Recovery Support Apparatus for Network Abnormality Sequence Stability
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Solution Overview
Problem
Existing automatic recovery technologies for network abnormalities lack assurance of correct recovery sequences, leading to potential errors and system instability, and require significant operator effort to assess impact on customer service and systems.
Innovation Solution
A recovery support apparatus that calculates stability and safety indices for recovery work sequences, allowing for informed decision-making on sequence execution and reducing the risk of secondary disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic generation technology is used to create recovery work sequences from trouble tickets, then operator workload is reduced and recovery speed is improved, but the accuracy and reliability of the generated sequences cannot be guaranteed
Solution Approach 1:
The system implements feedback by calculating stability indices for generated recovery work sequences and providing this information back to operators. This allows operators to verify and adjust sequences based on quantitative stability measurements, thereby maintaining high recovery speed while improving sequence accuracy through iterative refinement.
Solution Approach 2:
The patent replaces manual verification of recovery sequences with automated index calculation mechanisms. The stability index calculation system automatically assesses sequence reliability using computational methods, substituting manual accuracy checks with systematic automated evaluation that both speeds up the process and improves consistency.
2Reliability
If operators manually assess impact on customer service and systems before executing recovery sequences, then reliability is improved, but operation time and workload increase
Solution Approach 1:
The system performs preliminary impact assessment by pre-calculating stability indices for multiple potential recovery sequences before execution. This advance evaluation provides operators with ready-to-use reliability information, eliminating the need for time-consuming manual impact analysis while maintaining accurate assessment.
Solution Approach 2:
The recovery sequence generation and stability calculation system performs self-assessment of its own outputs. The automated index calculation mechanism evaluates the stability of generated sequences without requiring external manual verification, enabling the system to serve its own reliability assessment needs efficiently.
3Adaptability or versatility
If multiple recovery sequences are generated for each abnormality, then adaptability is improved, but device complexity and decision difficulty increase
Solution Approach 1:
The system manages complexity by introducing a quantitative stability index parameter that transforms the selection of multiple recovery sequences into a parameter-based decision process. Instead of qualitatively evaluating multiple sequences, operators use the calculated stability indices to objectively compare and select the most appropriate sequence, reducing decision complexity while maintaining adaptability.
Data Source
AI summary
A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.