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机构地区:[1]华东交通大学电气与自动化工程学院,南昌助教330013
出 处:《城市轨道交通研究》2017年第10期84-87,101,共5页Urban Mass Transit
基 金:华东交通大学校立课题(15DQ02)
摘 要:目前常用的钢轨波磨检测方法有弦测法和惯性基准法,弦测法传递函数不恒定,惯性基准法受车速影响大。针对钢轨波磨检测方法的缺点,提出了一种基于激光摄像技术的波磨检测方法,通过多传感器并行工作对钢轨轮廓进行高频率采样,通过FPGA(现场可编程门阵列)对传感器获得的光条图像进行ROI(Region Of Interest)提取,将图像的ROI传送至上位机提取轮廓数据,进而完成钢轨的波磨信息提取。论证了通过多传感器并行工作提高钢轨轮廓的采样频率的可行性,在Xilinx SP605开发板上实现了光条图像ROI的实时提取。试验表明,ROI提取能够有效减小通信的数据量。The present,chord-based method and inertial reference method are two common rail corrugation detection methods,but the transfer function of the chord-based method is not constant and the inertial reference method is often affected by vehicle speed. In this paper, a corrugation detection method based on laser imaging technology is proposed in line with the above-mentioned defects. Rail profile is sampled at high frequency by parallel sensors, the ROI (region of interest) of light strip image is extracted by FPGA (field programmable gate array),then the ROI is transferred to host PC for rail profile data extraction, the rail corrugation detection is finally completed. The feasibility of increasing rail profile sampling frequency by parallel sensors is proved, the real time extraction of light strip image ROI has been achieved in theXilinxSP605 evaluation kit. Experimental results show that ROI extraction can reduce the data amount of communication effectively.
关 键 词:轨道交通 钢轨波磨 检测方法 并行采样 图像 ROI提取
分 类 号:U213.42[交通运输工程—道路与铁道工程]
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