基于VR-GIS的城市交通噪声环境的三维可视化研究

发布时间：2018-03-27 18:48

本文选题：交通噪声预测模型　切入点：城市交通噪声环境可视化　出处：《中国海洋大学》2013年硕士论文

【摘要】：随着世界范围内的城市化进程的急剧加快，伴随而生的城市问题也日益加剧，城市噪声污染问题越来越受到世界各国政府和人民的广泛重视，而在这其中，城市交通噪声是极为严重的污染源之一，因此，在城市交通噪声预测模型的基础上，利用虚拟技术（VR）和地理信息系统（GIS），对城市区域内的交通噪声环境进行科学的可视化研究及分析，也成为了广大相关研究领域的学者和技术人员关注的热点，，相关研究成果将更加利于城市规划、交通建设、噪声达标区建设等相关工作的有效合理开展。本文在已有的城市交通噪声研究结果和城市噪声预测分析系统的基础上，利用中国海洋大学信息科学与工程学院海洋信息技术实验室噪声小组在青岛市东西快速路及市南区十五大街现场监测的噪声数据对交通部推荐的城市交通噪声预测模型进行修正，并以此为依据完善噪声预测分析系统的不同方式的可视化功能，其中，重点是对以下三个方面的可视化问题进行研究： 1.简单介绍水平维度的城市交通噪声环境的数据计算模型及计算过程中主要用到的衰减参数的修正，重新定义了可视化过程计算方法中的遮挡衰减和其他衰减模块，比较了旧的噪声预测分析平台采用的噪声预测模型和可视化流程，改善水平维度的城市交通噪声环境可视化结果。 2.简单介绍垂直维度的城市交通噪声环境的数据计算模型及计算过程中主要用到的衰减参数的修正，选取城市交通道路干线两边的高层建筑噪声作为研究对象，考虑城市交通道路干线沿线高层建筑周边的环境状况以及道路中心线到道路两侧高层建筑的距离等因素，参考水平维度城市交通噪声环境可视化功能，完成噪声预测分析系统的垂直维度的高层建筑表面交通噪声环境的可视化。 3.结合已有的水平维度和垂直维度的噪声可视化研究结果，以三维城市交通噪声预测模型为数据计算模型，采用体绘制光线投射算法对城市高层建筑的交通噪声环境进行可视化表达，完成城市高层建筑交通噪声环境的三维可视化功能开发，进一步完善噪声预测分析系统可视化功能。本文通过对上述三个方面的研究，完善了城市环境噪声预测分析系统的可视化功能，改善了旧的噪声预测分析系统的可视化结果，并为三维体绘制技术与城市交通噪声环境可视化研究的结合提供了新的思路。
[Abstract]:With the rapid acceleration of urbanization in the world, the accompanying urban problems are becoming more and more serious. The problem of urban noise pollution has been paid more and more attention by governments and people all over the world. Urban traffic noise is one of the most serious pollution sources. Therefore, based on the prediction model of urban traffic noise, With the help of virtual technology (VRV) and GIS (Geographic Information system), scientific visualization and analysis of traffic noise environment in urban areas have become the focus of attention of scholars and technicians in many related research fields. Related research results will be more conducive to urban planning, traffic construction, noise area construction and other related work to be carried out effectively and reasonably. In this paper, based on the existing research results of urban traffic noise and urban noise prediction and analysis system, Using noise data of Marine Information Technology Laboratory noise Group in Qingdao East-West Expressway and the 15th Street of Southern District of Qingdao City to predict the traffic noise recommended by the Ministry of Communications, China Ocean University School of Information Science and Engineering. The model is modified, Based on this, the visualization function of different ways of noise prediction and analysis system is improved, among which, the focus is on the following three aspects of visualization research:. 1. The data calculation model of horizontal dimension urban traffic noise environment and the modification of the main attenuation parameters used in the calculation process are briefly introduced, and the occlusion attenuation and other attenuation modules in the visual process calculation method are redefined. The noise prediction model and visualization process used in the old noise prediction and analysis platform are compared to improve the visualization results of the horizontal dimension of urban traffic noise environment. 2. The data calculation model of vertical dimension urban traffic noise environment and the modification of attenuation parameters used in the calculation process are introduced briefly. The noise of high-rise buildings on both sides of urban traffic road trunk line is selected as the research object. Considering the environmental conditions around high-rise buildings along urban traffic trunk lines and the distance between the central line of the road and the high-rise buildings on both sides of the road, the visual function of urban traffic noise environment in the reference level dimension is considered. The vertical dimension of the noise prediction system is completed to visualize the traffic noise environment on the surface of high-rise buildings. 3. Based on the existing results of horizontal and vertical dimension noise visualization, the 3D urban traffic noise prediction model is used as the data calculation model. The volume rendering ray-casting algorithm is used to visualize the traffic noise environment of urban high-rise building. The 3D visualization function of traffic noise environment of urban high-rise building is developed, and the visualization function of noise prediction and analysis system is further improved. Through the study of the above three aspects, the visualization function of the urban environmental noise prediction and analysis system is perfected, and the visualization results of the old noise prediction and analysis system are improved. It also provides a new idea for the combination of 3D volume rendering technology and urban traffic noise environment visualization.
【学位授予单位】：中国海洋大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U491.91;P208;TP391.41

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