A method and system for dynamic counter-path planning of a drone cluster

By constructing a boundary constraint dataset and compliance barrier surface, identifying edge-following motion trends, constructing candidate countermeasure funnel channels and screening target funnel channels, and using the fruit fly algorithm to solve the collaborative trajectory parameters, the problem of difficulty in simultaneously completing compression, sealing, and closing in restricted airspace in UAV swarm countermeasure path planning is solved, and efficient dynamic countermeasure path planning is achieved.

CN122329327APending Publication Date: 2026-07-03SHANDONG HSINCHU INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG HSINCHU INTELLIGENT TECH CO LTD
Filing Date
2026-05-09
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing drone swarm countermeasure path planning technologies struggle to effectively block incoming drone swarms in restricted airspace while meeting boundary compliance requirements, especially near no-fly zones, sensitive protected boundaries, or building edges, where it is difficult to simultaneously perform compression, sealing, and containment actions.

Method used

By generating boundary constraint datasets, compliance barrier surfaces, boundary passage corridors, boundary corner blocking areas, and compressible areas outside the boundary, candidate countermeasure funnel channels are constructed and target countermeasure funnel channels are selected. The fruit fly algorithm is used to solve the collaborative trajectory parameters, establish differentiated trajectory templates, perform local replanning and unit role switching, and generate dynamic countermeasure paths.

Benefits of technology

It improves the adaptability and blocking efficiency of countermeasure path planning in restricted airspace, reduces the risk of path conflicts, enhances the real-time performance and stability of the dynamic countermeasure process, and ensures the continuous executability of the path.

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Abstract

This invention provides a method and system for dynamic countermeasure path planning for unmanned aerial vehicle (UAV) swarms. The method includes: acquiring boundary data, incoming UAV swarm trajectory sequences, and countermeasure UAV swarm state sequences in the countermeasure airspace; performing time consistency verification, coordinate system registration, and validity verification to generate a boundary constraint dataset; constructing a compliance barrier surface based on the boundary constraint dataset; segmenting the incoming UAV swarm trajectory sequences; identifying edge-hugging motion segments and boundary transition features to generate boundary passage corridors, boundary corner blocking areas, and compressible areas on the outer side of the boundary; constructing candidate countermeasure funnel channels based on the boundary passage corridors, boundary corner blocking areas, compressible areas on the outer side of the boundary, and countermeasure UAV swarm state sequences; filtering target countermeasure funnel channels; generating a unit requirement table; and grouping the countermeasure UAV swarm into boundary compression units, corner blocking units, and rear containment units.
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