Part optimization method, device, equipment, medium and product for engine

By generating a list of candidate exchange methods, constructing a global conflict matrix, and traversing a search tree, the engine parts replacement scheme is optimized. This solves the accuracy and efficiency problems of manual decision-making in existing technologies, achieves automated and precise parts optimization, and improves engine operation and maintenance efficiency.

CN122242040APending Publication Date: 2026-06-19ICALC HLDG LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ICALC HLDG LTD
Filing Date
2026-03-31
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing methods for interchangeing engine parts rely on manual experience, resulting in low accuracy and efficiency, and failing to meet the refined and efficient needs of airlines and aircraft operators for parts interchangeability.

Method used

By generating a list of candidate exchange methods, constructing a global conflict matrix, sorting and processing, and traversing a search tree, the engine parts replacement scheme is optimized, achieving automated and precise parts optimization.

🎯Benefits of technology

It improved the efficiency of generating parts replacement plans, ensured the rationality and feasibility of the plans, shortened the development cycle, and improved operation and maintenance efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a method, apparatus, device, medium, and product for optimizing engine parts. The method includes: generating a list of candidate replacement methods for each of S engines to be replaced; creating a global conflict matrix to indicate the logical relationship between any two candidate replacement methods; sorting each candidate replacement method in the list of S candidate replacement methods in descending order of the minimum cyclic optimization amount, to obtain a set of candidate replacement methods; constructing an initial search tree using the global conflict matrix and the set of candidate replacement methods; traversing the initial search tree; generating an initial batch replacement scheme when the first leaf node in the initial search tree is reached; and backtracking the initial search tree until the optimal batch replacement scheme is obtained. Using this application can improve the efficiency of generating the optimal batch replacement scheme.
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