节点文献

基于RFID的人员和设备出入坑监控系统及其应用研究

Application Study of In-out Mine Monitoring System for Staff and Equipments Based on RFID

【作者】 张蓟

【导师】 贾明涛;

【作者基本信息】 中南大学 , 地下空间科学与工程, 2010, 硕士

【摘要】 随着现代工业的日新月异和社会需求,矿井安全监控在国内外得到了广泛应用和极大的发展,已发展到自动化、智能化控制阶段。计算机技术与通信工程的紧密结合极大地推动了工业自动化的进程。人员与设备的安全是矿井安全系统中的重要监控对象,出入坑监控系统功能目标就是对人员设备于井上或井下状态进行识别判断,从而实现对矿井人员的安全监控与安全设备的监测,最终提高矿井安全管理的智能化、效率和可靠性。本文基于RFID(射频识别)技术,在对出入坑监控系统技术的研究现状、发展趋势和存在问题进行分析的基础上,对当前RFID的支持技术,包括硬件设备,上位机软件、单片机以及串口、网络通讯进行了应用研究,重点对井口多目标识别的防冲突算法进行了分析,解决了程序中实行该算法的核心问题,并采用矿山的实际测试数据与系统参数,对系统的监控应用效益进行分析。主要研究工作和成果如下:(1)在查阅大量文献的基础上对RFID跟踪定位技术现状、发展趋势及存在的问题进行了系统分析研究;(2)在RFID系统基本概念的研究以及对矿业领域的应用特性分析的基础上,确定了出人坑监控系统的系统参数,即采用频段开放的2.45G工作频率,以及远程通信模式;(3)通过对RFID硬件技术与通信协议的研究,本文采用列出比较的方法分析了各结构组成的优劣性,并最终得出最优配置方案;(4)以Delphi和SOL Server 2000为开发工具研究设计系统上位机,实现了系统信号串口通信、安全监控和数据库功能;根据井口移动节点监控特性写出了计算机可执行的算法,解决了算法中核心问题:井口出入坑状态判别;多目标识别;(5)用实际数据对系统应用效益进行分析,针对个别失效现象分析原因并提出相关必要措施。通过本次研究,解决了现用出入坑监控系统应用过程中的实际问题。根据坑口移动节点特性设计的硬件配备方案和上位机,能够快速、精确的执行人员与设备出入坑系统监控,极大的提高了矿山工作效率,是矿山安全智能化监控的技术保障。

【Abstract】 At present, with modern industry’s development and demanding of the social, the mine safety monitoring which has developed at automated and intellectualized control stage, obtained the widespread application and the enormous development both here and abroad. It is the union of the computer and the correspondence that promoted the advancement of industrial automation strongly. The Security of staff and equipments is the most important goal of mine safety monitoring system.The in-out mine achieved its functional objective which is monitoring mine personnel and security equipment by deciding whether mine staff and security equipment are in or out mine, and the efficiency and the reliability of the entire system of intellectualization security management will be raised.Based on the technology and application of RFID system,the present situation,developing trends,and the existing problems,this paper researched and analyzed the technical support for RFID,which contains hardware, software, singlechip, serial ports communications and network service,and focused on the the algorithm for multi-target anti-collision identification. Have solved the key problems that how to execute the algorithms which called movement node of well head monitoring in the computer and the feasibility of practical application, adopating real test data and system parameter from a copper mine and analysed the performance of practice application.The main content of this paper are follows:(1)This paper analysed of the present situation, developing trends, and the existing problems of RFID tracking and localization technology in detail based on a great of literature;(2)Has determined system parameters of the in-out mine monitoring system,which was 2.45GHz working frequency running on a open frequency band and remote communication mode, based on the analysing of basic concept of RFID and application property of mining industry domain;(3)Through the research on hardware technology and communication protocol of RFID,this paper compare fit and unfit quality of various structures composition;and established the optimization program for hardwares.Designed and had research on the system superiors machine with delphi and SOL Server 2000, realized the correspondence of system signal serial port, the safe monitoring and the database function;(4)This paper had written out executable algorithms according to the property of well head migration node monitoring.Several central problems had been solved:access to pit discriminant; multi-target recognition;(5) This paper had analysed the performance of practice application whit real test data, analyzed reason and proposed the related unnecessary measure directed towards some individual expiration phenomenon.Practical problem in the process of the execution algorithms has been solved in the paper. The hardware equipment program and software superiors machine designed according to property of the migration node on well head can get an accurate executive system monitoring fastly and simply, and it improved work efficiency, insure the development of mine safety intellectualization monitoring.

  • 【网络出版投稿人】 中南大学
  • 【网络出版年期】2011年 02期
节点文献中: 

本文链接的文献网络图示:

本文的引文网络