The smooth operation of the power system is of significant importance for ensuring societal stability. Therefore, regular inspections of the power system are necessary. The most efficient method for power inspection is to utilize Unmanned Aerial Vehicles (UAVs) to assist inspection. However, the UAV inspection still needs human resources to operate and manage the UAVs effectively. This paper proposes a UAV-airport power inspection system, where the airport can operate and manage UAVs instead of humans. The key contribution of the system is the computation offloading technology and the Wireless Power Transfer (WPT) capability. In other words, the airport can help UAVs execute electrical image fault detection and the UAVs can be charged by the airport. We propose a joint optimization strategy for UAV flight speed, local execution frequency for fault detection, and WPT time to maximize the number of images in the electrical dataset captured by the UAV that have undergone power fault detection within the inspection time. Comprehensive experiments are conducted to verify the performance of the UAV-airport power inspection system and our optimization strategy.

电力系统平稳运行对于保障社会稳定具有重要意义。因此，对电力系统进行定期检查是必要的。电力巡检最有效的方法是利用无人机辅助巡检。然而，无人机巡检仍需要人力资源来有效操作和管理无人机。本文提出了一种无人机-机场电力巡检系统，机场可以代替人类操作和管理无人机。该系统的关键贡献是计算卸载技术和无线功率传输（WPT）能力。也就是说，机场可以帮助无人机进行电图像故障检测，并且可以由机场对无人机进行充电。我们提出了一种针对无人机飞行速度、故障检测的本地执行频率和 WPT 时间的联合优化策略，以最大化无人机在检查时间内捕获的电力故障检测数据集中的图像数量。进行了全面的实验来验证无人机机场电力巡检系统的性能和我们的优化策略。