电力传输线路上的精确冰检测:一种新的方法,使用多尺度Retinex和先进的形态边缘检测监测
Nalini Rizkyta Nusantika1, Jin Xiao1, Xiaoguang Hu1
1State Key Laboratory of Virtual Reality Technology and Systems, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Journal of imaging
|November 26, 2024
概括
本研究介绍了一种先进的图像处理方法,用于在具有挑战性的条件下检测电力传输线路 (PTLI) 上的冰. 新技术显著提高了识别和测量冰层形成的准确性和可靠性.
科学领域:
- 电气工程 电气工程
- 计算机视觉 计算机视觉
- 材料科学 材料科学 材料科学
背景情况:
- 电力传输线路 (PTLI) 上的冰块积累带来了重大风险,包括结构损坏和停电.
- 现有的冰检测方法在复杂的环境和低光照明下难以准确.
研究的目的:
- 开发和评估一种可靠的方法来检测PTLI上的冰,即使在低光和复杂的背景下.
- 准确识别和测量电力传输线路上的冰厚.
主要方法:
- 使用多阶段图像处理方法:增强,过,值,对象隔离,边缘检测和线路识别.
- 采用双眼相机系统拍摄PTLI的图像.
- 使用准确度,灵敏度,特异性和精度等指标评估性能,与现有技术进行比较.
主要成果:
- 实现了高平均检测和隔离准确度98.35%的冰形成.
- 以91.63%的灵敏度,99.42%的特异性和96.03%的精度表现出卓越的性能.
- 展示了精确的冰厚测量,低RMSE为1.20毫米,MAE为1.10毫米,R平方为0.95.
结论:
- 拟议的图像处理方法为监测电力传输线路上的冰提供了更准确,更可靠的解决方案.
- 这种技术显著优于目前用于冰检测和厚度测量的方法.
- 开发的方案提高了输电基础设施的安全性和运营效率.
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