一种配网无人机联动快巡的航迹自动生成方法及系统
By establishing a spatial candidate benchmark and using dual-station parallax verification, the problem of difficult conductor group identification during UAV inspection of power distribution networks was solved, generating a continuous and safe fast cruise trajectory, and ensuring stable flight of UAVs in complex environments.
Patent Information
- Application Number
- CN202610643323.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-11
- Publication Date
- 2026-07-17
AI Technical Summary
During power distribution network inspections, drones have difficulty reliably identifying conductor groups and generating correct flight paths. They are prone to misjudging adjacent feeders, branch lines, guy wires, or communication lines as target conductor groups, causing their flight paths to extend in the wrong direction or enter areas with safety risks.
The spatial candidate benchmark establishment module acquires UAV pose and observation data to generate multiple candidate traverse groups; the dual-station parallax verification module selects non-collinear stations when there is ambiguity to verify the azimuth and obstruction sequence changes of the candidate traverse groups and confirm the target traverse group; the fast cruise trajectory output module generates a continuous trajectory located outside the target traverse group to avoid tower components and traverse arrays.
This improves the reliability and safety of UAV flight paths in complex pole and tower neighborhoods, avoids the generation of erroneous flight paths and penetration into the inside of the conductor array, and ensures the stability and safety of inspections.
Smart Images
Figure CN122408783A_ABST