铁路计算机联锁站场数据自动提取方法研究

针对计算机联锁自动测试软件所需的铁路站场数据依赖人工手动输入、自动化程度不高的问题,提出了铁路计算机联锁站场数据自动提取方法。以经过验证无误的联锁上位机界面图像作为图像识别系统的输入,分析信号设备显示特征并定义数据模型,基于OpenCVSharp计算机视觉库,利用图像识别相关算法,设计识别流程,自动提取站场数据。采用上述方法开发软件,展示信号设备识别与数据提取效果。该方法能准确识别出联锁上位机界面中的信号机、道岔与轨道区段,从而实现相关站场数据的自动提取。

Automatic extraction method of railway computer-based interlocking station data

The railway station data required by the computer-based interlocking automatic test software depends on manual input, and the degree of automation is not high. To solve this problem, this paper proposed an automatic extraction method of railway computer interlocking station data, took the verified interlocking host computer interface as the input of an image recognition system to analyze the display characteristics of signal equipment and define the data model. Based on OpenCVSharp computer vision library, the paper designed the recognition process by using the image recognition related algorithm to automatically extract the station data, developed the software using the above method to show the effect of signal equipment identification and data extraction. This method can accurately identify the signal, switch, and track circuit district in the interface of interlocking host computer, so then implement the automatic extraction of relevant station data.