A collaborative search method for UAV clusters based on adaptive partitioning
Through adaptive division and dynamic adjustment mechanisms, the problem of unbalanced task load and insufficient fault handling capabilities in complex environments is solved, and efficient search task execution and resource optimization are achieved.
CN119311034BActive Publication Date: 2025-03-28杭州智元研究院有限公司
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Patent Information
- Application Number
- CN202411865824.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-18
AI Technical Summary
Technical Problem
The existing drone cluster technology has problems such as unbalanced task load and insufficient fault processing capabilities in complex environments, resulting in reduced search efficiency.
Method used
Adaptive division-based collaborative search method for drone clusters is adopted, and adaptive division and real-time adjustment of search areas are realized through drone performance evaluation, task area allocation, initial area division and dynamic adjustment mechanisms.
Benefits of technology
It improves search efficiency, optimizes resource configuration, ensures the full completion of tasks, and improves the system's adaptability and robustness in complex dynamic environments.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a method for cooperative search of drone clusters based on adaptive partitioning, the method comprising the following steps: step 1, drone performance evaluation: evaluating the comprehensive performance of the drone according to the drone's indicators to obtain a comprehensive performance index; step 2, task area allocation: allocating the drone task area according to the comprehensive performance index; step 3, initial area division: using the Voronoi diagram algorithm to divide the task area; step 4, dynamic adjustment mechanism: using the dynamic adaptive partitioning mechanism to monitor the drone status in real time and re-divide the task area. The present invention solves the limitations of traditional area division methods in dynamic and complex environments, realizes adaptive division and real-time adjustment of the search area, improves search efficiency, optimizes resource allocation, and ensures the full completion of the task.
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