基于无线传感器网络的煤矿井下设备温度监测系统

发布时间：2018-04-28 09:32

本文选题：煤矿 + 无线传感器网络　；参考：《西安科技大学》2013年硕士论文

【摘要】：煤矿安全监测系统是煤矿实际生产中不可或缺的部分，目前主要的监测对象是环境安全监测和生产工艺监测，对电气设备温度、电缆接头温度的监测通常是煤矿安全监测系统的弱点甚至是盲点。由于矿用设备老化、负荷过大等现象都可能引起设备温度过高、进而引发火灾、爆炸现象，不仅严重影响煤矿的安全生产，而且威胁着作业人员的生命安全、还会给国家造成巨大的经济损失。因此，对煤矿井下设备温度进行实时监测并进行预警研究是很有必要的，本文使用传感器技术、无线通信技术结合有线传输技术，，设计了一套监测系统来对设备温度进行实时远程监控，同时可实现设备监测温度的数据存储分析和预测预警。设备温度监测系统由终端节点模块、数据传输网络和上位机三部分组成。其中终端节点主要用于对设备温度的采集、显示并对超过阈值的温度进行控制报警，STM32处理器作为主控器，汇聚各单节点的信息，并接收上位机的控制命令发送给终端节点。数据传输网络主要用于上位机监控中心与各终端节点的信息传输，采用两级网络的形式进行组网通信，各终端节点与主控器使用CC2530无线收发模块实现ZigBee组网，主控器与监控中心使用CAN总线来连接。上位机可以将CAN总线传输的数据进行显示、保存，并通过BP神经网络对数据进行训练进而预测设备温度时间序列的变化趋势。系统通过在狭长的走廊模拟煤矿巷道进行实验。结果显示CC2530模块组网稳定，CAN总线数据传输准确可靠，系统实现了远程监测效果，找到设备温度变化的内在联系，进而预测出设备温度的未来变化，及时发现设备隐患，保障了煤矿的安全生产。
[Abstract]:The coal mine safety monitoring system is an indispensable part in the actual production of coal mines. At present, the main monitoring objects are environmental safety monitoring and production process monitoring, and the temperature of electrical equipment. Cable joint temperature monitoring is usually the weakness or even blind spot of coal mine safety monitoring system. Due to the aging of mine equipment and excessive load, the equipment temperature may be too high, which will lead to the phenomenon of fire and explosion, which will not only seriously affect the safety of coal mine production, but also threaten the safety of workers. It will also cause huge economic losses to the country. Therefore, it is necessary to carry out real-time monitoring and early warning research on the temperature of underground equipment in coal mines. In this paper, sensor technology, wireless communication technology and wired transmission technology are used. A set of monitoring system is designed to monitor the temperature of the equipment in real time and remote. At the same time, it can realize the data storage, analysis and forecast and early warning of the temperature of the equipment. The equipment temperature monitoring system consists of terminal node module, data transmission network and upper computer. The terminal node is mainly used to collect the temperature of the equipment, display and control the temperature beyond the threshold as the main controller, gather the information of each single node, and receive the control command from the host computer to the terminal node. The data transmission network is mainly used for the information transmission between the host computer monitoring center and the terminal nodes. The network communication is carried out in the form of two-level network. The terminal nodes and the master controller use the CC2530 wireless transceiver module to realize the ZigBee network. The main controller is connected to the monitoring center using the CAN bus. The host computer can display and save the data transmitted by CAN bus and train the data through BP neural network to predict the change trend of equipment temperature time series. The system simulates the coal mine roadway in the long and narrow corridor to carry on the experiment. The results show that the data transmission of can bus is accurate and reliable, the system realizes the effect of remote monitoring, finds the internal relation of the temperature change of the equipment, then predicts the future change of the temperature of the equipment, and finds out the hidden trouble of the equipment in time. To ensure the safety of coal production.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD76

【参考文献】