可拓生态建筑设计数据挖掘研究
发布时间：2019-01-27 07:29
【摘要】：生态建筑设计是一个解决复杂矛盾问题的过程，其中的数据和知识量十分庞大。在变换条件下，这些数据也会产生相应的变化。而这些变化的数据正是解决生态建筑设计中矛盾问题的关键。运用可拓数据挖掘理论与方法，可以从这些变化数据中获取与解决矛盾问题有关的重要知识。 可拓生态建筑设计数据挖掘（The Extension Ecological Architecture DesignData Mining，以下简称EEADDM）是面向可拓生态建筑设计所进行的可拓数据挖掘。本文将可拓数据挖掘与可拓生态建筑设计结合，旨在构建EEADDM的理论；建立EEADDM的流程；提出EEADDM的具体的、具有可操作性的方法。 在EEADDM的理论中，本文定义了可拓生态建筑设计，，并阐述了它与可拓建筑设计之间的关系。在此基础上，论述了可拓生态建筑设计数据库的构成，提出了EEADDM的基本概念。最终，明确了EEADDM的目的：生态建筑设计自然矛盾的化解、生态建筑设计地域要素提取及生态建筑设计生态技术选择。 本文建立了可拓模型表达——数据库构建——可拓知识获取的基本流程。可拓模型的表达能够使隐形数据显性化，并为计算机所识别，达到入库条件。数据库的构建中分别对可拓生态建筑设计基础数据库与可拓生态建筑设计知识库进行了介绍和阐述。面向可拓生态建筑设计基础数据库，主要利用可拓分类、传导及可拓聚类知识挖掘方法获取可拓知识；面向可拓生态建筑设计知识库，运用可拓学的原理和方法获取可拓知识。 在EEADDM的方法中，为实现以上提到的EEADDM的目标，通过对生态气候数据库、地理信息数据库、生态仿生知识库的可拓知识挖掘来实现生态建筑设计自然矛盾问题的求解；对地域环境数据库、地域材料数据库、地域文化知识库的可拓知识挖掘来实现生态建筑设计地域要素提取；对“物流系统”数据库、“能流系统”数据库、“信息流系统”技术知识库的可拓是指挖掘来实现生态建筑设计生态技术选择。 本文首次将可拓数据挖掘与生态建筑设计相结合，不仅可以完善生态建筑设计研究的方法体系，而且可以促进建筑学学科产生新的学科增长点。对于EEADDM的研究更将促进计算机辅助生态建筑设计智能化的发展，为生态建筑设计创新提供新的、科学的理论和应用方法。
[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.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU201.5
本文编号：2416047
[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.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU201.5
【引证文献】
相关硕士学位论文 前1条
1 肖俊龙;可拓建筑设计数据挖掘方法研究[D];哈尔滨工业大学;2015年
本文编号：2416047
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