结合RSSI的定位策略研究与滑坡应用

发布时间：2018-01-24 12:18

本文关键词： WSN RSSI 滑坡监测位移监测定位技术　出处：《江西理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：山体滑坡的发生是山体随时间不断演化的结果,当前滑坡监测所采用的各种技术手段在一定程度上能够实现对滑坡实施监测与预测,但由于现有监测系统或者监测技术很难及时捕捉滑坡的动态信息而使准确预测滑坡的发生存在很大难度,从而造成巨大损失。研究分析表明,滑坡发生的条件是坡体不停的运动,当坡体位移累积到一定程度,坡体的重力大于对抗阻力滑坡就会发生,而无线传感器网络的节点定位技术因其能够获取监测目标的地理位置信息而备受关注,因此将该技术应用于滑坡监测,以节点位移的计算取代滑坡位移的监测,最终实现滑坡监测的目的。本文首先分析了WSN的特性及定位技术,设计出滑坡监测系统的结构,最后选择无线通信技术—基于Zig Bee无线传感器网络技术应用在滑坡监测上,最终深入分析WSN的节点定位技术,以对监测区域内WSN节点位置的计算监测坡体运动,从而达到预测滑坡发生的目的。为此,本文主要研究讨论内容如下:1.分析滑坡监测的外部环境,在此基础上综合考虑WSN的应用现状、支撑技术、节点设计要求,设计出应用于滑坡的监测系统结构。2.介绍分析当前的主流无线通信技术,通过分析比较各自的优缺点,以及综合考虑滑坡体的特点,选取合适的无线通信技术。3.由于滑坡所处的外部环境复杂多变,简单的将节点定位算法应用于滑坡监测并不能满足定位精度的需求,因此提出一种改进的基于RSSI的加权质心定位算法(IWCLA),该算法考虑坡体节点所处的外部环境,引入锚节点误差系数,实时调整RSSI测距,同时引入锚节点环境因子的概念,将环境因子和修正距离的商作为算法权值,增强权值选取的合理性,降低外部环境的影响力。本文对IWCLA在Matlab 2012b环境下模拟实验,同时还对在同样环境条件下的简单的将距离的倒数作为权值的定位算法相比进行模拟实验,通过最后的仿真图形总结得出,IWCLA对外部环境有更强的适应性。并且将IWCLA应用于坡体动态研究避免使用了位移传感器,降低了成本。
[Abstract]:The occurrence of the landslide is the result of the continuous evolution of the mountain body with time. At present, all kinds of technical means used in landslide monitoring can realize the monitoring and prediction of the landslide to a certain extent. However, the existing monitoring system or monitoring technology is very difficult to accurately predict the occurrence of landslide because it is difficult to capture the dynamic information of landslide in time, resulting in huge losses. The condition of landslide is the continuous movement of slope body. When the displacement of slope body accumulates to a certain extent, the gravity of slope body is larger than that of resistance landslide. The node location technology of wireless sensor network has attracted much attention because of its ability to obtain the geographic location information of the monitoring target. Therefore, this technology is applied to landslide monitoring, and the calculation of node displacement is used to replace the monitoring of landslide displacement. Finally, the purpose of landslide monitoring is realized. Firstly, the characteristics and positioning technology of WSN are analyzed, and the structure of landslide monitoring system is designed. Finally, the wireless communication technology-based on Zig Bee wireless sensor network technology is chosen to be applied in landslide monitoring, and finally, the node location technology of WSN is deeply analyzed. In order to predict the occurrence of landslide, the calculation of the location of WSN node in the monitoring area is used to monitor the movement of slope body. Therefore, the main contents of this paper are as follows: 1. Analyze the external environment of landslide monitoring. On this basis, considering the application status of WSN, supporting technology, node design requirements, designed a landslide monitoring system structure. 2. Introduce and analyze the current mainstream wireless communication technology. By analyzing and comparing their advantages and disadvantages, and considering the characteristics of landslide body, the appropriate wireless communication technology is selected. 3. The external environment of landslide is complex and changeable. Simply applying node location algorithm to landslide monitoring can not meet the need of location accuracy, so an improved weighted centroid location algorithm based on RSSI is proposed. The algorithm takes into account the external environment of the slope node, introduces the error coefficient of the anchor node, adjusts the RSSI ranging in real time, and introduces the concept of the environmental factor of the anchor node. Environmental factors and the quotient of the modified distance are taken as the weights of the algorithm to enhance the rationality of the weight selection and reduce the influence of the external environment. This paper simulates the IWCLA in the environment of Matlab 2012b. At the same time, the simulation experiment is carried out on the simple localization algorithm which takes the reciprocal distance as the weight value in the same environment, and the final simulation figure is summarized. IWCLA is more adaptable to external environment, and the application of IWCLA to slope dynamic research avoids the use of displacement sensors and reduces the cost.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P642.22;TP212.9

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