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基于物聯(lián)網(wǎng)技術(shù)的山體滑坡監(jiān)測(cè)及預(yù)警系統(tǒng)研究

發(fā)布時(shí)間:2018-05-16 02:12

  本文選題:山體滑坡 + 物聯(lián)網(wǎng)技術(shù)��; 參考:《南京信息工程大學(xué)》2014年碩士論文


【摘要】:山體滑坡是一種具有很強(qiáng)破壞性的地質(zhì)災(zāi)害,嚴(yán)重威脅著工農(nóng)業(yè)生產(chǎn)和人民生命財(cái)產(chǎn)安全。因此,對(duì)山體滑坡監(jiān)測(cè)及預(yù)警系統(tǒng)的研究具有重要的經(jīng)濟(jì)社會(huì)意義。傳統(tǒng)的山體滑坡監(jiān)測(cè)及預(yù)警系統(tǒng)主要是通過有線網(wǎng)絡(luò)上傳數(shù)據(jù)至主控制臺(tái),再以人工的方式播報(bào)預(yù)警信息。由于山體滑坡監(jiān)測(cè)區(qū)域位于地理?xiàng)l件復(fù)雜的偏遠(yuǎn)地區(qū),使得線路架設(shè)困難、電源供給受限。從而導(dǎo)致傳統(tǒng)的方式自動(dòng)化程度不高,監(jiān)測(cè)精度差,實(shí)時(shí)性低。 為了有效解決傳統(tǒng)山體滑坡監(jiān)測(cè)及預(yù)警系統(tǒng)的弊端,本系統(tǒng)擬采用物聯(lián)網(wǎng)技術(shù)實(shí)現(xiàn)對(duì)山體滑坡監(jiān)測(cè)及預(yù)警系統(tǒng)的設(shè)計(jì)。完成包含系統(tǒng)方案設(shè)計(jì)到軟硬件實(shí)現(xiàn)的整個(gè)過程,可以有效地對(duì)山體滑坡進(jìn)行實(shí)時(shí)精確監(jiān)測(cè)以及智能預(yù)警播報(bào)。 本系統(tǒng)主要從物聯(lián)網(wǎng)的感知層、網(wǎng)絡(luò)層和應(yīng)用層三方面分別介紹了滑坡采集終端機(jī)、主控制臺(tái)上位機(jī)軟件以及報(bào)警終端機(jī)的設(shè)計(jì)與實(shí)現(xiàn)。采集終端機(jī)負(fù)責(zé)將位移、加速度、角速度數(shù)據(jù)以及視頻圖像信息通過無線GPRS與工業(yè)以太網(wǎng)網(wǎng)絡(luò)相結(jié)合的方式,高效實(shí)時(shí)地上傳至主控制臺(tái)。經(jīng)主控制臺(tái)上位機(jī)軟件處理后,智能地向報(bào)警終端機(jī)發(fā)送預(yù)警指令。報(bào)警終端機(jī)收到指令后將會(huì)啟動(dòng)報(bào)警裝置:警報(bào)方式包括報(bào)警器鳴笛,指示燈變化,短信報(bào)警。 本系統(tǒng)可能具有的創(chuàng)新點(diǎn): (1)采用無線與有線網(wǎng)絡(luò)相結(jié)合的方式傳輸數(shù)據(jù),解決了有線部署困難的弊端; (2)添加對(duì)視頻圖像信息的采集,有效解決了無法及時(shí)獲悉災(zāi)害發(fā)生前后的狀況; (3)基于Lyapunov指數(shù)的預(yù)報(bào)算法提高了預(yù)報(bào)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.
【學(xué)位授予單位】:南京信息工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP277;TP391.44;TN929.5

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