摘要
论文介绍了基于三次样条曲线铁轨识别算法的列车滑动在线监测系统,对系统结构、工作原理、三次样条曲线算法在铁轨识别中的应用、硬件构成及软件设计进行了比较详尽的论述。该系统可通过实时在线监测列车的停靠状态,及时发现并消除由于止轮器异常引发的列车停车场作业缺陷,防止止轮器及由此引起的停车作业事故的发生,避免对停车场及铁路交通造成重大经济损失。实践证明该系统运行稳定、可靠。
The paper proposes the train sliding on-line monitoring system based on three times spline curve and discusses the structure,working principle,hardware components,three times spline curve and software design of the system in detail. The system can provide real-time monitoring for the train docking state and alarm to trains with abnormal hidden danger.
出处
《微计算机信息》
2012年第3期39-41,共3页
Control & Automation
基金
甘肃省科技型企业技术创新基金(5CS036-A52-014)
关键词
三次样条曲线
图像识别
止轮器
边缘检测
Three times spline curve
image recognition
scotch block
edge detection
