An equipment model design method, device, equipment, medium and product

By modularly decomposing and optimizing large-scale underground engineering equipment, and combining historical design cases and a 3D model library, the problem of insufficient adaptability of the equipment under complex working conditions was solved, achieving higher environmental adaptability and reliability.

CN122154087APending Publication Date: 2026-06-05CHINA RAILWAY CONSTR HEAVY IND
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA RAILWAY CONSTR HEAVY IND
Filing Date
2026-02-04
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies lack environmental adaptability for large-scale underground engineering equipment under complex working conditions. Modular design and product lifecycle-oriented design are difficult to flexibly adapt to changing environmental factors, resulting in insufficient adaptability of equipment under actual complex working conditions.

Method used

By modularly decomposing the pre-stored historical parts list, target configuration criteria and user requirements are obtained. Optimization is then performed by combining the 3D model library and historical design cases. Furthermore, association rule mining and grey relational analysis are used to optimize the equipment model to improve its adaptability.

Benefits of technology

It significantly improves the adaptability and reliability of equipment in different complex environments, avoids design flaws, and ensures that the optimized equipment model has better environmental compatibility and engineering robustness in terms of structure, materials and configuration.

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Abstract

The application provides an equipment model design method, device, equipment, medium and product, and relates to the technical field of engineering machinery design. The method comprises the following steps: modularizing a pre-stored historical parts list to obtain a plurality of equipment modules; obtaining a target configuration criterion according to the plurality of equipment modules; obtaining a target equipment module according to actual user requirements and the target configuration criterion; obtaining a three-dimensional model corresponding to the target equipment module from a pre-stored three-dimensional model library; obtaining an initial equipment model according to the three-dimensional model corresponding to the target equipment module; optimizing the initial equipment model according to a plurality of historical design cases to obtain an optimized equipment model; and performing rendering processing on the optimized equipment model to obtain the target equipment model. Through the optimization processing of the initial equipment model by acquiring and applying the plurality of historical design cases, the successful design experience and solutions verified in previous cases can be directly inherited and fused, so that the adaptability and reliability of the new equipment to different complex environments can be significantly improved.
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