数字化钢轨精细打磨装备钢轨波浪磨耗检测技术研究
时间:2019-11-24 16:40 来源:毕业论文 作者:毕业论文 点击:次
铁路钢轨的磨耗是影响铁路运行安全及铁路使用寿命的关键因素,其中波磨是尤为突出的磨耗病害之一,钢轨波磨的检测是为钢轨磨耗治理提供依据的核心环节之一,是当前业内普遍关注的研究课题。本课题针对钢轨波磨检测技术开展研究,旨在实现钢轨波磨的在线精确检测,为钢轨磨耗的打磨治理提供可靠依据。本文主要研究内容如下:1.分析对比各类波磨检测方法,选择采用基于机器视觉的非接触式检测技术。选用基于三角测距法的一维 CCD 激光摄像机获取波磨表现形态数据。2.根据一维激光摄像机的三角测量法得到距离的计算公式,研究原始数字信号变为直观十进制坐标距离的转换公式, 基于 C++平台根据算法公式编写算法程序,分析采集的波磨数字信号,得到直观波磨数据。并用 MATLAB 软件编写粗大误差处理和坐标图绘制程序,根据以上分析得到坐标形式下的波磨轮廓图。42006 毕业论文关键词 钢轨波磨检测;一维激光摄像;三角法测距;误差处理 Title Digital Rail Fine Grinding Equipment————Study on Detection Technology of Rail Wave Abrasion Abstract Rail wear is the critical factor of railway operation safety and service life ofrailway.And corrugation is one of the main railway diseases.Rail detection is thecore link of providing basis to controlling abrasion repair,and it is topicresearch of general concern in the industry.This topic focuses on rail corrugationdetection technology to realizing online accurate detection of rail corrugationfor providing reliable basis of abrasion repair.And these are main researchcontents of this paper:1. By analysing and comparing various detection methods of rail corrugation,thenon-contact detection technology based on machine vision is selected.Using theone-dimensional CCD laser camera based on triangulation method,the morphologicaldata of rail corrugation is acquired.2. According to triangulation method of one dimensional laser camera,we can getthe calculation formula of distance.Then change the digital signal distance todecimal coordinate distance according to conversion formula.Based on C++ platformwrite algorithm program according to algorithm formula and analysis corrugationdigital signal to get the intuitive data of corrugation.Then write gross errorhandling and coordinate drawing program based on MTLAB.According to the analysesabove,we can get the outline of rail corrugation. Keywords:rail corrugation detection; one dimensional laser imaging; triangulationmethod; error processing 目 次 1 绪论 1 1.1 项目背景及意义 1 1 . 2 文献综述 1 1.3 论文主要内容介绍 3 2 总体方案设计 4 2.1 论文研究内容 4 2.2 总体方案设计及论证 7 3 钢轨波磨检测系统设计 9 3.1 图像采集系统硬件部分设计 9 3 . 2 数据处理程序 1 3 4 实验测试及结果分析 22 4. 1 实验测试 22 4.2 实验测试及结果分析 23 结论 27 致谢 28 参考文献29 附录 A 完整 C+ +程序 30 附录 B 完整原始数据 3 3
附录 C 完整处理数据(分组版) 40 |