Rotor assembly process control method and system based on digital twinning

CN122287294APending Publication Date: 2026-06-26SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
Filing Date
2026-02-11
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The existing rotor assembly process lacks real-time detection, which can easily lead to assembly failures such as rotor jamming, seizing, and cracking, affecting the operational stability and assembly quality of heavy rotating machinery.

Method used

A rotor assembly process control method based on digital twins is adopted. The pressure field snapshot output by the target simulation model is used for dimensionality reduction, and the risk index is calculated by combining the actual temperature value. The assembly parameters are dynamically adjusted to achieve precise assembly.

Benefits of technology

It improves the process stability and assembly quality of rotor assembly, enhances the operational stability of heavy rotating machinery, reduces the consumption of simulation computing resources, adapts to real-time requirements, and helps to achieve intelligent and precise control of rotor assembly.

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Abstract

This application discloses a rotor assembly process control method and system based on digital twins, relating to the field of rotor assembly technology. The method includes: constructing a target simulation model based on the geometric parameters and process parameter set corresponding to the rotor assembly interface; inputting the acquired assembly process parameters into the target simulation model to obtain a pressure field snapshot; performing dimensionality reduction processing on the target simulation model based on the pressure field snapshot to obtain a target reduced-order model; inputting temperature values ​​obtained from the rotor assembly production line into the target reduced-order model to obtain pressure field and temperature field distributions; calculating risk indicators for the rotor assembly process based on the pressure field and temperature field distributions; adjusting the assembly parameters based on the risk indicators; and performing rotor assembly operations according to the adjusted assembly parameters. This application's embodiments can achieve precise rotor assembly, ensuring the process stability and assembly quality of rotor assembly.
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