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用于弹性多无人机遥感的分布式协调:光伏检查案例研究

Distributed Coordination for Resilient Multi-UAV Remote Sensing: A Photovoltaic Inspection Case Study

Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martin Molina, Pascual Campoy

arXiv 2607.24482首次发表:更新:

AI 中文总结

研究多无人机遥感运行时协调问题,提出SwarmLink通信基础设施,应用于光伏电站检查,通过分布式拍卖统一传感目标分配、故障恢复和重新分配,无需修改核心且无需地面站参与,减少中断影响。

AI 中文摘要

部署多架无人机进行遥感可按比例减少任务时间,但这需要机群在运行时进行协调,如分配传感目标、应对平台故障及从数据质量下降中恢复。在检查任务中,集中式地面站协调器是单点故障。我们提出SwarmLink,一种无需修改主机系统就能扩展现有空中框架并具备对等协调能力的代理间通信基础设施。将其应用于光伏电站检查,通过分布式拍卖统一初始传感目标分配、平台故障恢复和数据质量触发的重新分配。所有三种中断情况都归结为对剩余目标和活跃平台的重新拍卖,无需对Aerostack2核心进行修改且任务期间无需地面站参与。

英文摘要

Deploying multiple UAVs for remote sensing enables proportional reductions in mission time, but realizing these benefits requires the fleet to coordinate at runtime: distributing sensing targets, responding to platform failures, and recovering from degraded data quality. In inspection campaigns, where mission value depends on complete coverage and the usability of every capture, a centralized ground-station coordinator is a single point of failure: a lost link or station fault leaves sensing gaps that cannot be filled without operator intervention. We propose the \textbf{SwarmLink}, an inter-agent communication infrastructure that non-invasively extends any existing aerial framework with peer-to-peer coordination capability, without modifying the host system. We apply it to photovoltaic plant inspection as a representative large-scale sensing campaign, extending Aerostack2 with a distributed auction that unifies initial sensing-target allocation, platform-failure recovery, and data-quality-triggered reassignment into a single runtime mechanism. All three disruption scenarios reduce to the same re-auction over remaining targets and active platforms, requiring zero modifications to the Aerostack2 core and no ground-station involvement during the mission.

DOI:10.1109/MetroAeroSpace69299.2026.11646644

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