System Configuration Derivation Using Structure Feedback for Renewal Cost
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Solution Overview
Problem
Existing automatic system design techniques struggle to accurately estimate and minimize renewal costs during system updates, leading to increased likelihood of errors and extended downtime, as they fail to consider the structural characteristics of intermediate configurations beyond graph similarity.
Innovation Solution
A system configuration derivation device and method that utilizes a structure feedback function to evaluate and optimize renewal costs by transforming abstract configurations into concrete configurations with the lowest possible renewal cost, based on graph structural features and functional requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing automatic system design techniques are used to derive system configurations, then the design process can be automated, but the renewal cost cannot be accurately estimated and minimized
Solution Approach 1:
The patent implements a feedback mechanism where the derived concrete configuration is fed back into the system to calculate renewal cost based on structural characteristics. This closed-loop feedback allows the system to evaluate and minimize renewal costs by adjusting the configuration derivation process, thereby resolving the contradiction between automation and estimation accuracy.
Solution Approach 2:
The patent replaces manual renewal cost estimation with an automated calculation mechanism that uses structural characteristics of configurations. By substituting the mechanical/manual assessment process with an automated computational system that analyzes graph structural features, the system achieves both high automation and precise renewal cost estimation.
2Productivity
If existing automatic design methods are used, then system configuration can be derived automatically, but the likelihood of errors increases and downtime extends
Solution Approach 1:
The feedback mechanism allows the system to evaluate derived configurations for structural characteristics that indicate potential errors or suboptimal renewal costs. By iteratively refining configurations based on this feedback, the system reduces error rates and minimizes downtime while maintaining high productivity through automated operation.
Solution Approach 2:
The system performs preliminary evaluation of configuration structural characteristics before finalizing the design. By assessing potential renewal costs and structural feasibility in advance, the system can identify and correct potential errors before implementation, thereby reducing actual downtime and improving reliability while maintaining automated speed.
Data Source
AI summary
A system configuration derivation device takes as input concrete configurations of pre-transition system and a post-transition system, and outputs a structure feedback function that gives a higher rating to features possessed by the post-transition system candidate having a lower renewal cost; and takes as input functional requirements and a primary configuration, which is the concrete configuration expressing the configuration of the pre-transition system, and by repeating the concretization regarding the functional requirements, searches for the configuration in which the functional requirements are fully made concrete, and derives the concrete configuration with the lowest renewal cost by using the output structure feedback function.