大学毕业论文—车号自动识别系统设计.doc

摘 要 为推进铁路现代化建设，实现货车列检作业环节的减少，推动从人检到机检、静态检测到动态检删的转变，提高列检效率和质量，保障货物列车运行安全，铁路列检站急需要一种可以对目前运行的铁路货车车辆的标签进行识别，对车底重要部位进行高速、清晰的图像采集，井可阻实现/W ..d动识别的设备，因此-货车运行故障动态图像检测系统（Troubic of Mwmg Frcigjit Car Detection Systcm，TFDS）孕育而生。 本文主要介绍了铁路货车运行故障动态图像检测系统的研究过程·作者将TFDS系统分为前端控制与采集于系统和计算机视觉故障自动识别子系统两部分，每个子系统又分为若干模块分别设计。本文重点对静端控制与采集子系统的车号识别设备、图像自动采集设备，以及对计算机视觉自动识别子系统的针对两类常见故障的计算机视觉图像自动别算法进行了研究。研究车号自动识别设备时，应用了射频识别(RadioFrcquency IdentⅡification，RFID)技术中的微波反射调制解调原理。其中载波信号生成子模块产生910.1MHz、912.1MHz和914.1MHz频点的可选载波信号，标签将车号编码信息通过幅度调制加载到载波信号中，反射波经过与载波同频本振信号混频并滤波后得出车号编码信号。该信号经过解码模块解码得出车号信息，研究图像自动采集设备时，本文选#了UP.8001业摄像头+Matrox Metcor】I /Digital图像采集卡的组合。在针对铁路货车两类常见故障的计算机视觉故障自动识别算法方面，采用了计算机视觉（Computer Vision，cv）技术。主要使用了直方图的灰度变换将待检图片进行预处理然后使用Sobel算子对图像进行边缘检测。在故障识别算法的设计中运用了图像投影理论，Hough变换以及Hough逆变换经典算法。铁道部tbr3070-2002铁路机车车辆自动识别设备技术条件》铁路标准为本文依据。 关键诃：车号自动识别系统；RFID;计算机视觉：货车运行故障动态图像检测系统  Abstract In order to advance railroad modernization, realize the freight train inspection link reduction, promote from the people seized to machine inspection, static detection to dynamic check delete change, improve train inspection efficiency and quality, guarantee of the safe running of the train, the railway train inspection station in urgent need of a can now run a railroad freight car tag identification of important parts, car high speed, clear image acquisition, well resistance /W ..d automatic identification equipment, therefore - Van operation fault dynamic image detection system ( Troubic of Mwmg Frcigjit Car Detection Systcm, TFDS ) born. This paper mainly introduces the railway freight operation fault dynamic image detection system research process author TFDS system is divided into a front control and data acquisition system and computer vision fault automatic recognition system in two parts, each subsystem is divided into several modules were designed. This paper focuses on the static end control and data acquisition subsystem number identification equipment, automatic image acquisition equi