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Research on Embedded Rail Surface DefectDetection System Based on Multi Core DSP

机译:基于多核DSP的嵌入式轨道表面缺陷检测系统研究

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Track surface defect detection is a key link in daily inspection of high-speed railway. Combined with the adaptive requirements of modern railway and automatic detection technology. Accurate and rapid detection of rail surface defects has become an important guarantee for the safe and stable operation of trains. Aiming at the problem of fast and real-time detection of rail surface defects in high-speed railway long tunnels, a multi-channel embedded rail surface defect image detection method is proposed. The method adopts the image acquisition of DSP cooperative array, As the front-end component of rail surface defect detection, storage equipment realizes a multi-channel embedded high-speed rail surface defect detection system. Experiments show that on the platform of DSP integrated development software CCS 3.1 (Code Composer Studio), the accuracy of the system for detecting rail surface defects reaches 95.37%. The identification time of rail surface defects is within 4.5 ms, and this method can meet the requirements of the real-time detection system for rail surface defects in long and high-speed railway tunnels in terms of processing speed and accuracy, and can replace the manual inspection of rail surface defects to some extent.
机译:轨道表面缺陷检测是高速铁路日常检查中的关键环节。结合现代铁路的适应性要求和自动检测技术。准确,快速地检测出铁轨表面缺陷已成为保证列车安全稳定运行的重要保证。针对高速铁路长隧道轨道表面缺陷的快速实时检测问题,提出了一种多通道嵌入式轨道表面缺陷图像检测方法。该方法采用DSP协作阵列的图像采集,作为轨道表面缺陷检测的前端组件,存储设备实现了多通道嵌入式高速轨道表面缺陷检测系统。实验表明,在DSP集成开发软件CCS 3.1(Code Composer Studio)平台上,铁路表面缺陷检测系统的准确性达到95.37%。铁路表面缺陷的识别时间在4.5 ms以内,该方法在处理速度和精度上都可以满足长高速铁路隧道中的铁路表面缺陷实时检测系统的要求,并可以代替手动检查钢轨表面缺陷在一定程度上。

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