基于数字孪生的汽车淋雨试验数据融合处理方法及系统

By constructing a digital twin of the test vehicle's full-dimensional data association, real-time synchronization and data alignment between the physical entity and the virtual model are achieved, solving the problems of data fusion deviation and missing association in the vehicle rain test, and improving the data utilization value and the level of processing refinement.

CN122153802BActive Publication Date: 2026-07-17CHONGQING BOKE ELECTROMECHANICAL EQUIP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING BOKE ELECTROMECHANICAL EQUIP CO LTD
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing automotive rain test data processing suffers from issues such as core data fusion deviation and missing correlations, making it impossible to accurately reflect the impact on automotive waterproofing performance and difficult to pinpoint specific defect locations and their root causes.

Method used

Digital twin technology is used to construct a digital twin of the test vehicle with full-dimensional data association, realizing real-time mapping and state synchronization between physical entities and virtual models. The associated data of the entire life cycle is collected and preprocessed. By aligning with timestamps and association identifiers, hierarchical association fusion and anomaly verification are performed to generate an associated test report.

Benefits of technology

It enables refined and personalized processing of test data, avoids core deviations and missing correlations in data fusion, enhances the value of data utilization, and provides reliable support for vehicle rain testing.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及汽车试验数据处理技术领域,具体涉及一种基于数字孪生的汽车淋雨试验数据融合处理方法及系统;方法包括:进行试验汽车物理实体与虚拟模型的映射及状态同步;采集试验汽车全生命周期关联数据、试验辅助数据及虚拟仿真数据,并进行数据关联对齐;对关联化数据进行分层关联融合;基于汽车数据关联关系定位异常,生成关联式试验报告;系统包括:实体及虚拟映射模块、关联化数据获取模块、分层数据融合模块、异常状态识别模块;通过结合数字孪生技术,以试验汽车数据关联为核心,构建多源数据的关联融合体系,实现避免数据融合核心偏离、关联缺失,从而提升试验数据的利用价值,为汽车淋雨试验的精细化、个性化处理提供可靠支撑。
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