基于煤矿物联网的智能定位终端的设计及定位研究
发布时间：2018-08-06 20:27
【摘要】：由于我国煤矿环境复杂，条件特殊，井上无法实时掌握井下人员的位置信息。特别是当煤矿井下发生灾害后，搜救工作难以开展。另一方面，在我国发生的特大煤矿事故中，有很大比例是由环境因素造成的。但是，目前的监控系统对于矿井工人来说都是被动感知。因此，本文结合这两种情况，从煤矿物联网应用出发，结合感知矿山建设的核心问题，设计了智能定位终端，，对人员进行实时定位，同时感知井下人员周围的环境。 结合煤矿物联网应用模型，比较现有无线通信方案，确定采用Wi-Fi无线技术，介绍基于Wi-Fi的定位方法，并且确定了基于RSSI的定位方法。设计了智能定位系统架构图，并对软硬件进行设计实现。 分析了煤矿巷道下无线信号的传播情况，为定位算法的研究提供了基础。为实现井下全覆盖的定位功能，在位置指纹技术的基础上，研究了全覆盖的定位算法。在建立指纹库时，采用高斯模型对采样数据进行修正。在实时定位阶段，采用经典的K邻近匹配算法，并采用基于时间的补偿算法进行修正。根据实际应用情况，提出了补充盲区定位算法。将盲区定义为半盲区和全盲区，对半盲区提出线性插值预测算法，对全盲区提出了基于历史运动的预测模型，并进行仿真验证。实验证明，在盲区中，最大定位误差为8.7米。
[Abstract]:Because of the complex environment and special conditions in coal mines in our country, it is impossible to grasp the location information of underground personnel in real time. Especially when the underground coal mine disaster, search and rescue work is difficult to carry out. On the other hand, a large proportion of coal mine accidents in China are caused by environmental factors. However, the current monitoring system for mine workers are passive perception. Therefore, combining these two situations, starting from the application of the Internet of things in coal mines, combining with the core problems in the construction of perceptual mines, the intelligent positioning terminal is designed to locate the personnel in real time, and at the same time to perceive the surrounding environment of the personnel in the mine. Combined with the application model of Internet of things in coal mine, this paper compares the existing wireless communication schemes, determines the use of Wi-Fi wireless technology, introduces the positioning method based on Wi-Fi, and determines the location method based on RSSI. The architecture diagram of intelligent positioning system is designed, and the software and hardware are designed and implemented. The transmission of wireless signal under coal mine roadway is analyzed, which provides the foundation for the research of localization algorithm. In order to realize the location function of downhole full coverage, the location algorithm of full cover is studied on the basis of location fingerprint technology. In the establishment of fingerprint database, the Gao Si model is used to modify the sampled data. In the phase of real-time localization, the classical K-neighborhood matching algorithm is adopted, and the time-based compensation algorithm is used to correct it. According to the practical application, a supplementary blind area location algorithm is proposed. The blind area is defined as the half blind area and the full blind area. The linear interpolation prediction algorithm is proposed for the half blind area. The prediction model based on historical motion for the full blind area is proposed and verified by simulation. Experimental results show that the maximum positioning error is 8.7 meters in the blind area.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP391.44
本文编号：2168897
[Abstract]:Because of the complex environment and special conditions in coal mines in our country, it is impossible to grasp the location information of underground personnel in real time. Especially when the underground coal mine disaster, search and rescue work is difficult to carry out. On the other hand, a large proportion of coal mine accidents in China are caused by environmental factors. However, the current monitoring system for mine workers are passive perception. Therefore, combining these two situations, starting from the application of the Internet of things in coal mines, combining with the core problems in the construction of perceptual mines, the intelligent positioning terminal is designed to locate the personnel in real time, and at the same time to perceive the surrounding environment of the personnel in the mine. Combined with the application model of Internet of things in coal mine, this paper compares the existing wireless communication schemes, determines the use of Wi-Fi wireless technology, introduces the positioning method based on Wi-Fi, and determines the location method based on RSSI. The architecture diagram of intelligent positioning system is designed, and the software and hardware are designed and implemented. The transmission of wireless signal under coal mine roadway is analyzed, which provides the foundation for the research of localization algorithm. In order to realize the location function of downhole full coverage, the location algorithm of full cover is studied on the basis of location fingerprint technology. In the establishment of fingerprint database, the Gao Si model is used to modify the sampled data. In the phase of real-time localization, the classical K-neighborhood matching algorithm is adopted, and the time-based compensation algorithm is used to correct it. According to the practical application, a supplementary blind area location algorithm is proposed. The blind area is defined as the half blind area and the full blind area. The linear interpolation prediction algorithm is proposed for the half blind area. The prediction model based on historical motion for the full blind area is proposed and verified by simulation. Experimental results show that the maximum positioning error is 8.7 meters in the blind area.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP391.44
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