在铁路中立部分使用图像处理来自动切换电机动力
Christopher Thembinkosi Mcineka1, Nelendran Pillay2, Kevin Moorgas2
1Transnet, 121 Jan Moolman Street, Vryheid 3100, South Africa.
Journal of imaging
|June 26, 2024
概括
这项研究介绍了一种计算机视觉系统,用于在铁路中立部分自动切换电机的电源供应. 该系统使用视觉标记和图像分类,达到94%的准确性,以提高铁路安全.
科学领域:
- 电气工程 电气工程
- 计算机视觉 计算机视觉
- 铁路系统 铁路系统
背景情况:
- 铁路中立段需要精确的电源开关,以防止电气故障.
- 传统的电机继电器用于切换,但可能容易发生磨损和故障.
- 需要自动化系统来提高供电过渡的可靠性和安全性.
研究的目的:
- 开发和评估基于计算机视觉的系统,用于自动切换电气机车电源.
- 用更强大,更有效的视觉检测方法取代传统的电机系统.
- 提高铁路中立路段的安全性和运行可靠性.
主要方法:
- 利用计算机视觉检测可视标记 ("打开"和"关闭"信号) 指示电源状态.
- 实现了面向梯度 (HOG) 的直方图,用于特征提取,以及用于图像分类的线性支向量机 (SVM).
- 在捕获图像中的标记分段和定位中使用圆形形变换.
主要成果:
- 使用线性支向量机实现了94%的信号标记分类准确度.
- 该系统展示了每秒75个对象的处理速度.
- 成功证明了替代传统电机开关系统的潜力.
结论:
- 拟议的计算机视觉方法提供了一种可靠和准确的方法来管理电机机车的电源开关.
- 这项技术可以通过防止铁路中立路段的闪过来显著提高安全性.
- 该系统的高精度和处理速度表明它适用于现实世界的铁路应用.
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