本文關(guān)鍵詞：基于GIS的環(huán)境噪聲數(shù)據(jù)分析及圖形化處理技術(shù)研究　出處：《東北石油大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 環(huán)境噪聲 數(shù)據(jù)分析 圖形化表征 色彩渲染 ArcGIS

【摘要】：環(huán)境噪聲數(shù)據(jù)分析及圖形化處理技術(shù),在控制和治理噪聲方面發(fā)揮著重要的作用。本課題環(huán)境噪聲數(shù)據(jù)分析及三維圖形化表征算法研究,它源于黑龍江省自然科學(xué)基金項(xiàng)目:“基于虛擬儀器技術(shù)分布式環(huán)境噪聲自動(dòng)監(jiān)測(cè)方法研究”(項(xiàng)目編號(hào):F201227)。主要任務(wù)是對(duì)系統(tǒng)各噪聲監(jiān)測(cè)點(diǎn)的數(shù)據(jù)進(jìn)行采集、分類存儲(chǔ),然后按特征提取數(shù)據(jù)進(jìn)行分析處理,最后進(jìn)行噪聲數(shù)據(jù)圖形化再現(xiàn)。作為論文的基礎(chǔ)研究?jī)?nèi)容,環(huán)境噪聲數(shù)據(jù)分析與圖形化表征理論基礎(chǔ),首先分析了ArcGIS平臺(tái)中MapObjects和ArcGl S Engine開發(fā)工具及ArcObjects組件功能;其次,針對(duì)環(huán)境噪聲數(shù)據(jù)分析理論基礎(chǔ),分析了環(huán)境噪聲數(shù)據(jù)來源、闡述了ArcGIS中噪聲數(shù)據(jù)庫構(gòu)建機(jī)理,選擇了LabVIEW虛擬仿真驗(yàn)證平臺(tái);最后,針對(duì)環(huán)境噪聲數(shù)據(jù)圖形化表征方法,論述了建模方法、建模軟件選擇及SketchUp軟件平臺(tái);作為論文的核心研究?jī)?nèi)容,環(huán)境噪聲三維聲場(chǎng)圖形化表征算法構(gòu)建,針對(duì)點(diǎn)聲源三維聲場(chǎng)衰減規(guī)律和聲源定位典型算法研究的基礎(chǔ)上,提出了點(diǎn)聲源空間立面近場(chǎng)輻射算法構(gòu)建機(jī)理及其數(shù)學(xué)描述關(guān)系,然后針對(duì)空間插值四種算法進(jìn)行研究和優(yōu)選;作為論文的主要研究?jī)?nèi)容,環(huán)境噪聲圖形化表征系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn),以ArcGIS為平臺(tái),針對(duì)噪聲信息數(shù)據(jù)管理與查詢,系統(tǒng)屬性數(shù)據(jù)庫的構(gòu)建,通過噪聲圖形再現(xiàn)系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn),完成了三維噪聲聲場(chǎng)模型建立及色彩渲染;作為論文的實(shí)驗(yàn)內(nèi)容,針對(duì)創(chuàng)新內(nèi)容單一點(diǎn)聲源聲場(chǎng)對(duì)空間立面噪聲近場(chǎng)輻射圖形表征優(yōu)化算法進(jìn)行了仿真驗(yàn)證與誤差分析,理論上4個(gè)監(jiān)測(cè)節(jié)點(diǎn)以不等邊四邊形布設(shè)是一種優(yōu)化模式。實(shí)驗(yàn)結(jié)果表明:四監(jiān)測(cè)點(diǎn)非均勻布設(shè)優(yōu)化算法能夠?qū)崿F(xiàn)近場(chǎng)噪聲對(duì)單體立面輻射最大點(diǎn)的精準(zhǔn)定位。
[Abstract]:Environmental noise data analysis and graphical processing technology play an important role in noise control and control. It originated from the Natural Science Foundation of Heilongjiang Province: "Research on distributed Environmental noise automatic Monitoring method based on Virtual instrument Technology" (item No.: F201227). The main task is to collect the data of the noise monitoring points of the system. Classification storage, then extract the data according to the characteristics for analysis and processing, and finally carry on the noise data graphical reproduction. As the basic research content of the paper, environmental noise data analysis and graphical representation theory foundation. Firstly, the development tools of MapObjects and ArcGl S Engine and the function of ArcObjects component in ArcGIS platform are analyzed. Secondly, according to the theoretical basis of environmental noise data analysis, the source of environmental noise data is analyzed, the construction mechanism of noise database in ArcGIS is expounded, and the LabVIEW virtual simulation verification platform is selected. Finally, aiming at the graphical representation method of environmental noise data, the modeling method, modeling software selection and SketchUp software platform are discussed. As the core research content of the thesis, the 3D acoustic field graphical representation algorithm of ambient noise is constructed, based on the research of the attenuation law of 3D sound field of point sound source and the typical algorithm of sound source location. The construction mechanism and mathematical description of the near field radiative algorithm for the vertical plane of point sound source are proposed, and then four spatial interpolation algorithms are studied and optimized. As the main research content of this paper, the design and implementation of the graphical representation system of environmental noise, based on ArcGIS, aiming at the noise information data management and query, the construction of the system attribute database. Through the design and implementation of the noise graphics reproduction system, the 3D noise sound field model and color rendering are completed. As the experimental content of the paper, the simulation and error analysis of the optimization algorithm for the spatial elevation noise near field radiation pattern representation are carried out for the single point sound source sound field of the innovative content. In theory, the four monitoring nodes are arranged in unequal quadrilateral, and the experimental results show that the non-uniform layout optimization algorithm of the four monitoring points can accurately locate the maximum radiation point of the single vertical surface by near-field noise.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X839.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 崔陽;王華;喬淑娟;;基于GIS的空間數(shù)據(jù)庫構(gòu)建與應(yīng)用研究[J];微計(jì)算機(jī)信息;2006年06期

，

本文編號(hào)：1418135