本文關(guān)鍵詞： 低碳經(jīng)濟 評價指標 可視化技術(shù) 仿真模擬 神經(jīng)網(wǎng)絡(luò)　出處：《華中科技大學》2016年碩士論文　論文類型：學位論文

【摘要】：在溫室效應(yīng)愈發(fā)嚴重,全球環(huán)境進入危機的大背景下,自英國提出“低碳經(jīng)濟”的這一名詞后,國內(nèi)外關(guān)于這個名詞的研究就如雨后春筍般興盛起來。但研讀大多數(shù)的文章會發(fā)現(xiàn),他們的重點主要放在研究低碳經(jīng)濟含義,低碳經(jīng)濟的發(fā)展水平怎么評價,低碳經(jīng)濟發(fā)展水平的提升方法這幾個方面,而對可視化評估研究得比較少。因此,為實現(xiàn)低碳經(jīng)濟的可視化評價,本文以項目組已研究建立的低碳經(jīng)濟多維度評價指標體系為基礎(chǔ),構(gòu)建可視化平臺,本平臺分為指標管理,數(shù)據(jù)管理,參數(shù)管理,仿真管理和系統(tǒng)管理五個功能模塊,給低碳經(jīng)濟的評價提供可視化參考。本文首先對研究的背景,目的和意義進行介紹,然后通過文獻閱讀,對低碳經(jīng)濟,可視化技術(shù),數(shù)據(jù)可視化仿真模擬進行闡述,找到研究方法。第二部分則是對可視化平臺的實現(xiàn)過程進行描述,第三部分將低碳經(jīng)濟多維度評價指標體系的條件,指標模型和時空要素結(jié)合,插入GIS技術(shù),神經(jīng)網(wǎng)絡(luò)模型,構(gòu)建一個能夠滿足指標數(shù)據(jù)收集整理與存儲,數(shù)據(jù)查詢與可視化表達,統(tǒng)計分析,對比分析,趨勢分析,仿真模擬等多重功能,其架構(gòu)為基于客戶端/服務(wù)器的可視化平臺。第四部分則是詳述神經(jīng)網(wǎng)絡(luò)仿真模擬的實現(xiàn)過程。利用這個平臺,可以查看低碳經(jīng)濟中各個指標的數(shù)據(jù)值,可以直接表現(xiàn)不同的地理尺度的指標,不同的評價維度的經(jīng)濟發(fā)展的動態(tài)變化,為低碳經(jīng)濟的研究提供技術(shù)上的支撐。
[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.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP391.9;F124.5

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