一个无人机智能系统用于监控希腊电力线路
Aikaterini Tsellou1, George Livanos1, Dimitris Ramnalis2
1School of Electrical and Computer Engineering (ECE), Technical University of Crete, 73100 Chania, Greece.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了一种智能无人机系统,用于自动检查电力线路,将视觉和热成像相结合,用于实时故障检测. 这种自动化方法提高了安全性,并降低了配电网维护成本.
科学领域:
- 电气工程 电气工程
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
背景情况:
- 电力线路检查对于配电网络的维护,诊断和故障检测至关重要.
- 目前的方法依赖于手动检查或离线分析来自无人机或直升机的数据.
- 需要自动化,实时的电力线路监控系统.
研究的目的:
- 使用定制的无人机平台开发电力线路的自主,智能检查系统.
- 为了实现实时识别和细分电力线从背景使用RGB和热成像的结合.
- 及时提供电力线路状况的警报,并促进有效的决策.
主要方法:
- 开发一个定制的无人机平台,配备红绿蓝 (RGB) 和红外 (热) 成像传感器.
- 实施混合数据处理方法,将RGB和热数据结合起来,用于电力线路识别和细分.
- 集成用于现场分析的自主能力,将人类操作员的作用限制在飞行规划和控制.
主要成果:
- 使用混合方法从背景成功识别和细分电力线路.
- 实时数据处理和警报生成能力的演示.
- 验证系统在自动化,现场电力线路分析方面的潜力.
结论:
- 拟议的智能无人机系统在电力线检查方面取得了重大进展.
- 该系统能够及时准确地检测故障,提高运营效率和安全.
- 这种自动化方法降低了运营成本,并提高了发电网的整体维护.
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