一种针对小型无人机的公共航路网生成方法

By constructing a three-dimensional flight path network for small unmanned aerial vehicles (UAVs) and combining it with urban road networks and BeiDou grid location coding, the problem of extensive UAV airspace management has been solved, and refined management and safety assurance of multi-UAV collaborative flight have been achieved.

CN121236952BActive Publication Date: 2026-07-17HUBEI YUNDING DIGITAL TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUBEI YUNDING DIGITAL TECHNOLOGY CO LTD
Filing Date
2025-10-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing airspace management model for drone flights is extensive and lacks refined planning, making it difficult to meet the needs of multi-drone collaborative operations. Furthermore, existing route planning algorithms have failed to effectively resolve path conflicts and safety issues.

Method used

By combining urban road network data and the BeiDou grid location coding system, a three-dimensional airway network suitable for small UAVs is constructed. This includes reading urban road network data, generating virtual roads, establishing a spatial matrix, identifying intersection topology and layered traffic routes, and ensuring that the travel paths of UAVs in different directions do not interfere with each other.

Benefits of technology

It has improved airspace utilization and flight safety, reduced the probability of route conflicts, and enabled refined management and safety assurance of multi-aircraft cooperative flight.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121236952B_ABST
    Figure CN121236952B_ABST
Patent Text Reader

Abstract

本申请涉及无人机飞行路径规划技术领域,尤其是涉及一种针对小型无人机的公共航路网生成方法,其包括读取城市道路网数据并剔除快速路和支路,生成二维航路网;根据树木高度确定抬升高度,生成三维航路网;利用地物客流数据构建空间矩阵并栅格化路网;通过形态学开运算栅格化路网的连贯可行区域,openCV识别交叉口并生成拓扑结构;为交叉口建立分层通行线路以实现双向通行;本申请能够提升空域利用率和飞行安全性,解决大规模无人机路径冲突问题。
Need to check novelty before this filing date? Find Prior Art