Multi-modal dynamic fusion chart visualization method, system, device and medium

By employing a multimodal dynamic fusion chart visualization method, and combining knowledge graphs and WebGL engines with machine learning, the problem of modal fragmentation and interaction lag in multi-source heterogeneous data is solved, achieving efficient and intuitive data analysis and intelligent interaction, thereby improving user experience and system performance.

CN122332629APending Publication Date: 2026-07-03INSPUR YUNZHOU (SHANDONG) IND INTERNET CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610795361.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-04
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies suffer from modal fragmentation, delayed interaction, insufficient expressiveness, and performance bottlenecks when presenting multi-source heterogeneous data. This results in high cognitive load and low exploration efficiency for users when analyzing complex scenarios, making it difficult to intuitively understand the dynamic relationships and semantic information hidden in the data.

Method used

A multimodal dynamic fusion chart visualization method is adopted. Entities and their relationships are constructed through knowledge graphs, and data is dynamically expressed using WebGL particle rendering engine and physics engine. Intelligent interactive response is achieved by combining machine learning intent recognition model, generating unified semantic visualization units.

Benefits of technology

It achieves a unified visual representation of multimodal data, enhances the visual expressiveness of complex dynamics and relationships, reduces the cognitive and operational load on users, and ensures the consistency of cross-device experience and smooth stability under large-scale data.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122332629A_ABST
    Figure CN122332629A_ABST
Patent Text Reader

Abstract

The application relates to the technical field of visualization, and specifically provides a multi-modal dynamic fusion chart visualization method, system, device and medium, which comprises the following steps: acquiring multi-source multi-modal data, constructing data entities and their correlation based on knowledge graph technology; according to a semantic mapping rule, mapping the entities and the correlation into visual visual attributes to generate a unified semantic visualization unit; utilizing a particle rendering engine based on WebGL, initializing rendering parameters of particles or particle clusters according to the unit, and configuring a motion rule based on a physical engine to dynamically visualize data; collecting an interactive behavior sequence of a user and the particles, analyzing the sequence through a pre-trained intention recognition model, and recognizing a current interactive intention of the user; and according to the recognized intention, dynamically adjusting particle rendering parameters or motion rule parameters to change a visualization form for intelligent response. The application significantly improves the expression capability, interactive intelligence and user experience of a visualization system.
Need to check novelty before this filing date? Find Prior Art