在烟雾环境中检测高压断路器的开闭状态的检测方法
Lujia Wang1, Yifan Chen1, Jianghao Qi1
1School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究涉及到变电站监控中的烟雾干扰. 一种基于LiDAR的新方法可以准确地确定断路器的状态,即使在烟雾状况下,提高安全性和可靠性.
科学领域:
- 电气工程 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 计算机视觉
背景情况:
- 变电站监控依赖于计算机视觉,但来自火灾的烟雾阻碍了性能.
- 激光雷达提供深度信息,但与高烟雾度扎,影响点云数据质量.
- 准确的断电器状态评估对于变电站安全至关重要.
研究的目的:
- 调查烟雾对LiDAR点云数据的影响,以识别断电器状态.
- 开发一种可靠的方法,用于在烟雾环境中识别断路器的开放-关闭状态.
- 在紧急情况下提高变电站监控系统的可靠性.
主要方法:
- 采用了两阶段的断开器状态歧视过程.
- 采用切片点云用于特征提取和导电臂边缘特征构建.
- 应用边缘预处理用于打开-关闭位置识别.
主要成果:
- 拟议的方法有效地减轻了点云数据中的烟雾干扰.
- 尽管有烟雾,但可以准确地确定断路器的开放-关闭状态.
- 通过实地实验证明了状态评估的高可靠性和精度.
结论:
- 开发的方法提供了一个可靠的解决方案,用于在烟雾条件下监测断开器状态.
- 这种方法可以作为连续断路器关闭状态监控技术的参考.
- 在紧急情况下提高变电站安全性和运行可靠性是潜在的好处.
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