跨越式充电无人机自主巡逻技术与系统——基于机器视觉的自动充电控制

Jiahua Guan, Jiahao Lu, Yaofeng Jian, Zitian Mai, Zhihao Li, Haojun Chen, Donglun Li, Qiting Zheng
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引用次数: 0

摘要

旋翼无人机在国内电力系统中得到了迅速的应用。但是,装载设备的无人机的续航时间限制在20分钟以内。为此,本文提出了一种基于机器视觉的跨越式自动上料控制关键技术。跨越式充电平台由无人机平台、无人机自动充电平台和地面控制系统组成。根据飞行控制和智能控制两方面的要求,借助机器视觉和图像识别技术对无人机进行高精度定位和智能着陆,并有效对接地面充电平台与无人机之间的预设槽位和充电接口,对无人机电池进行可靠自动充电,实现无人机起降自动充电。实验结果表明,通过实现跨越式充电平台、机器视觉、图像识别和关机技术,有效解决了无人机充电过程中的高精度定位问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Patrol Technology and System on Leapfrog-Type Charging UAV - Automatic Charging Control based on Machine Vision
Rotor-craft unmanned aerial vehicle (UAV) has been applied rapidly in the domestic electric power system. However, endurance time of the drone loaded with equipment is limited in 20 minutes. Therefore, this paper proposes a key technology of automatic leapfrog-type charging control based on machine vision. Leapfrog-type charging platform is composed of UAV platform, UAV automatic charging platform and ground control system. According to both flight control and intelligent control, with the aid of machine vision and image recognition technology on positioning and intelligent landing UAV with high precision, and effective docking of preset slots and charging interfaces between ground charging platform and UAV, the battery of UAV charges automatically reliably, so as to realize the take-off and landing and automatically recharging UAV. The experimental results show that the problem of high precision positioning in charging process of UAV is effectively solved by implementing the leapfrog charging platform, machine vision, image recognition and shutdown technology.
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