矢量瓦片切割发布系统
By using a heterogeneous data adaptive access and normalization subsystem and spatiotemporal feature analysis, the problem of efficient processing and dynamic segmentation of multi-source heterogeneous geographic data is solved, network transmission and computing resource utilization are optimized, and service response speed and mobile rendering performance are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNTU ZHIXING (BEIJING) TECHNOLOGY CO LTD
- Filing Date
- 2025-12-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack efficient automated cleaning and topology consistency maintenance mechanisms when processing multi-source heterogeneous geographic data, resulting in high data access time costs. The tile cutting rules are static and cannot be dynamically adjusted, affecting network transmission efficiency and computing resource utilization, leading to high service latency and poor scalability.
A heterogeneous data adaptive access and normalization subsystem is introduced. A quadtree index is constructed through streaming flattening mapping algorithm and spatiotemporal feature analysis to generate a metadata index that reflects the data distribution characteristics. A parallel computing architecture is used to generate vector tiles, and parallel cutting and viewport-aware pruning are used to optimize network transmission. An incremental update mechanism is combined to reduce latency.
It achieves efficient and unified processing of heterogeneous data, dynamically adjusts the segmentation rules, optimizes network transmission efficiency and computing resource utilization, reduces latency and improves service response speed and mobile rendering performance.
Smart Images
Figure CN121681702B_ABST