一种考虑无人机灵活换电的森林火灾应急物资配送两阶段协同调度方法
By adopting a two-stage collaborative scheduling method involving trucks and drones, the problems of drone battery swapping relying on fixed nodes and delayed response to dynamic demands were solved, enabling flexible battery swapping and optimized resource allocation, and improving the efficiency and adaptability of emergency material delivery for forest fires.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
In the current forest fire emergency material delivery, drone battery swapping relies on fixed truck nodes, resulting in low vehicle-machine collaboration efficiency. The response to dynamic new demands at the fire site is delayed, and the lack of differentiated priority for fire points leads to unreasonable resource allocation. The scheduling algorithm struggles to balance offline global optimization with online real-time adaptability.
A two-stage collaborative scheduling method of truck-drone is adopted. By constructing a path priority matrix and an attention-weighted ant colony-tabo search hybrid algorithm, the method realizes flexible battery swapping of drones and vehicle-drone collaboration. An adaptive two-layer emergency allocation and rescue mechanism is designed to dynamically detect the status and adjust the path in real time.
It improves the efficiency of vehicle-machine collaboration, shortens the task completion time, optimizes resource allocation, adapts to the dynamic changes in demand in complex fire scenarios, and has good robustness and fault tolerance.
Smart Images
Figure CN122175300B_ABST