Heavy haul railway locomotive axle inspection method and device

CN122390708APending Publication Date: 2026-07-14CHINA RAILWAY ENG CONSULTING GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA RAILWAY ENG CONSULTING GRP CO LTD
Filing Date
2026-03-16
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The existing heavy-haul railway locomotive wheel and axle maintenance system lacks the closed-loop intelligent decision-making capability from condition perception to maintenance decision, and cannot achieve dynamic optimization of maintenance strategies and precise allocation of resources.

Method used

By acquiring wheel and axle data, performing feature extraction and health status assessment, and utilizing the wheel and axle health management model and multi-objective dynamic decision optimization engine, production operation plans and resource scheduling schemes are generated to achieve automated and intelligent maintenance.

Benefits of technology

It improves the targeting and effectiveness of maintenance, avoids misdiagnosis and missed diagnosis, rationally allocates resources, reduces maintenance costs, improves resource utilization, and realizes the automation and intelligence of wheel and axle maintenance.

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Abstract

The application provides a heavy haul railway locomotive axle maintenance method and device, and relates to the technical field of axle maintenance.The method comprises the following steps: obtaining axle data; respectively extracting features from the vibration signal sequence and the flaw detection image to obtain feature vectors; inputting the feature vectors into a preset axle health management model to obtain a health state evaluation result; inputting the health state evaluation result into a preset multi-target dynamic decision optimization engine to obtain a production operation plan and a resource scheduling scheme; and inputting the production operation plan and the resource scheduling scheme into an application execution layer to enable the application execution layer to perform maintenance and scheduling.The application can more accurately judge the fault type and severity of the axle, improve the pertinence and effectiveness of the maintenance, reasonably allocate maintenance personnel and equipment according to the actual situation, avoid the idling and waste of resources, improve the resource utilization rate, reduce the maintenance cost, realize the automation and intelligentization of the axle maintenance, and improve the maintenance efficiency and reliability.
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