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采用近红外线状光源、CCD及计算机图像处理等技术,实现钢轨磨损检测系统的软硬件设计。应用三圆柱光学透镜联合对一点式激光进行色散,得到光强分布较均匀的线状激光光源。用高分辨率(752×782)CCD面阵摄像机实时采集钢轨扫描图像,经过A/D变换输出给图像处理系统。图像处理系统根据钢轨的形状和特点,选用最佳的模型和计算方案进行图像处理,对照标准钢轨断面图像快速、准确地计算出钢轨面的磨损值,判断钢轨受伤程度。系统在限速80 km.h-1条件下对钢轨断面的实时检测结果表明,系统符合设计要求,精度达到0.1 mm。
Using near infrared light source, CCD and computer image processing technology to achieve rail wear detection system hardware and software design. Three-cylinder optical lens is used to disperse the one-point laser to obtain a linear laser light source with a uniform light intensity distribution. High-resolution (752 × 782) CCD area array camera real-time acquisition of rail scanning images, through the A / D conversion output to the image processing system. The image processing system selects the best model and calculation scheme for image processing according to the shape and characteristics of the rail, and calculates the rail surface wear value quickly and accurately against the standard rail cross-sectional image to determine the degree of rail injury. The system real-time detection results of the rail section under the speed limit of 80 km.h-1 show that the system meets the design requirements and the accuracy reaches 0.1 mm.