【摘要】：生態(tài)建筑設計是一個解決復雜矛盾問題的過程，其中的數(shù)據(jù)和知識量十分龐大。在變換條件下，這些數(shù)據(jù)也會產(chǎn)生相應的變化。而這些變化的數(shù)據(jù)正是解決生態(tài)建筑設計中矛盾問題的關鍵。運用可拓數(shù)據(jù)挖掘理論與方法，可以從這些變化數(shù)據(jù)中獲取與解決矛盾問題有關的重要知識。 可拓生態(tài)建筑設計數(shù)據(jù)挖掘（The Extension Ecological Architecture DesignData Mining，以下簡稱EEADDM）是面向可拓生態(tài)建筑設計所進行的可拓數(shù)據(jù)挖掘。本文將可拓數(shù)據(jù)挖掘與可拓生態(tài)建筑設計結(jié)合，旨在構建EEADDM的理論；建立EEADDM的流程；提出EEADDM的具體的、具有可操作性的方法。 在EEADDM的理論中，本文定義了可拓生態(tài)建筑設計，，并闡述了它與可拓建筑設計之間的關系。在此基礎上，論述了可拓生態(tài)建筑設計數(shù)據(jù)庫的構成，提出了EEADDM的基本概念。最終，明確了EEADDM的目的：生態(tài)建筑設計自然矛盾的化解、生態(tài)建筑設計地域要素提取及生態(tài)建筑設計生態(tài)技術選擇。 本文建立了可拓模型表達——數(shù)據(jù)庫構建——可拓知識獲取的基本流程。可拓模型的表達能夠使隱形數(shù)據(jù)顯性化，并為計算機所識別，達到入庫條件。數(shù)據(jù)庫的構建中分別對可拓生態(tài)建筑設計基礎數(shù)據(jù)庫與可拓生態(tài)建筑設計知識庫進行了介紹和闡述。面向可拓生態(tài)建筑設計基礎數(shù)據(jù)庫，主要利用可拓分類、傳導及可拓聚類知識挖掘方法獲取可拓知識；面向可拓生態(tài)建筑設計知識庫，運用可拓學的原理和方法獲取可拓知識。 在EEADDM的方法中，為實現(xiàn)以上提到的EEADDM的目標，通過對生態(tài)氣候數(shù)據(jù)庫、地理信息數(shù)據(jù)庫、生態(tài)仿生知識庫的可拓知識挖掘來實現(xiàn)生態(tài)建筑設計自然矛盾問題的求解；對地域環(huán)境數(shù)據(jù)庫、地域材料數(shù)據(jù)庫、地域文化知識庫的可拓知識挖掘來實現(xiàn)生態(tài)建筑設計地域要素提取；對“物流系統(tǒng)”數(shù)據(jù)庫、“能流系統(tǒng)”數(shù)據(jù)庫、“信息流系統(tǒng)”技術知識庫的可拓是指挖掘來實現(xiàn)生態(tài)建筑設計生態(tài)技術選擇。 本文首次將可拓數(shù)據(jù)挖掘與生態(tài)建筑設計相結(jié)合，不僅可以完善生態(tài)建筑設計研究的方法體系，而且可以促進建筑學學科產(chǎn)生新的學科增長點。對于EEADDM的研究更將促進計算機輔助生態(tài)建筑設計智能化的發(fā)展，為生態(tài)建筑設計創(chuàng)新提供新的、科學的理論和應用方法。
[Abstract]:Ecological architecture design is a process to solve complex contradictions, in which the amount of data and knowledge is very large. Under the transformation condition, these data also can produce the corresponding change. And the data of these changes is the key to solve the contradiction problem in ecological architecture design. By using the theory and method of extensible data mining, important knowledge related to solving contradiction problems can be obtained from these changing data. Extensible ecological architecture design data mining (The Extension Ecological Architecture DesignData Mining,) is a kind of extensible data mining for extension ecological architecture design. In this paper, extension data mining is combined with extension ecological architecture design to construct the theory of EEADDM, to establish the flow of EEADDM, and to put forward the concrete and operable method of EEADDM. In the theory of EEADDM, this paper defines the design of extensible ecological architecture and expounds the relationship between it and the design of extensible architecture. On this basis, this paper discusses the structure of extensible ecological architecture design database, and puts forward the basic concept of EEADDM. Finally, the purpose of EEADDM is made clear: the solution of the natural contradiction in the design of ecological architecture, the extraction of regional elements in the design of ecological architecture and the selection of ecological technology in the design of ecological architecture. In this paper, the basic process of extension model representation-database construction-extension knowledge acquisition is established. The representation of the extension model can make the invisible data explicit and recognized by the computer and reach the storage condition. In the construction of the database, the basic database and the knowledge base of the extensible ecological architecture design are introduced and expounded respectively. The basic database of extensible ecological architecture design mainly uses extension classification, transmission and extension clustering knowledge mining method to obtain extension knowledge, and applies extension theory and method to obtain extension knowledge for extension ecological architecture design knowledge base. In the method of EEADDM, in order to realize the goal of EEADDM mentioned above, the natural contradiction problem of ecological architecture design can be solved by mining the extension knowledge of ecological climate database, geographical information database and ecological bionic knowledge base. The regional environment database, the regional material database and the extension knowledge mining of the regional culture knowledge base are used to realize the extraction of the regional elements in the ecological architecture design. The extension of "logistics system" database, "energy flow system" database and "information flow system" technology knowledge base refers to mining to realize ecological technology selection of ecological architecture design. In this paper, extension data mining and ecological architecture design are combined for the first time, which can not only perfect the research method system of ecological architecture design, but also promote the subject of architecture to produce a new subject growth point. The research of EEADDM will promote the intelligent development of computer aided ecological architecture design and provide new scientific theory and application methods for the innovation of ecological architecture design.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TU201.5

【引證文獻】

相關碩士學位論文 前1條

1 肖俊龍;可拓建筑設計數(shù)據(jù)挖掘方法研究[D];哈爾濱工業(yè)大學;2015年

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