Cross-modal data fusion processing platform

By designing a cross-modal data fusion processing platform, the problems of compatibility, information differences, and deployment flexibility in cross-modal data fusion processing were solved, achieving high accuracy, flexible adaptation, and secure data fusion processing.

CN122413301APending Publication Date: 2026-07-17

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing cross-modal data fusion processing solutions are incompatible with data from different sources and modalities, resulting in information discrepancies and conflicts. They also have high deployment costs, cannot flexibly adjust processing strategies, lack generalization capabilities, have poor deployment flexibility, and are not secure enough.

Method used

A cross-modal data fusion processing platform was designed, including multi-source modal data access, unified encoding of modal features, cross-level semantic alignment, adaptive fusion inference and closed-loop self-optimization unit, supporting edge-cloud collaborative deployment and equipped with data security management and control mechanism.

Benefits of technology

It achieves high accuracy, flexible adaptability, stability and security in cross-modal data fusion, reduces deployment and transformation costs, and improves the platform's general adaptability and generalization capabilities.

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Abstract

本发明提供了一种跨模态数据融合处理平台,属于人工智能技术领域,该平台包括依次通信连接的多源模态数据接入单元、模态特征统一编码单元、跨层级语义对齐单元、自适应融合推理单元、融合结果输出单元,以及与前述各单元均通信连接的闭环自优化单元。本发明可兼容文本、图像、音频、视频、点云、时序传感器等多源异构模态数据,通过统一特征编码与跨层级语义对齐消除模态间的语义鸿沟,基于模态状态与算力资源自适应调整融合推理策略,同时通过全流程闭环自优化持续提升平台性能,可广泛应用于智能安防、自动驾驶、工业检测、多媒体内容理解等多个领域,兼顾了跨模态融合的通用性、精度与实时性。
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