一种基于AI的低空空域网格动态划分与管理方法及系统
By using real-time data acquisition and dynamic grid management, the problems of uneven distribution of low-altitude airspace resources and delays in conflict resolution have been solved, enabling efficient and safe airspace resource allocation and path planning, and improving the flexibility and real-time performance of low-altitude airspace management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing low-altitude airspace management technologies cannot adapt to the dynamic needs of high-density, multi-type aircraft, resulting in uneven distribution of airspace resources, low resource utilization, delayed conflict resolution, and insufficient safety and efficiency, which cannot meet the needs of future large-scale commercial low-altitude operations.
By collecting multi-source datasets in real time to generate airspace situation profiles, conducting demand analysis, dynamically dividing grids, coordinating path planning, and making dynamic adjustments based on operational status monitoring, dynamic airspace grid management is achieved.
It improves the flexibility and real-time performance of low-altitude airspace management, optimizes resource allocation, reduces flight conflicts, and enhances operational safety and efficiency.
Smart Images
Figure CN122116693B_ABST