低碳经济可视化平台的设计实现与仿真

发布时间：2018-03-01 15:34

本文关键词： 低碳经济评价指标可视化技术仿真模拟神经网络　出处：《华中科技大学》2016年硕士论文　论文类型：学位论文

【摘要】：在温室效应愈发严重,全球环境进入危机的大背景下,自英国提出“低碳经济”的这一名词后,国内外关于这个名词的研究就如雨后春笋般兴盛起来。但研读大多数的文章会发现,他们的重点主要放在研究低碳经济含义,低碳经济的发展水平怎么评价,低碳经济发展水平的提升方法这几个方面,而对可视化评估研究得比较少。因此,为实现低碳经济的可视化评价,本文以项目组已研究建立的低碳经济多维度评价指标体系为基础,构建可视化平台,本平台分为指标管理,数据管理,参数管理,仿真管理和系统管理五个功能模块,给低碳经济的评价提供可视化参考。本文首先对研究的背景,目的和意义进行介绍,然后通过文献阅读,对低碳经济,可视化技术,数据可视化仿真模拟进行阐述,找到研究方法。第二部分则是对可视化平台的实现过程进行描述,第三部分将低碳经济多维度评价指标体系的条件,指标模型和时空要素结合,插入GIS技术,神经网络模型,构建一个能够满足指标数据收集整理与存储,数据查询与可视化表达,统计分析,对比分析,趋势分析,仿真模拟等多重功能,其架构为基于客户端/服务器的可视化平台。第四部分则是详述神经网络仿真模拟的实现过程。利用这个平台,可以查看低碳经济中各个指标的数据值,可以直接表现不同的地理尺度的指标,不同的评价维度的经济发展的动态变化,为低碳经济的研究提供技术上的支撑。
[Abstract]:With Greenhouse Effect becoming more serious and the global environment entering a crisis, since the British put forward the term "low-carbon economy", Domestic and foreign studies on this term have sprung up. But reading most of the articles, they will find that they mainly focus on studying the meaning of low-carbon economy and how to evaluate the development level of low-carbon economy. In order to realize the visual evaluation of low-carbon economy, the methods of improving the development level of low-carbon economy are few. Based on the multi-dimensional evaluation index system of low-carbon economy, this paper constructs a visual platform, which is divided into five functional modules: index management, data management, parameter management, simulation management and system management. This paper first introduces the background, purpose and significance of the research, then through literature reading, describes the low-carbon economy, visualization technology, data visualization simulation. The second part is to describe the realization process of the visualization platform, the third part is to combine the condition of multi-dimensional evaluation index system of low-carbon economy, index model and space-time elements, insert GIS technology, neural network model, It can meet the needs of index data collection and storage, data query and visualization, statistical analysis, comparative analysis, trend analysis, simulation, etc. Its architecture is a visual platform based on client / server. The 4th part is a detailed implementation process of neural network simulation. With this platform, we can view the data values of each index in the low-carbon economy. It can directly represent the indicators of different geographical scales and the dynamic changes of economic development in different evaluation dimensions, which provides technical support for the research of low-carbon economy.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.9;F124.5

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