Dynamic Rail-wear Inspecting System Based on Machine Vision
Dynamic Rail-wear Inspecting System Based on Machine Vision
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DOI：
10.1109/iciea.2007.4318358
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发表时间：
2007-05
期刊：
影响因子：
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通讯作者：
Guoxin Li;Chonglin Wang;Jianhua Liu;Wen-li Jin
中科院分区：
文献类型：
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作者：
Guoxin Li;Chonglin Wang;Jianhua Liu;Wen-li Jin
钢轨磨耗状态的检测是保证高速运行安全、合理的检修计划、降低运营成本的关键。提出了一种基于机器视觉的钢轨磨损参数动态检测系统，该系统采用近红外激光线阵投影仪、电荷耦合器件(CCD)摄像机和图像处理技术对钢轨磨损参数进行检测。介绍了一种单元件激光投影仪的设计。投影仪接收一束高斯激光，并将其扩展成均匀的光强线。为了在检测前获得系统系数，构造了一个校准框架。分析并改进了直接线性变换(DLT)算法，利用平面点栅格校正透镜的非线性失真。并对数百幅钢轨轮廓图像进行了采集和处理。同时，快速、准确地获得了钢轨磨损值。实践证明，整个钢轨磨耗系统真实、可靠地反映了钢轨型材的磨损状况。该系统具有较高的性价比，非常适合中文环境。
Inspecting rail-wear status is critical to guarantee high-speed running safety, proper maintenance schedule, and low operating costs. A dynamic inspecting system based on machine vision is presented using near-infrared laser line projector, CCD (Charged Coupled Device) camera and image processing technology for detection of rail wear parameters. The design of single-element laser-beam projector is described. The projector takes a Gaussian laser beam and expands it into a uniform intensity line. A calibration frame has been constructed to obtain system coefficients before detection. A DLT (Direct Linear Transformation) algorithm is analyzed and modified to correct the nonlinear lens distortion using a planar spot-grid. And hundreds of rail profile images have been acquisitioned and processed. At the same time, rail wear values have been obtained fast and accurately. It is testified that the whole system of rail wear reflects the status of rail profiles wear authentically and dependably. Having high performance /cost ratio, the system is much suitable for Chinese context.