120Km/h车载式在线电磁钢轨断轨检测仪器研制

项目名称： 120Km/h车载式在线电磁钢轨断轨检测仪器研制

项目编号： No.61227002

项目类型： 专项基金项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 刘泽

作者单位： 北京交通大学

项目金额： 290万元

中文摘要： 现代轨道交通以电力为能源，清洁、高效、节能、低碳，是绿色环保的交通模式，但轨道交通如何安全健康发展倍受关注。在关乎安全的问题中，钢轨断轨极具威胁，特别是货运重载铁路，故迫切呼唤一种在线断轨检测仪器。本项目拟研制车载式在线断轨检测仪器，装备普通列车，在线检测断轨及潜在断轨，实现断轨报警。仪器将使用新型的电磁层析多频涡流检测方法，用FPGA直接合成多频激励信号实现同步电磁投影激励；设计低噪声多级程控放大电路检测边界磁场信号，开发检测信号的FPGA并行多频数字锁相解调算法；设计钢轨头部截面裂缝分布的图像重建算法，进而通过裂缝分布分析断轨信息。项目将解决车载在线检测情况下仪器对弱信号的检测和提离效应的抑制，并用自适应数字滤波算法滤除移频数字轨道电路和工频牵引回流及谐波的干扰。本仪器的研制将促进断轨的高效准确检测和及时修复、避免重大行车事故。

中文关键词： 电磁层析成像；电磁无损检测；钢轨探伤；电磁传感；在线监测

英文摘要： Modern rail transportation with electrical power is green, environmental friendly because of its characteristics of clean, efficient, energy saving and low carbon. Nevertheless, it attracts more and more attention to safety and healthy. Rail broken is a critical threat among many problems related to safety especially for heavy haul railway. So a kind of online broken rail detection instrument is urgently needed. In this proposal, the vehicle mounted online rail broken detection instrument will be developed. It can be installed on common carriage of trains to detect rail broken and heavy crack which can cause rail broken. The instrument will use novel electromagnetic tomographic multi-frequency eddy current testing method and use FPGA to synthesis multi-frequency excitation signal. Then design low noise amplifiers to measure the boundary magnetic signal. Develop FPGA based parallel multi-frequency digital lock-in demodulation algorithm and develop image reconstruction algorithm for crack distribution on cross section of rail head. Then identify the rail broken information. The project will solve the problems including weak signal detection and lift-off effect removing on the condition of online vehicle mounted measurement. The interference of digital shift keying track circuit, power frequency traction return cur

英文关键词： Electromagnetic tomography；Electromagnetic Non-destructive testing；Rail Inspection；Electromagnetic Sensor；Online inspection