本文關(guān)鍵詞： WSN RSSI 滑坡監(jiān)測 位移監(jiān)測 定位技術(shù)　出處：《江西理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：山體滑坡的發(fā)生是山體隨時(shí)間不斷演化的結(jié)果,當(dāng)前滑坡監(jiān)測所采用的各種技術(shù)手段在一定程度上能夠?qū)崿F(xiàn)對滑坡實(shí)施監(jiān)測與預(yù)測,但由于現(xiàn)有監(jiān)測系統(tǒng)或者監(jiān)測技術(shù)很難及時(shí)捕捉滑坡的動(dòng)態(tài)信息而使準(zhǔn)確預(yù)測滑坡的發(fā)生存在很大難度,從而造成巨大損失。研究分析表明,滑坡發(fā)生的條件是坡體不停的運(yùn)動(dòng),當(dāng)坡體位移累積到一定程度,坡體的重力大于對抗阻力滑坡就會(huì)發(fā)生,而無線傳感器網(wǎng)絡(luò)的節(jié)點(diǎn)定位技術(shù)因其能夠獲取監(jiān)測目標(biāo)的地理位置信息而備受關(guān)注,因此將該技術(shù)應(yīng)用于滑坡監(jiān)測,以節(jié)點(diǎn)位移的計(jì)算取代滑坡位移的監(jiān)測,最終實(shí)現(xiàn)滑坡監(jiān)測的目的。本文首先分析了WSN的特性及定位技術(shù),設(shè)計(jì)出滑坡監(jiān)測系統(tǒng)的結(jié)構(gòu),最后選擇無線通信技術(shù)—基于Zig Bee無線傳感器網(wǎng)絡(luò)技術(shù)應(yīng)用在滑坡監(jiān)測上,最終深入分析WSN的節(jié)點(diǎn)定位技術(shù),以對監(jiān)測區(qū)域內(nèi)WSN節(jié)點(diǎn)位置的計(jì)算監(jiān)測坡體運(yùn)動(dòng),從而達(dá)到預(yù)測滑坡發(fā)生的目的。為此,本文主要研究討論內(nèi)容如下:1.分析滑坡監(jiān)測的外部環(huán)境,在此基礎(chǔ)上綜合考慮WSN的應(yīng)用現(xiàn)狀、支撐技術(shù)、節(jié)點(diǎn)設(shè)計(jì)要求,設(shè)計(jì)出應(yīng)用于滑坡的監(jiān)測系統(tǒng)結(jié)構(gòu)。2.介紹分析當(dāng)前的主流無線通信技術(shù),通過分析比較各自的優(yōu)缺點(diǎn),以及綜合考慮滑坡體的特點(diǎn),選取合適的無線通信技術(shù)。3.由于滑坡所處的外部環(huán)境復(fù)雜多變,簡單的將節(jié)點(diǎn)定位算法應(yīng)用于滑坡監(jiān)測并不能滿足定位精度的需求,因此提出一種改進(jìn)的基于RSSI的加權(quán)質(zhì)心定位算法(IWCLA),該算法考慮坡體節(jié)點(diǎn)所處的外部環(huán)境,引入錨節(jié)點(diǎn)誤差系數(shù),實(shí)時(shí)調(diào)整RSSI測距,同時(shí)引入錨節(jié)點(diǎn)環(huán)境因子的概念,將環(huán)境因子和修正距離的商作為算法權(quán)值,增強(qiáng)權(quán)值選取的合理性,降低外部環(huán)境的影響力。本文對IWCLA在Matlab 2012b環(huán)境下模擬實(shí)驗(yàn),同時(shí)還對在同樣環(huán)境條件下的簡單的將距離的倒數(shù)作為權(quán)值的定位算法相比進(jìn)行模擬實(shí)驗(yàn),通過最后的仿真圖形總結(jié)得出,IWCLA對外部環(huán)境有更強(qiáng)的適應(yīng)性。并且將IWCLA應(yīng)用于坡體動(dòng)態(tài)研究避免使用了位移傳感器,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.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P642.22;TP212.9

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本文編號(hào)：1460031