Gas Turbine Component Replacement Prioritization via Dynamic Plan Evaluation
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Solution Overview
Problem
Existing methods for preparing operation plans for high-temperature components in gas turbines are limited, as they rely solely on residual life, potentially missing more optimal plans.
Innovation Solution
An operation plan preparation and evaluation device that varies initial factors to generate multiple plans, using master and generated information, and evaluates these plans to derive an optimum operation plan through a factor setting process, component extraction, priority assignment, and evaluation functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an operation plan is prepared based solely on residual life of high-temperature components, then the plan is uniquely determined and simple to implement, but the plan may not be optimal and alternative optimum plans are missed
Solution Approach 1:
The invention changes the parameter of initial factor values to generate multiple operation plans. By varying the initial factor values in the component selection process, the system creates different operation plans that can be evaluated to find the optimum plan, rather than being constrained to a single plan based solely on residual life
Solution Approach 2:
The invention introduces dynamics into the operation plan preparation by making the initial factors variable rather than fixed. The control unit repeatedly performs the operation plan preparation process with different initial factor values, transforming a static single-plan approach into a dynamic multi-plan evaluation system
2Reliability
If multiple operation plans are prepared by varying initial factor values, then an optimum operation plan can be derived through evaluation, but the complexity of the preparation system increases
Solution Approach 1:
The invention implements feedback by evaluating multiple operation plans and using the evaluation results to determine the optimum plan. The control unit compares different operation plans based on their evaluation outcomes, creating a feedback loop that guides the selection of the best plan while managing system complexity through structured comparison
3Adaptability or versatility
If component selection is based on fixed priority rules, then the selection process is simple and deterministic, but it cannot adapt to different operational scenarios and priorities
Solution Approach 1:
The invention applies preliminary action by pre-defining multiple initial factor values that represent different operational scenarios and priorities. These pre-set factors enable the system to adapt to various situations without complex real-time adjustments, maintaining ease of operation while improving adaptability
Solution Approach 2:
The invention makes the component selection process universal by using a standardized operation plan preparation method that can accommodate different initial factor values. The same basic process handles various operational scenarios, making the system multi-functional and adaptable without requiring separate selection procedures for each scenario
Data Source
AI summary
An operation plan preparation and evaluation device including a storage unit for storing master data related to equipment and a component, transaction data related to the equipment and the component generated when an operation plan is prepared, and an initial parameter used when the operation plan is prepared, and a control unit for preparing the operation plan based on the master data, the transaction data, and the initial parameter, in which the control unit performs a factor setting process of assigning a predetermined set value as the initial parameter, an operation plan preparation process of preparing the operation plan based on the initial parameter serving as the set value, the master data, and the transaction data, and an operation plan evaluation process of evaluating a plurality of respective operation plans prepared by repeatedly performing the operation plan preparation process while varying the initial parameter, and deriving an optimum operation plan.