基于图像识别的联锁人机界面检测方法研究  

Research on Interlocking human machine interface detection method based on image recognition

作　　者：夏运超 李鹍 朱林富 Xia Yunchao;Li Kun;Zhu Linfu(Postgraduate Department,China Academy of Railway Sciences,Beijing 100081,China;Institute of Standards&Metrology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)

机构地区：[1]中国铁道科学研究院研究生部,北京100081 [2]中国铁道科学研究院集团有限公司标准计量研究所,北京100081

出　　处：《电子测量技术》2024年第18期182-192,共11页Electronic Measurement Technology

基　　金：中国铁道科学研究院集团有限公司科研课题(2023YJ288)项目资助。

摘　　要：铁路信号系统是保证铁路运输安全高效运行的重要技术手段,计算机联锁系统作为铁路信号系统的关键设备,系统自身的完备性测试必不可少。联锁人机界面是联锁系统的重要组成部分,通过作业人员操作,可向信号设备发送控制命令,并接收显示现场设备表示状态信息。对联锁人机界面依照标准规范进行检测,是确保联锁系统正常运行、保证铁路行车安全的重要技术手段。目前针对联锁人机界面的测试大都依靠人工,存在测试效率低下、测试过程不可追溯等问题。本文基于归一化平方差算法,提出适用于实时图形界面检测的模板匹配方案;分析联锁人机界面图像的局部特征,提出非侵入式无失真图像像素特征识别方法;将人工操作步骤建模抽象为计算机可识别语言;提出13种自定义关键字,实现模拟联锁人机界面操作;自动捕获分析图像、文字、语音信息,精确计算图像RGB三原色模型值,判断测试结果规范符合性,提高了检测结果准确性和一致性。经验证对比,所提出的联锁人机界面检测方法,实现了全过程自动化测试,可视化全部操作流程,测试结果及中间环节均可追溯,极大地提高了测试效率和测试结果的可信度。The railway signal system is an important technical means to ensure the safe and efficient operation of railway transportation.As a key equipment of the railway signal system,the completeness testing of the system itself is essential for the computer interlocking system.The interlocking human-machine interface is an important component of the interlocking system.Through the operation of the operators,control commands can be sent to the signal equipment,and on-site equipment status information can be received and displayed.Testing the interlocking human-machine interface according to standard specifications is an important technical means to ensure the normal operation of the interlocking system and ensure the safety of railway operations.At present,the testing of interlocking human-machine interfaces mostly relies on manual labor,which has problems such as low testing efficiency and untraceable testing processes.This article proposes a template matching scheme suitable for real-time graphical interface detection based on the normalized squared difference algorithm;analyze the local features of the interlocking human-machine interface image and propose a non-invasive and distortion free image pixel feature recognition method;modeling and abstracting manual operation steps into computer recognizable language;propose 13 custom keywords to simulate interlocking human-machine interface operations;automatically capturing and analyzing image,text,and speech information,accurately calculating the RGB primary color model values of the image,determining the compliance of test results with specifications,and improving the accuracy and consistency of detection results.After verification and comparison,the proposed interlocking human-machine interface detection method has achieved full process automation testing,visualized all operation processes,and traceable test results and intermediate links,greatly improving testing efficiency and the credibility of test results.

关 键 词：计算机联锁人机界面 图像处理 自动化测试系统 

分 类 号：U284.36[交通运输工程—交通信息工程及控制] TN06[交通运输工程—道路与铁道工程]