Z-Wave在煤矿井下人员定位系统中的应用研究

发布时间：2018-04-10 04:13

本文选题：Z-Wave　切入点：人员定位　出处：《辽宁工程技术大学》2017年硕士论文

【摘要】：为了更准确的监测煤矿井下人员位置信息,为煤矿灾后救援提供依据,为煤矿管理提供保障。文章在分析了井下无线信号传输特点的基础上,提出了一种基于Z-Wave技术的煤矿井下人员定位系统,对井下人员位置信息进行有效的监控,减少事故发生时的伤亡率。系统采用新型无线通信Z-Wave技术设计网络拓扑结构,以网络形式布置井下参考节点的位置。系统采用C sharp编程语言开发系统软件,并利用ArcGIS软件绘制煤矿井下自定义地图,实现系统人员位置的显示功能。文中利用矩形波导理论及射线追踪法,对煤矿井下巷道无线信号的传输路径进行研究。根据无线信号在井下传输的特点,设计采用RSSI加权质心定位算法实现人员定位。由于传统的RSSI定位算法中对路径损耗的确定是根据专家经验设定的,增加了系统中人为因素的干扰,使定位结果受专家经验等因素影响较大。因此,文中提出一种实时更新路径损耗系数的方法对RSSI算法进行改进,并且将改进RSSI算法与加权质心定位算法相结合,提出RSSI加权质心算法,在不增加系统成本的前提下,提高了定位准确性。文中通过MATLAB实验仿真证明算法的精确性,同时利用实验室楼道模拟井下巷道进行模拟实验,结果表明所研究系统可以实现准确的人员定位。
[Abstract]:In order to more accurately monitor the location information of coal mine personnel, provide the basis for coal mine disaster rescue, and provide guarantee for coal mine management.On the basis of analyzing the characteristics of underground wireless signal transmission, this paper puts forward a kind of positioning system for underground personnel based on Z-Wave technology, which can effectively monitor the location information of underground personnel and reduce the casualty rate when accidents occur.The new wireless communication Z-Wave technology is used to design the network topology and the position of underground reference nodes is arranged in the form of network.The system adopts C sharp programming language to develop the system software, and ArcGIS software is used to draw the self-defined map of the coal mine, which realizes the display function of the position of the personnel in the system.Based on the theory of rectangular waveguide and ray tracing, the transmission path of wireless signal in underground roadway is studied in this paper.According to the characteristics of wireless signal transmission in underground, the RSSI weighted centroid localization algorithm is used to realize human location.Because the traditional RSSI localization algorithm determines the path loss according to the expert experience, it increases the interference of human factors in the system, and makes the location result greatly affected by the expert experience and other factors.Therefore, this paper proposes a method to update the path loss coefficient in real time to improve the RSSI algorithm, and combines the improved RSSI algorithm with the weighted centroid location algorithm, and proposes the RSSI weighted centroid algorithm without increasing the cost of the system.The accuracy of positioning is improved.In this paper, the accuracy of the algorithm is proved by MATLAB experimental simulation, and the simulation experiment is carried out by using laboratory corridor to simulate underground roadway. The results show that the system can achieve accurate personnel positioning.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD76

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