本文關(guān)鍵詞： 滑坡 點(diǎn)云 三角網(wǎng) 數(shù)據(jù)處理 模糊計(jì)算　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】：滑坡是我國(guó)最為常見(jiàn)且多發(fā)的一種地質(zhì)災(zāi)害。由于滑坡監(jiān)測(cè)預(yù)防的時(shí)效性差,盡管國(guó)家投入大量的資金進(jìn)行滑坡治理,但我國(guó)滑坡地質(zhì)災(zāi)害依然較為嚴(yán)重,據(jù)統(tǒng)計(jì)每年因滑坡災(zāi)害造成的直接經(jīng)濟(jì)損失高達(dá)20億元,因此滑坡監(jiān)測(cè)與預(yù)防迫在眉睫。目前,三維激光掃描儀技術(shù)已經(jīng)成熟地應(yīng)用于滑坡監(jiān)測(cè),為滑坡的預(yù)防奠定了數(shù)據(jù)基礎(chǔ),則滑坡監(jiān)測(cè)預(yù)防的核心在于數(shù)據(jù)后處理,然而數(shù)據(jù)后處理存在兩方面問(wèn)題：一是由于現(xiàn)用的曲面重構(gòu)方法應(yīng)用于滑坡表面重構(gòu)中曲面邊界適應(yīng)性較差等缺點(diǎn),導(dǎo)致影響滑坡表面模型的構(gòu)建精度；二是數(shù)據(jù)分析方面,現(xiàn)今的數(shù)據(jù)分析方法雖然能通過(guò)建立滑坡表面的整體模型,來(lái)對(duì)滑坡做出整體變形監(jiān)測(cè),但未能考慮滑坡變形與影響因素之間的聯(lián)系,這對(duì)于探索滑坡變形規(guī)律與滑坡穩(wěn)定性分析還遠(yuǎn)遠(yuǎn)不夠。這些不足直接導(dǎo)致滑坡監(jiān)測(cè)數(shù)據(jù)處理分析效率低和準(zhǔn)確性差。為此,通過(guò)選用曲面重建方法中更加靈活的三角網(wǎng)模型,并結(jié)合逐點(diǎn)插入算法和分塊算法進(jìn)行三角網(wǎng)的構(gòu)建,建立滑坡表面DEM進(jìn)行點(diǎn)云數(shù)據(jù)的特征信息提取,進(jìn)而為滑坡變形分析提供資料；基于模糊計(jì)算原理,確定滑坡變形與各影響因子之間的作用大小。同時(shí)采用C#語(yǔ)言研制基于點(diǎn)云的滑坡數(shù)據(jù)處理原型系統(tǒng),該原型系統(tǒng)具有界面操作友好、快速獲取滑坡特征信息、滑坡變形與各影響因子關(guān)系可定量計(jì)算等特點(diǎn)。將其運(yùn)用于某滑坡監(jiān)測(cè)實(shí)例當(dāng)中,得到了較為形象直觀的滑坡表面模型,并基于此獲得了該滑坡的變形等特征信息,并通過(guò)影響因子的量化,得出引起該滑坡變形的影響因子作用力最大的是人類工程活動(dòng)。實(shí)驗(yàn)表明,原型系統(tǒng)功能運(yùn)行可靠,通過(guò)引用三角網(wǎng)建模方法和滑坡模糊計(jì)算綜合評(píng)估模型,實(shí)現(xiàn)了滑坡特征信息快速獲取以及滑坡影響因子的定量計(jì)算,使得滑坡監(jiān)測(cè)預(yù)防準(zhǔn)確可靠,滿足基于點(diǎn)云的滑坡數(shù)據(jù)處理與分析的研究工作需求,同時(shí)也為滑坡數(shù)據(jù)處理提供全新的思路。
[Abstract]:Landslide is one of the most common and frequent geological disasters in China. Because of the poor timeliness of landslide monitoring and prevention, although the state has invested a lot of funds for landslide control, the landslide geological hazard in China is still relatively serious. According to statistics, the direct economic loss caused by landslide disasters is as high as 2 billion yuan per year, so landslide monitoring and prevention are urgent. At present, 3D laser scanner technology has been used in landslide monitoring. It lays a data base for landslide prevention, so the core of landslide monitoring and prevention lies in data post-processing. However, there are two problems in data post-processing: one is that the surface boundary adaptability of the current surface reconstruction method is poor, which results in the influence of the landslide surface model construction accuracy; the other is the data analysis. Although the present data analysis method can monitor the whole deformation of the landslide by establishing the whole model of the landslide surface, it fails to consider the relationship between the landslide deformation and the influencing factors. This is far from enough to explore the law of landslide deformation and the analysis of landslide stability, which directly leads to the low efficiency and poor accuracy of landslide monitoring data processing and analysis. Combined with point-by-point insertion algorithm and block algorithm to construct triangle network, establish the landslide surface DEM to extract the feature information of point cloud data, and then provide data for landslide deformation analysis, based on the principle of fuzzy calculation, At the same time, using C # language, a landslide data processing prototype system based on point cloud is developed. The prototype system has friendly interface and can obtain landslide characteristic information quickly. The relationship between landslide deformation and various influencing factors can be calculated quantitatively. By applying it to a landslide monitoring example, a more visual landslide surface model is obtained, and the characteristic information such as deformation of the landslide is obtained. Through the quantification of the influencing factors, it is concluded that the most influential force of the factors causing the landslide deformation is the human engineering activities. The experimental results show that the function of the prototype system is reliable. By using the triangle network modeling method and the comprehensive evaluation model of landslide fuzzy calculation, the landslide characteristic information is obtained quickly and the quantitative calculation of landslide influence factors is realized, which makes landslide monitoring and prevention accurate and reliable. It meets the research requirements of landslide data processing and analysis based on point cloud, and also provides a new way of thinking for landslide data processing.
【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

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相關(guān)期刊論文 前1條

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本文編號(hào)：1553184