本文關(guān)鍵詞：基于WebGIS的特色林果預(yù)警系統(tǒng)關(guān)鍵技術(shù)研究　出處：《南京信息工程大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 農(nóng)業(yè)監(jiān)測(cè)預(yù)警 預(yù)警分析 氣象報(bào)文 聚類(lèi)分析 三維地形

【摘要】：WebGIS具有良好的用戶(hù)體驗(yàn)、數(shù)據(jù)共享等優(yōu)勢(shì),正越來(lái)越廣泛地應(yīng)用于各類(lèi)災(zāi)害預(yù)警監(jiān)測(cè)系統(tǒng)中。本文以特色林果農(nóng)業(yè)氣象災(zāi)害監(jiān)測(cè)預(yù)警系統(tǒng)為依托,以災(zāi)害監(jiān)測(cè)預(yù)警處理流程為主線,圍繞基礎(chǔ)數(shù)據(jù)集成、災(zāi)害預(yù)警方法、預(yù)警結(jié)果WebGIS建模展示等問(wèn)題開(kāi)展研究。提出了基于XML的全局?jǐn)?shù)據(jù)視圖結(jié)構(gòu)以實(shí)現(xiàn)多源氣象報(bào)文的統(tǒng)一訪問(wèn)；基于線性索引結(jié)構(gòu)解決海量氣象報(bào)文快速定位問(wèn)題；提出了基于模糊理論的預(yù)警模型,提高了預(yù)警結(jié)果評(píng)判的準(zhǔn)確性；并基于GIS空間分析實(shí)現(xiàn)了預(yù)警結(jié)果的基本W(wǎng)ebGIS輸出。針對(duì)三維空間模型建立,提出了基于聚類(lèi)的動(dòng)態(tài)LOD (Levels of Detail)三維地形建模方法。 本文的研究?jī)?nèi)容與成果主要包括： (1)多源數(shù)據(jù)集成研究。針對(duì)多數(shù)據(jù)源、多格式的氣象報(bào)文數(shù)據(jù)整合問(wèn)題,提出基于XML的全局?jǐn)?shù)據(jù)視圖模型,用于數(shù)據(jù)的統(tǒng)一訪問(wèn),從而為預(yù)警結(jié)果評(píng)判提供了數(shù)據(jù)支撐。而線性索引結(jié)構(gòu)的引入解決了海量氣象報(bào)文的快速定位難題,提高了報(bào)文文件的管理效率。 (2)基于模糊理論的預(yù)警研究。針對(duì)當(dāng)前結(jié)構(gòu)化預(yù)警指標(biāo)體系中,多種致災(zāi)因子的綜合評(píng)價(jià)問(wèn)題,基于模糊數(shù)學(xué)的相關(guān)理論,建立了模糊集的隸屬函數(shù),依據(jù)關(guān)系合成與最大隸屬度原則,對(duì)多種氣候因子進(jìn)行綜合研判,產(chǎn)生預(yù)警結(jié)果。在此基礎(chǔ)上,基于GIS空間分析方法,形成WebGIS環(huán)境下的預(yù)警機(jī)制。 (3)三維地形建模。通過(guò)分析DEM (Digital Elevation Model)高程數(shù)據(jù)集的空間自相關(guān)性,本文基于K－means聚類(lèi)分析方法,將數(shù)據(jù)采樣點(diǎn)與地貌特征關(guān)聯(lián)在一起。在此基礎(chǔ)上,基于地理網(wǎng)格重構(gòu)的方法對(duì)地形進(jìn)行簡(jiǎn)化建模,通過(guò)實(shí)驗(yàn)驗(yàn)證了本方法的可行性。對(duì)上述方法進(jìn)一步優(yōu)化,依據(jù)地形的微觀區(qū)域地貌特征,實(shí)現(xiàn)了多分辨率、動(dòng)態(tài)LOD的地形簡(jiǎn)化方法,實(shí)驗(yàn)說(shuō)明本方法可以很好的保持地形特征,提高了圖形顯示效率,為預(yù)警結(jié)果的立體化展示奠定了基礎(chǔ)。 在以上研究基礎(chǔ)上,結(jié)合RIA(富客戶(hù)端應(yīng)用)技術(shù)的WebGIS設(shè)計(jì)思想,設(shè)計(jì)了特色林果原型系統(tǒng),解決了特色林果預(yù)警系統(tǒng)的數(shù)據(jù)處理、預(yù)警評(píng)價(jià)方法、三維可視化輸出等關(guān)鍵問(wèn)題。
[Abstract]:WebGIS has a good user experience, data sharing and other advantages, is widely used in all kinds of disaster early warning and monitoring system. Based on the characteristics of forestry and agricultural meteorological disaster monitoring and early warning system based on disaster monitoring and early warning process as the main line, on the basis of data integration, disaster warning, warning results to carry out research on WebGIS modeling show the proposed unified access to achieve multi-source meteorological global view of data structure based on XML; rapid positioning of massive meteorological index structure based on linear solution; put forward early-warning model based on fuzzy theory to improve the accuracy of early warning evaluation results; and the GIS spatial analysis to achieve early warning results based on basic WebGIS output for three-dimensional space model, proposed a dynamic clustering based on LOD (Levels of Detail) 3D terrain modeling method.
The main contents and results of this paper are as follows:
(1) research on multi-source data integration. Based on multiple data sources, meteorological data integration of multi format, the global view of data model based on XML for unified access to data, so as to provide data support for the evaluation of the early warning results. And the linear index structure is introduced to solve the problem of fast location of massive meteorological message. To improve the efficiency of management of the message file.
(2) early warning research based on fuzzy theory. In view of the current structure of early-warning index system, comprehensive evaluation of various hazard factors, based on fuzzy mathematics theory, a fuzzy set membership function, according to the relationship between the synthesis and the principle of maximum degree of membership, carry out a comprehensive study of various climate factors, this produced the warning results. Based on GIS spatial analysis method based on the formation of early warning mechanism in WebGIS environment.
(3) 3D terrain modeling. Through the analysis of the DEM (Digital Elevation Model) spatial autocorrelation of elevation data sets, this paper based on K-means clustering analysis method, data sampling points associated with the features together. Based on the method of geographic grid reconstruction based on the terrain model. Through the experiment to verify the feasibility of this method. To further optimize the method, based on micro regional geomorphic features of the terrain, realize multi-resolution terrain simplification method, dynamic LOD, the experimental results show that this method can well maintain topographic features, improve the efficiency of the graphics display, laid the foundation for three-dimensional display of the warning results.
On the basis of the above research, combined with the WebGIS design idea of RIA (rich client application) technology, a prototype system of characteristic forest fruit is designed, which solves the key problems of data processing, early warning evaluation method and 3D visual output of characteristic forest early warning system.

【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(lèi)號(hào)】：S126;P208

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