本文選題：滑坡　切入點(diǎn)：小波　出處：《南京郵電大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：滑坡是地殼表層巖體的一種災(zāi)變地質(zhì)現(xiàn)象,是一種在山地比較常見的地質(zhì)災(zāi)害�；聻�(zāi)害由于它的突發(fā)性,難以預(yù)防,不僅造成每年至少兩百多億元的經(jīng)濟(jì)損失,更會(huì)對(duì)人民的生命安全構(gòu)成威脅。因此,開展滑坡監(jiān)測(cè)研究,就能避免造成大的經(jīng)濟(jì)與安全的破壞,對(duì)我國(guó)社會(huì)主義建設(shè)具有十分重要的現(xiàn)實(shí)意義。本文首先研究了基于小波與小波包變換的信號(hào)去噪,重點(diǎn)分析了閾值法對(duì)信號(hào)噪聲的處理,其中分別采用了小波軟、硬閾值法和小波包軟、硬閾值法對(duì)滑坡位移數(shù)據(jù)進(jìn)行了去噪,從仿真結(jié)果分析得出給小波硬閾值法在處理低頻數(shù)據(jù)時(shí)時(shí)效果最佳。其次以滑坡位移為分析數(shù)據(jù),提出了通過小波變換模極大值識(shí)別滑坡階段的變化的方法。滑坡階段產(chǎn)生變化時(shí),會(huì)出現(xiàn)突變點(diǎn)。以小波分析為工具,可以通過小波變換奇異性檢測(cè)原理以及模極大值理論,尋找突變點(diǎn),以確定滑坡階段是否改變。最后通過數(shù)據(jù)仿真,準(zhǔn)確地定位了新灘滑坡與臥龍寺滑坡的階段變化點(diǎn)。考慮到滑坡危險(xiǎn)性分析的不確定性、隨機(jī)性和模糊性,應(yīng)用模糊近似理論和最大隸屬度的原則對(duì)滑坡危險(xiǎn)性進(jìn)行評(píng)判分析。選取影響危險(xiǎn)性最大的4個(gè)因素用于模糊評(píng)判分析研究,并根據(jù)層次分析法來(lái)確定每個(gè)影響因素的權(quán)重,最后懫用模糊綜合評(píng)判分析方法判斷無(wú)錫橫山寺的危險(xiǎn)性.最后介紹了網(wǎng)絡(luò)化滑坡監(jiān)測(cè)系統(tǒng)的整體設(shè)計(jì)與實(shí)現(xiàn),系統(tǒng)主要分為前端滑坡數(shù)據(jù)采集基站、無(wú)線通信GPRS傳輸模塊、終端上位機(jī)數(shù)據(jù)監(jiān)測(cè)中心三個(gè)部分。選用STM32作為數(shù)據(jù)采集基站的核心,通過各種測(cè)量傳感器采集滑坡有效數(shù)據(jù),并實(shí)現(xiàn)了前端界面顯示、自動(dòng)采集及存儲(chǔ)等特點(diǎn)。為了實(shí)現(xiàn)遠(yuǎn)程通信,采用GPRS模塊與前端相連,傳輸數(shù)據(jù)。監(jiān)測(cè)中心程序由C#開發(fā)的用戶界面模塊和SQL2005開發(fā)的數(shù)據(jù)庫(kù)模塊組成,將接收到的數(shù)據(jù)信息傳送到上位機(jī)的數(shù)據(jù)庫(kù)保存,并借助用戶界面對(duì)數(shù)據(jù)進(jìn)行處理和查詢的等功能。
[Abstract]:Landslide is a catastrophic geological phenomenon of the surface rock mass of the earth's crust, and it is a common geological disaster in mountainous areas. Because of its sudden occurrence, landslide disaster is difficult to prevent, which not only results in economic losses of at least 20 billion yuan per year. It will also pose a threat to the safety of people's lives. Therefore, the development of landslide monitoring research can avoid causing major economic and security damage. This paper first studies the signal denoising based on wavelet transform and wavelet packet transform, and analyzes the threshold method to deal with the signal noise. Hard threshold method and wavelet packet soft, hard threshold method are used to Denoise the landslide displacement data. From the analysis of the simulation results, it is concluded that the wavelet hard threshold method is the best in dealing with the low frequency data. Secondly, the landslide displacement is taken as the analysis data. In this paper, a method of identifying the change of landslide stage by wavelet transform modulus maximum is put forward. When the landslide stage changes, there will be abrupt changes. Using wavelet analysis as a tool, the singularity detection principle of wavelet transform and the modulus maximum theory can be adopted. In order to determine whether the landslide stage changes or not, the abrupt change points of Xintan landslide and Wolongsi landslide are accurately located by data simulation. Considering the uncertainty, randomness and fuzziness of landslide risk analysis, Applying the theory of fuzzy approximation and the principle of maximum membership degree, the landslide risk is evaluated and analyzed. Four factors which have the greatest influence on landslide risk are selected for fuzzy evaluation analysis and the weight of each factor is determined according to the analytic hierarchy process (AHP). Finally, the fuzzy comprehensive evaluation and analysis method is used to judge the danger of Hengshan Temple in Wuxi. Finally, the overall design and implementation of the network landslide monitoring system are introduced. The system is mainly divided into front-end landslide data acquisition base station and wireless communication GPRS transmission module. STM32 is selected as the core of the data acquisition base station, and the landslide effective data is collected through various measuring sensors, and the front end interface is displayed. In order to realize the remote communication, the GPRS module is used to connect with the front end and transmit the data. The monitoring center program consists of the user interface module developed by C # and the database module developed by SQL2005. The received data information is transferred to the database of the host computer to save, and the functions of processing and querying the data with the help of the user interface.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P642.22

