decreases
Solution Approach 1:
The configuration change process is divided into discrete sequence units that can be executed independently by decentralized control units in different networks, allowing parallel execution and reducing overall change time while maintaining coordination through predefined sequences
Solution Approach 2:
The system dynamically adapts the execution of configuration sequences based on real-time network conditions, automatically adjusting timing and coordination to optimize both change speed and network availability rather than following rigid centralized schedules
3Extent of automation
If digital models of networks are created and maintained, then configuration changes can be automatically planned and executed, but the device complexity increases
Solution Approach 1:
Digital models are created as simplified representations or copies of the actual network structures, allowing automated configuration management to operate on these lightweight models without requiring complex processing of the full network complexity, thus enabling automation while limiting the growth of system complexity
Data Source
AI summary
A method for changing the configuration of at least two connected networks which consist of components and which are interconnected via at least one component, wherein at least one of the at least two networks is configured as a communication network, where digital models of the at least two networks are created based on network analyses, digital component models are created for the at least one connecting component, deriving a sequence of the configuration change is derived based on the digital models of the at least two networks and the digital component models for the at least one connecting component, the sequence of the configuration change is disassembled into decentrally executable sequence units and the decentrally executable sequence units distributing and executing while taking temporal and spatial dependencies on at least one decentralized sequence control unit in at least one of the at least two networks into account.