一种高度适用大模型的空间智能数据表达设计和定义方式
By reconstructing the physical world into discrete, atomized spatial entities and defining probabilistic features and semantic primitives, the conflict between determinism and probability in generating interactive digital earths from large models is resolved. Logical stitching and topological linking are achieved, improving the generation efficiency and accuracy of digital earths.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNTU ZHIXING (BEIJING) TECHNOLOGY CO LTD
- Filing Date
- 2025-12-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for generating interactive digital earths using large models suffer from problems such as conflicts between deterministic structures and probabilistic reasoning, lack of cross-grid semantic logic stitching, conflicts in multimodal observation data attributes, and a lack of unified data containers.
By employing a probabilistic extrapolation mechanism of generative large models, the physical world is reconstructed into discrete, atomized spatial entities. Probabilistic features and semantic primitives are defined, and the above problems are solved through normalized grid segmentation, logical stitching, and topological linking. A logical connection and fusion mechanism for cross-domain entities is constructed to achieve parallel generation and logical continuity of global-scale spatial data.
It achieves uncertainty compatibility in the large model generation process, ensures the logical continuity and accuracy of spatial data, supports the efficient fusion and dynamic evolution of multimodal observation data, and improves the generation efficiency and visualization quality of Digital Earth.
Smart Images
Figure CN121811246B_ABST