本文選題：煤質(zhì)預(yù)測(cè)　切入點(diǎn)：Kriging插值　出處：《西安科技大學(xué)》2017年碩士論文

【摘要】：煤炭是我國(guó)的主要能源資源,科學(xué)、合理的開(kāi)采一直被煤炭企業(yè)所重視。了解井下煤炭質(zhì)量(以下簡(jiǎn)稱(chēng)煤質(zhì))變化趨勢(shì)及煤層結(jié)構(gòu)分布情況對(duì)于煤炭企業(yè)進(jìn)行生產(chǎn)計(jì)劃、開(kāi)采方案等的制定具有重要指導(dǎo)意義。井下煤質(zhì)預(yù)測(cè)采用的方法是根據(jù)樣本點(diǎn)煤質(zhì)信息對(duì)待預(yù)測(cè)區(qū)域做插值處理,從而達(dá)到對(duì)范圍或任意點(diǎn)的煤質(zhì)進(jìn)行預(yù)測(cè)的目的。傳統(tǒng)的插值方法沒(méi)有考慮樣本點(diǎn)之間的空間自相關(guān)性,且容易受樣本點(diǎn)變化的影響。本文在對(duì)樣本數(shù)據(jù)進(jìn)行離群值分析和正態(tài)校驗(yàn)的基礎(chǔ)上,給出了 Kriging進(jìn)行煤質(zhì)預(yù)測(cè)的具體方法,并針對(duì)變差函數(shù)擬合前的步長(zhǎng)選擇問(wèn)題,提出平均最鄰近距離進(jìn)行優(yōu)化選擇。實(shí)驗(yàn)證明,優(yōu)化后的步長(zhǎng)相比于傳統(tǒng)的經(jīng)驗(yàn)法確定的步長(zhǎng)能擬合出更優(yōu)的變差函數(shù)模型。同時(shí)在該步長(zhǎng)下,分別以球狀模型、指數(shù)模型、高斯模型為基礎(chǔ),進(jìn)行了煤質(zhì)預(yù)測(cè)實(shí)驗(yàn),得出最適合本文數(shù)據(jù)的為指數(shù)模型。在井下工作面三維可視化研究中,以面片表示工作面空間結(jié)構(gòu)時(shí),一般多項(xiàng)式曲面的數(shù)學(xué)解析式對(duì)于復(fù)雜曲面無(wú)法準(zhǔn)確表示,甚至無(wú)法表示。因此本文將B樣條引入工作面的分層模型中。通過(guò)分析煤層煤樣的數(shù)據(jù)特征和存儲(chǔ)結(jié)構(gòu),基于B樣條曲面給出了工作面單層模型和多層模型的統(tǒng)一表達(dá),并通過(guò)反求控制點(diǎn),使得曲面可以精確的通過(guò)已知樣本點(diǎn)。對(duì)多層模型建立過(guò)程中的缺層現(xiàn)象給出了虛擬煤樣的解決方案,實(shí)驗(yàn)結(jié)果表明,B樣條曲面計(jì)算簡(jiǎn)單穩(wěn)定,可以取得較好的建模效果。在深入分析瀏覽器端三維建模優(yōu)勢(shì)和Three.js三維建模原理的基礎(chǔ)上,本文實(shí)現(xiàn)了瀏覽器端工作面的三維可視化。為了降低編碼耦合,設(shè)計(jì)了面向?qū)ο蟮娜S數(shù)據(jù)組織模型,給出了基于數(shù)據(jù)驅(qū)動(dòng)的三維建模方案。并優(yōu)化了數(shù)據(jù)請(qǐng)求時(shí)延和建模腳本文件安全性的問(wèn)題,同時(shí)基于模型拾取實(shí)現(xiàn)了煤質(zhì)指標(biāo)與三維工作面的動(dòng)態(tài)關(guān)聯(lián)。在進(jìn)行旋轉(zhuǎn)、縮放、平移等交互操作時(shí),頁(yè)面均可以做出流暢的響應(yīng)。最終,通過(guò)采用J2EE標(biāo)準(zhǔn),開(kāi)發(fā)了具有基礎(chǔ)信息管理、報(bào)表自動(dòng)生成、煤質(zhì)信息預(yù)測(cè)以及工作面三維可視化功能的Web系統(tǒng),經(jīng)過(guò)實(shí)驗(yàn)測(cè)試效果良好,從而證明了本文研究成果的可行性與實(shí)際應(yīng)用價(jià)值。
[Abstract]:Coal is the main energy resource of our country, scientific and reasonable mining has been paid attention to by coal enterprises all the time. Knowing the change trend of underground coal quality and the distribution of coal seam structure, it is necessary for coal enterprises to plan their production. The method of underground coal quality prediction is to interpolate the predicted area according to the sample point coal quality information. The traditional interpolation method does not consider the spatial autocorrelation between the sample points. On the basis of outlier analysis and normal check of sample data, the concrete method of coal quality prediction by Kriging is given, and the selection of step size before variation function fitting is discussed. It is proved by experiments that the optimized step size can fit a better variation function model than that determined by the traditional empirical method. At the same time, the spherical model and the exponential model are used respectively under the step size. On the basis of Gao Si model, coal quality prediction experiment is carried out, and the index model is obtained, which is the most suitable for the data of this paper. In the 3D visualization study of underground working face, when the face slice is used to represent the spatial structure of the working face, The mathematical solution of the general polynomial surface can not be accurately represented or even represented for the complex surface. Therefore, this paper introduces B-spline into the stratified model of the coal face. By analyzing the data characteristics and storage structure of the coal sample in coal seam, the paper introduces the B-spline into the stratified model of the coal face. Based on B-spline surface, the unified expression of single-layer model and multi-layer model of working face is given, and the control points are obtained by reverse calculation. The surface can pass through the known sample points accurately. The solution to the phenomenon of missing layer in the process of multi-layer model establishment is given. The experimental results show that the B-spline surface is simple and stable. On the basis of deeply analyzing the advantages of browser side 3D modeling and the principle of Three.js 3D modeling, the 3D visualization of browser end face is realized in this paper. In order to reduce coding coupling, The object oriented 3D data organization model is designed, and the data driven 3D modeling scheme is given, and the delay of data request and the security of modeling script file are optimized. At the same time, the dynamic correlation between coal quality index and 3D working face is realized based on model pick-up. When rotating, zooming, translation and other interactive operations, the page can all make smooth response. Finally, by adopting J2EE standard, The Web system, which has the functions of basic information management, automatic generation of report forms, coal quality information prediction and 3D visualization of coal face, has been developed. The experimental test results show that the feasibility and practical application value of the research results in this paper are good.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP311.52;TD82

