摘要
针对高速铁路动态巡检系统中扣件缺失的快速识别问题,提出一种新型的探测方法:利用红外光源垂直照射钢轨扣件形成三束红外结构光,通过硬件系统实现高速相机对实时图像的采集.利用图像形态学处理等图像处理方法,对所采集图像进行预处理、实现扣件定位、扣件特征提取、识别判断并将结果存储至后台数据库,实现检测数据的实时管理。研发了一套基于轨检小车平台的动态巡检实验系统,经实验室模拟实验以及上线测验证明了该方法实际可行,具有很高的准确性和可靠性。
A new detection method is now proposed,for fast detection and recognition problem of fastener in dynamic inspection system of high-speed railway. Infrared light source vertical irradiating fasteners,three beams of parallel structured light are issued above the fastener and images are obtained by a high-speed camera through hardware system. Preprocessing of the captured image,realize fasteners positioning,fasteners feature extraction,recognition and stores the results to the background database for real-time management of data. Developing a dynamic inspection experimental system based on the trolley platform. By simulation experiments and tests on the line to prove that the method is practical,with high accuracy and reliability.
出处
《科学技术与工程》
北大核心
2016年第13期262-265,共4页
Science Technology and Engineering
基金
铁道部重点项目(2013009-F)
国家自然科学基金(61572529)资助
关键词
高速铁路
结构光
扣件定位
特征提取
high speed railway
structured light
fasteners positioning
feature extraction
