基于物联网技术的山体滑坡监测及预警系统研究
本文选题:山体滑坡 + 物联网技术 ; 参考:《南京信息工程大学》2014年硕士论文
【摘要】:山体滑坡是一种具有很强破坏性的地质灾害,严重威胁着工农业生产和人民生命财产安全。因此,对山体滑坡监测及预警系统的研究具有重要的经济社会意义。传统的山体滑坡监测及预警系统主要是通过有线网络上传数据至主控制台,再以人工的方式播报预警信息。由于山体滑坡监测区域位于地理条件复杂的偏远地区,使得线路架设困难、电源供给受限。从而导致传统的方式自动化程度不高,监测精度差,实时性低。 为了有效解决传统山体滑坡监测及预警系统的弊端,本系统拟采用物联网技术实现对山体滑坡监测及预警系统的设计。完成包含系统方案设计到软硬件实现的整个过程,可以有效地对山体滑坡进行实时精确监测以及智能预警播报。 本系统主要从物联网的感知层、网络层和应用层三方面分别介绍了滑坡采集终端机、主控制台上位机软件以及报警终端机的设计与实现。采集终端机负责将位移、加速度、角速度数据以及视频图像信息通过无线GPRS与工业以太网网络相结合的方式,高效实时地上传至主控制台。经主控制台上位机软件处理后,智能地向报警终端机发送预警指令。报警终端机收到指令后将会启动报警装置:警报方式包括报警器鸣笛,指示灯变化,短信报警。 本系统可能具有的创新点: (1)采用无线与有线网络相结合的方式传输数据,解决了有线部署困难的弊端; (2)添加对视频图像信息的采集,有效解决了无法及时获悉灾害发生前后的状况; (3)基于Lyapunov指数的预报算法提高了预报精度。
[Abstract]:Landslide is a very destructive geological disaster, which seriously threatens the safety of industrial and agricultural production and people's life and property. Therefore, the study of landslide monitoring and early warning system has important economic and social significance. The traditional landslide monitoring and early warning system mainly uploads the data to the main console through the wired network, and then reports the early warning information manually. Because the landslide monitoring area is located in the remote area with complicated geographical conditions, it is difficult to set up the line and the power supply is limited. As a result, the traditional way of automation is not high, the monitoring accuracy is poor, and the real-time is low. In order to effectively solve the disadvantages of the traditional landslide monitoring and early warning system, this system uses the Internet of things technology to realize the design of the landslide monitoring and early warning system. The whole process including the design of the system scheme and the realization of the software and hardware can be completed, and the real-time and accurate monitoring and intelligent early warning of the landslide can be carried out effectively. This system mainly introduces the design and implementation of landslide acquisition terminal, host computer software and alarm terminal from three aspects of the perceptual layer, network layer and application layer of the Internet of things. The acquisition terminal is responsible for uploading the displacement acceleration angular velocity data and video image information to the main console efficiently and in real time through the combination of wireless GPRS and industrial Ethernet network. After processing by the host console software, the alarm command is sent intelligently to the alarm terminal. The alarm terminal will start the alarm device after receiving the instruction: the alarm mode includes the alarm siren, the change of the indicator light, and the short message alarm. Possible innovations in the system: 1) adopting the combination of wireless and wired network to transmit data, which solves the problem of difficult wired deployment; (2) adding video image information to solve the situation before and after the disaster can not be known in time; 3) the prediction accuracy is improved by the prediction algorithm based on Lyapunov exponent.
【学位授予单位】:南京信息工程大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP277;TP391.44;TN929.5
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