| 机器视觉在无人机巡线中的应用综述 |
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| 引用本文： | 张兆云,黄世鸿,张志.机器视觉在无人机巡线中的应用综述[J].科学技术与工程,2020,20(34):13949-13958. |
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| 作者姓名： | 张兆云 黄世鸿 张志 |
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| 作者单位： | 东莞理工学院电子工程与智能化学院,东莞523808;东莞理工学院电子工程与智能化学院,东莞523808;东莞理工学院电子工程与智能化学院,东莞523808 |
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| 基金项目： | 广东省科技计划(2017A010104023)和国家重点研发计划(2017YFB0903205) |
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| 摘 要： | 输电线路的稳定是保证电力稳定供给的重要因素之一。输电设备的工作环境较为恶劣，在工作期间不可避免会出现损坏，可能会威胁电力系统的正常运行。为了保证电力系统的稳定运行，必须定期对输电线路进行检修。随着无人机技术和图像处理技术的发展，基于机器视觉的无人机巡线技术已成为输电线路最热门的一种巡检方式。以机器视觉技术为主体，概述了无人机巡线技术及其视觉系统的图像处理算法研究现状。
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| 关 键 词： | 输电线路 无人机 机器视觉 图像处理 深度学习 |
| 收稿时间： | 2020/4/1 0:00:00 |
| 修稿时间： | 2020/8/28 0:00:00 |
Review on Application of machine vision in UAV line patrol |
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| Institution: | Dongguan University of Technology |
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| Abstract: | The stability of transmission line is one of the important factors to ensure the stable power supply. The working environment of transmission equipment is very bad, and it will inevitably be damaged during the working period, which may threaten the normal operation of the power system. In order to ensure the stable operation of the power system, the transmission line must be maintained regularly. With the development of UAV technology and image processing technology, UAV line inspection technology based on machine vision has become the most popular way of line inspection. This paper focuses on machine vision technology, and summarizes the research of UAV transmission line patrol technology and image processing algorithm of its vision system. |
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| Keywords: | transmission line UAV machine vision image processing deep learning |
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