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在线电磁钢轨探伤数据管理与监控系统设计

发布时间:2018-08-20 09:28
【摘要】:随着我国高速铁路的快速发展,列车的行车安全至关重要。钢轨损坏会直接危及列车的安全,如何高速、快捷、准确的检测钢轨的完整性尤为重要。 目前国内外的钢轨探伤方法以超声波钢轨探伤车为主,其检测速度慢、效率低、需要添加耦合剂,不能满足高速钢轨探伤的需求。本文介绍了具有非接触、高速度等优点的电磁涡流检测技术,并将其运用于钢轨探伤中。电磁钢轨探伤能够非接触的、高速、高精度的检测到钢轨的表面及浅表面的缺陷。 本文介绍了在线电磁钢轨探伤系统的设计框架。信号激励源将激励信号通过电磁发射探头发射到钢轨表面,同时电磁感应探头检测钢轨的涡流场效应信号,感应信号经过放大和模拟数字转换后被FPGA采样,FPGA经过信号解调可以分析出钢轨是否损坏。如果钢轨损坏,车载嵌入式控制中心将钢轨损坏等级、缺陷位置、探伤线路等信息通过GPRS网路传送给地面的服务器,服务器接收后对钢轨数据进行存储和统一管理。本文设计的车载设备探伤——地面服务器数据管理模式的探伤系统使钢轨探伤任务更加简单、快捷、高效。 本文详细的介绍了数据管理与监控子系统的设计和开发细节,主要包括车载控制中心和服务器软件两部分。基于S3C6410处理器、嵌入式Linux操作系统开发了车载控制中心,通过QT人机交互界面配置参数、控制探伤任务,程序后台进行数据传输、缺陷定位、组装报文和GPRS通信。在VS2008平台开发了服务器软件,可以实现对钢轨探伤任务的监控,探伤数据的管理,历史探伤数据的查询、显示和参数配置。 车载探伤设备和探伤数据服务器之间通过GPRS网络传输数据,从而保证探伤设备可以装备在高速运行的列车上执行钢轨探伤任务,而数据服务器专门负责探伤数据的管理。钢轨缺陷检测和探伤数据管理各自独立,互不影响,提升了在线电磁钢轨探伤系统的安全稳定性。 本文的在线钢轨探伤数据管理与监控系统是将探伤设备装备在普通列车上,地面服务器负责管理探伤数据,使得钢轨探伤任务更加高效、快捷、简单。
[Abstract]:With the rapid development of high-speed railway in China, train safety is very important. Rail damage will directly endanger the safety of the train, how to high-speed, fast, accurate detection of rail integrity is particularly important. At present, ultrasonic rail detection vehicle is the main method of rail detection at home and abroad. Its detection speed is slow and its efficiency is low. It needs to add coupling agent, which can not meet the needs of high-speed rail inspection. This paper introduces the electromagnetic eddy current detection technology with the advantages of non-contact and high speed, and applies it to rail flaw detection. Non-contact, high-speed, high-precision detection of rail surface and shallow surface defects can be achieved by electromagnetic rail detection. This paper introduces the design framework of the on-line electromagnetic rail flaw detection system. The signal excitation source emits the excitation signal to the rail surface through the electromagnetic emission probe, and the electromagnetic induction probe detects the eddy current field effect signal of the rail. After amplifying and analog to digital conversion, the inductive signal is sampled and demodulated by FPGA to determine whether the rail is damaged or not. If the rail is damaged, the in-vehicle embedded control center transmits the rail damage grade, defect location, flaw detection line and other information to the server on the ground through the GPRS network. After receiving the information, the server stores and manages the rail data uniformly. In this paper, the on-board equipment flaw detection system based on the data management mode of the ground server makes the rail detection task simpler, faster and more efficient. This paper introduces the design and development of data management and monitoring subsystem in detail, mainly including vehicle control center and server software. Based on the S3C6410 processor, the embedded Linux operating system has developed the vehicle control center. Through the QT man-machine interface configuration parameters, the control flaw detection task, the program backstage carries on the data transmission, the flaw localization, assembles the message and the GPRS communication. The server software is developed on VS2008 platform, which can realize the monitoring of rail flaw detection task, the management of flaw detection data, the query, display and parameter configuration of historical flaw detection data. The data between the on-board flaw detection equipment and the flaw detection data server are transmitted through the GPRS network, thus ensuring that the flaw detection equipment can be equipped to carry out rail inspection tasks on high-speed trains, while the data server is specially responsible for the management of flaw detection data. The rail defect detection and flaw detection data management are independent and do not affect each other, which improves the safety and stability of the on-line electromagnetic rail flaw detection system. The on-line rail flaw detection data management and monitoring system in this paper is to equip the flaw detection equipment on the ordinary train, and the ground server is responsible for managing the flaw detection data, which makes the rail detection task more efficient, fast and simple.
【学位授予单位】:北京交通大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TP368.1;U213.43

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