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 邵徇;張凝凝;;神經(jīng)網(wǎng)絡(luò)在煤質(zhì)預(yù)測(cè)中的應(yīng)用[J];煤質(zhì)技術(shù);2017年01期

2 蔣宇靜;劉建康;王剛;公彬;;基于Bezier-樣條曲線的工作面煤層賦存狀態(tài)預(yù)測(cè)方法[J];山東科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2016年05期

3 荊永濱;代碧波;孫光中;;礦山鉆孔三維模型構(gòu)建與可視化方法[J];金屬礦山;2015年06期

4 李小斌;;淺談我國(guó)煤炭開(kāi)采技術(shù)的發(fā)展趨勢(shì)[J];山東煤炭科技;2015年04期

5 程勖;張明會(huì);;基于泛協(xié)克里格法的空間插值方法研究[J];電腦知識(shí)與技術(shù);2015年12期

6 武強(qiáng);徐華;;數(shù)字礦山中三維地質(zhì)建模方法與應(yīng)用[J];中國(guó)科學(xué):地球科學(xué);2013年12期

7 許華;;基于LRGIS平臺(tái)的煤礦空間數(shù)據(jù)庫(kù)架構(gòu)設(shè)計(jì)[J];煤炭技術(shù);2013年10期

8 王文珂;李思昆;;無(wú)序B樣條曲線的曲面擬合算法[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2013年05期

9 王履華;孫在宏;曾洪云;曾微波;;三維數(shù)字礦山信息集成管理系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[J];金屬礦山;2013年01期

10 周輝;任海軍;馬亮;王丹寧;;MVC設(shè)計(jì)模式及其在信息系統(tǒng)開(kāi)發(fā)中的應(yīng)用[J];軟件導(dǎo)刊;2012年10期

相關(guān)會(huì)議論文 前2條

1 陳興海;賀云;;三維礦業(yè)軟件在我國(guó)應(yīng)用情況綜述[A];中國(guó)采選技術(shù)十年回顧與展望——第三屆中國(guó)礦業(yè)科技大會(huì)論文集[C];2012年

2 車(chē)德福;吳立新;;數(shù)字礦山基礎(chǔ)平臺(tái)-GeoMo~(3D)的功能結(jié)構(gòu)與應(yīng)用[A];第七屆全國(guó)礦山測(cè)量學(xué)術(shù)會(huì)議論文集[C];2007年

相關(guān)博士學(xué)位論文 前2條

1 陳玲俠;礦山空間數(shù)據(jù)處理分析及三維實(shí)體建模應(yīng)用研究[D];長(zhǎng)安大學(xué);2013年

2 楊志高;基于Nurbs曲面的地下三維數(shù)據(jù)模型研究[D];中南大學(xué);2012年

相關(guān)碩士學(xué)位論文 前4條

1 董波;數(shù)字礦山三維地質(zhì)建模及可視化研究[D];中國(guó)地質(zhì)大學(xué)（北京）;2013年

2 李玉梅;基于三次B樣條的曲線、曲面逼近算法的研究[D];南京信息工程大學(xué);2013年

3 譚勇;基于地質(zhì)統(tǒng)計(jì)學(xué)的煤質(zhì)預(yù)測(cè)系統(tǒng)研究與實(shí)現(xiàn)[D];西安科技大學(xué);2010年

4 南良改;基于三次B樣條的三維重建方法的研究[D];武漢理工大學(xué);2009年

，

本文編號(hào)：1660071