Table lookup deformation matching and electromagnetic mapping digital twin system and method

By pre-constructing a multiphysics simulation database and using a lookup table matching method, the problems of high computational cost and slow response speed in multiphysics coupling analysis of aircraft are solved, realizing fast mapping and visualization, and suitable for static querying and real-time synchronous display of multi-condition data.

CN121997469BActive Publication Date: 2026-06-19SOUTHEAST UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHEAST UNIV
Filing Date
2026-04-10
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies suffer from high computational costs and slow response speeds in multiphysics coupling analysis of aircraft, making it difficult to balance rapid queries under fixed conditions with dynamic synchronization driven by physical deformation, and also lacking in scenario adaptability.

Method used

By pre-constructing a multiphysics simulation database and using a lookup table matching method with velocity as the primary key, combined with switching between manual and automatic modes, rapid mapping and visualization of structural deformation, pressure field, and electromagnetic scattering characteristics can be achieved.

Benefits of technology

It enables millisecond-level retrieval of multi-condition data without real-time simulation calculations, reducing computational load, supporting static evaluation and dynamic interactive applications, improving system stability and adaptability, and making it suitable for diverse application scenarios.

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Abstract

This invention discloses a lookup-based deformation matching and electromagnetic mapping digital twin system and method. The system pre-constructs a multiphysics simulation database with velocity as the primary key, storing the deformed 3D model, pressure field data, radar cross section (RCS) data, and feature point displacements, and establishes a deformable-velocity association list for the scaled model. In manual mode, the corresponding multiphysics data is retrieved by directly inputting the velocity; in automatic mode, the displacement detection module detects the displacement of feature points in the scaled solid model in real time and calculates the current deformation. Based on the association list, the velocity primary key is matched in reverse using the minimum absolute difference method, thereby retrieving the corresponding multiphysics data. The deformed 3D model, pressure field pseudo-color distribution, and RCS map are simultaneously displayed on a visualization rendering platform, realizing the digital mapping from solid deformation to multiphysics state.
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