井下无轨胶轮设备导航系统研究

发布时间：2018-04-28 18:50

本文选题：RFID定位方法 + 导航系统　；参考：《昆明理工大学》2015年硕士论文

【摘要】：采矿业是国民经济的基础行业,我国的采矿业大多为地下采矿。井下地质条件复杂,有的巷道长达数千米,设备作业点分散,流动性大,加之巷道与采掘工作面空间狭窄,导致井下作业人员无法判断自身当前位置以及周边的环境设施,存在极大的事故隐患。此外,全球定位系统(GPS)的成功应用使人们对于定位导航的服务需求越来越多,人们希望能将其移植到井下环境中去。但由于地质条件的限制,GPS信号无法穿透地表到达地下。而射频识别技术(RFID)具有非视距、非接触、成本低且发展成熟等优点,得到了越来越广泛的关注,成为了优选的室内定位技术。近年来,关于RFID室内定位的研究取得了较大的发展。其定位方法总体上可以划分为两大类,一类是基于测量距离的定位方法,另一类是基于场景分析的定位方法。本文对这两类方法分别做了详细的介绍,对基于场景分析的定位方法做了较为深入的研究,先通过程序开发,验证了文中设计的匹配算法确实能搜索到差异最小的指纹信息,具有可行性。为了降低人力、物力的消耗,利用克里金插值技术,对场景分析定位方法提出了改进,通过程序开发,证明了改进后的场景分析定位方法能获得更好的定位性能。由于该方法具有诸多优点,因此将改进后的场景分析定位方法确定为适合于本设计的井下定位方法。确定好定位方法之后,本设计对导航系统的整体结构进行了设计,将导航系统分成为几个基本的子系统。通过定位子系统、网络子系统、语音子系统、视频监控子系统以及扩展信号系统的合理构建,完成了导航系统硬件的体系设计。接着,对导航系统的软件部分进行设计,通过对无轨设备车载触摸屏及监控中心监控系统的结构组态与功能界面设计,构成了完整的井下无轨胶轮设备导航系统。本设计解决了只能“远程看”的传统定位模式,实现了系统的可视化、可听化、可交流化、可识别化。有利于司机安全、有序、高效的驾驶无轨设备,同时还有利于管理人员进行合理调度与有效管理。
[Abstract]:Mining industry is the basic industry of national economy, the mining industry of our country mostly is underground mining. The underground geological conditions are complex, some roadways are thousands of meters long, the equipment operating points are scattered, the mobility is large, and the space between the roadway and the mining face is narrow, which results in the downhole operators unable to judge their current position and the surrounding environmental facilities. There are great hidden dangers to the accident. In addition, the successful application of GPS (Global Positioning system) makes people need more and more services for positioning and navigation, and people hope to transplant it into underground environment. However, due to the limitation of geological conditions, GPS signals can not penetrate the surface to reach the ground. Radio frequency identification (RFID) technology has been paid more and more attention because of its advantages of non-visual distance, non-contact, low cost and mature development. In recent years, the research on RFID indoor positioning has made great progress. As a whole, the localization methods can be divided into two categories, one is based on measuring distance, the other is based on scene analysis. In this paper, the two kinds of methods are introduced in detail, and the location method based on scene analysis is studied deeply. First, through the development of program, it is verified that the matching algorithm designed in this paper can really search the fingerprint information with the least difference. It is feasible. In order to reduce the consumption of manpower and material resources, the method of scene analysis and location is improved by using Kriging interpolation technology. Through the development of program, it is proved that the improved method of scene analysis and location can obtain better localization performance. Because this method has many advantages, the improved scene analysis and localization method is determined to be suitable for this design. After determining the positioning method, the overall structure of the navigation system is designed, and the navigation system is divided into several basic subsystems. Through the reasonable construction of positioning subsystem, network subsystem, voice subsystem, video monitoring subsystem and extended signal system, the hardware architecture of navigation system is designed. Then, the software part of the navigation system is designed, through the structure configuration and function interface design of the trackless equipment on-board touch screen and the monitoring system of the monitoring center, a complete underground trackless rubber wheel equipment navigation system is constructed. This design solves the traditional positioning mode which can only be "remote watch", and realizes the visualization, audibility, communication and recognition of the system. It is beneficial to driver safety, order, efficient driving trackless equipment, but also conducive to the management of reasonable scheduling and effective management.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD67;TP391.44

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