基于WSN的智能矿井信息采集和分析系统研究与设计

发布时间：2018-02-25 02:17

本文关键词： 煤矿安全生命体征姿态识别　出处：《山东大学》2013年硕士论文　论文类型：学位论文

【摘要】：现有煤矿安全系统难以确切了解井下被困矿工的人数、位置及所处的生命状态,急需一套辅助救援系统,能在事故发生后迅速确定井下人员的准确位置,掌握被困人员的生命体征,为人员救助提供可靠依据。本论文开发基于无线传感网络的矿井人员姿态识别和生命体征监测系统,可以克服复杂环境对地下信息传输的影响,使得传输数据稳定可靠,发生事故时能够立即从监控计算机上查询事故现场的人员位置分布情况、被困人员数量以及具体位置等信息,为救援工作提供科学依据,将人员损失减少到最小。本系统通常由地面中心站设备、数据通讯设备、监控设备、可穿戴式传感器系统构成,实现对井下环境多参数的连续监测。通过这种实时的状态采集系统,可以准确区分穿戴人跑、走路、站立不动等行为姿态以及人员的基本生理状态指标。本系统使用基于ZigBee协议的无线传感网络系统,通过智能节点对井下人员的基本生理指标进行采集,并对其行为姿态进行识别,从而实现井下人员生命体征信息的监测。克服了传感器节点数量少,难以移动,和网络扩展性差,定位困难等缺点。基于我国矿井监测系统的现状,建立既能监测井下环境信息又能监测人员生命体征和人员行为姿态信息的智能化可扩展监控系统,通过无线传感器网络对矿井环境及人员进行实时监测和预警分析,是现代化矿井急需解决的重要问题。本课题利用物联网技术、智能传感与模式识别技术开发煤矿井下智能个人可穿戴安全系统。该系统由三部分构成：智能化信息采集节点、冗余通讯单元以及地面监控诊断系统。具体研究内容如下： ①生命体征监测。 ②基于加速度计的人体行为姿态识别。 ③环境参数采集与分析。 ④可穿戴系统设计。 ⑤基于Mesh搭建具有双冗余特征的井下通信链路。
[Abstract]:It is difficult for the existing coal mine safety system to know exactly the number, location and life state of the trapped miners. A set of auxiliary rescue system is urgently needed, which can quickly determine the exact location of the underground workers after the accident. Grasp the vital signs of trapped persons and provide reliable basis for rescue. In this paper, the attitude recognition and vital sign monitoring system of mine personnel based on wireless sensor network is developed, which can overcome the influence of complex environment on underground information transmission and make the transmission data stable and reliable. In the event of an accident, information such as the location of personnel, the number of persons trapped and the specific location can be immediately inquired from the monitoring computer to provide scientific basis for rescue work and reduce the loss of personnel to the minimum. This system is usually composed of ground central station equipment, data communication equipment, monitoring equipment, wearable sensor system to realize the continuous monitoring of underground environment multi-parameter. It can accurately distinguish the wearing person running, walking, standing immobility and basic physiological state indicators. This system uses the wireless sensor network system based on ZigBee protocol to collect the basic physiological indexes of underground personnel through intelligent nodes and to recognize their behavior posture. In order to realize the monitoring of vital sign information of underground personnel, it overcomes the shortcomings of small number of sensor nodes, difficult to move, poor network expansibility, difficult location and so on. Based on the present situation of mine monitoring system in China, an intelligent and extensible monitoring system is established, which can not only monitor the underground environmental information, but also monitor the vital signs and behavior of personnel. Real time monitoring and early warning analysis of mine environment and personnel through wireless sensor network is an important problem urgently needed to be solved in modern mines. In this paper, the intelligent personal wearable safety system is developed by using the technology of Internet of things, intelligent sensing and pattern recognition technology. The system is composed of three parts: intelligent information collection node, Redundant communication unit and ground monitoring and diagnosis system. The specific research contents are as follows:. 1 vital sign monitoring. 2 recognition of human behavior attitude based on accelerometer. 3. Collection and analysis of environmental parameters. Wearable system design. 5. Build downhole communication link with dual redundancy based on Mesh.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD76

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