System Operation Planning Device for Dynamic Configuration
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Solution Overview
Problem
There is a need for a criterion to automatically determine whether to change a system configuration during operation, as existing technologies lack an effective method for making such decisions.
Innovation Solution
A system operation planning device generates specific requirements based on abstract requirements, including information on variable factors and their allowed ranges, to determine whether system configuration changes are necessary during operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If system configuration is changed during operation to improve performance, then system efficiency is improved, but system stability deteriorates
Solution Approach 1:
The patent implements dynamic system configuration that adapts to changing operational conditions. The system monitors variable factors during operation and automatically adjusts configuration parameters to optimize performance while maintaining stability through controlled, condition-based transitions rather than static or arbitrary changes.
Solution Approach 2:
The patent changes system configuration parameters based on monitored variable factors and their relationships. By identifying which parameters to change and when to change them based on operational data, the system improves efficiency while maintaining stability through scientifically-based parameter adjustment rather than random or excessive changes.
2Adaptability or versatility
If system configuration is frequently changed to adapt to operational conditions, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms that monitor variable factors during system operation and use this information to determine when configuration changes are necessary. This feedback loop enables the system to adapt to changing conditions automatically while reducing the complexity of manual configuration management by providing data-driven decision criteria.
Solution Approach 2:
The system performs self-diagnosis and self-adjustment by monitoring its own operational parameters and automatically making configuration changes when needed. This self-service capability improves adaptability while reducing the complexity of external configuration management, as the system manages its own optimization without requiring complex external control.
3Reliability
If manual determination of configuration changes is used, then system stability is maintained, but productivity decreases
Solution Approach 1:
The patent enables the system to automatically monitor its own operational parameters, analyze variable factor relationships, and determine when configuration changes are needed without human intervention. This self-service capability maintains reliability through systematic monitoring while improving productivity by eliminating manual analysis and decision-making delays.
Solution Approach 2:
The patent implements automated feedback loops that continuously monitor system operation and trigger configuration changes based on predefined criteria and analyzed variable factor relationships. This feedback mechanism maintains reliability through systematic monitoring while improving productivity by automatically executing optimization decisions without requiring manual review or intervention.
Data Source
AI summary
A system operation planning device generates, based on abstract requirements that are information indicating requirements to be satisfied by a target system as a system to be operated, specific requirements that are information indicating requirements to be satisfied by the target system, the specific requirements including information indicating values of each of a plurality of values of a variable factor included in a variable factor range, the information including information indicating a variable factor range as a range of values allowed for a variable factor to take during operation of the target system, the value of the variable factor being a value varying during the operation of the target system and having a correlation with an operation status of the target system.