【相似文獻(xiàn)】

相關(guān)期刊論文 前8條

1 劉麗梅;劉齊躍;張靜;;基于小波變換模極大值的去噪方法研究[J];河北工業(yè)科技;2010年06期

2 張亞新;耿則勛;陳波;馬智剛;;基于NSWT模極大值的PSF估計(jì)[J];測(cè)繪科學(xué)技術(shù)學(xué)報(bào);2008年01期

3 徐學(xué)勇;程康;;爆破震動(dòng)信號(hào)模極大值小波消噪方法的改進(jìn)[J];爆炸與沖擊;2009年02期

4 劉剛;楊杰;汪立新;高江;王曉梅;;慣組外場(chǎng)標(biāo)定時(shí)振動(dòng)干擾的檢測(cè)與提取[J];噪聲與振動(dòng)控制;2011年02期

5 劉李鸝;高智勇;劉向明;;基于小波變換的模極大值圖像邊緣檢測(cè)算法[J];中南民族大學(xué)學(xué)報(bào)(自然科學(xué)版);2006年04期

6 于國(guó)梁;張一云;賀梁國(guó);;小波分析法檢測(cè)γ譜特征峰[J];原子能科學(xué)技術(shù);2008年11期

7 倪秀靜;郭科;許強(qiáng);;基于小波變換模極大值的滑坡監(jiān)測(cè)數(shù)據(jù)處理方法及其實(shí)現(xiàn)[J];物探化探計(jì)算技術(shù);2006年02期

8 ;[J];;年期

相關(guān)會(huì)議論文 前1條

1 孟宗;戴桂平;劉彬;林洪彬;;基于模極大值小波域的包絡(luò)去噪算法研究[A];第七屆青年學(xué)術(shù)會(huì)議論文集[C];2005年

相關(guān)碩士學(xué)位論文 前4條

1 田文龍;無(wú)創(chuàng)胎兒心電信號(hào)提取方法的研究[D];天津理工大學(xué);2015年

2 王思遠(yuǎn);滑坡監(jiān)測(cè)系統(tǒng)數(shù)據(jù)采集與處理的研究與實(shí)現(xiàn)[D];南京郵電大學(xué);2015年

3 聶雙雙;基于模極大值特征提取的超聲波海底沉積物分類識(shí)別研究[D];中南大學(xué);2008年

4 齊翠麗;基于小波閾值法和模極大值法的語(yǔ)音去噪算法研究[D];燕山大學(xué);2012年

，

本文編號(hào)：1605036