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研究生: 秦承渙
Chin, Cheng-Huan
論文名稱: 模糊推論應用於百葉窗與節能自動化控制之建立
Development of automated control of split blinds and energy saving based on fuzzy inference
指導教授: 潘南飛
Pan, Nang-Fei
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 47
中文關鍵詞: 模糊推論自動控制百葉窗節能分析
外文關鍵詞: fuzzy inference, automatic control, split blind, energy analysis
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  • 由於全球暖化效應,許多研究開始圍繞著如何透過節能減碳來尋求永續發展。而在土木工程中,綠建築即是重要的一環。在建築物建造完成後,綠建築在其使用年限內,透過永續設計,對於能源的節約及再利用,便是最貼近使用者也最直觀的方式。
    本研究提出透過Mamdani模糊推論自動控制系統,即時推算出百葉窗葉片的最佳的角度,使陽光所給予建築物內部的最有效的利用,達到智慧節能的目的。透過氣象觀測的歷史資料判斷依據,可以初步建立出模糊推論需要的輸入值及輸出值以及推導出模糊推論的規則。進一步利用Matlab的Fuzzy Logic Toolbox來做大量且即時的運算便可以用電腦自動控制的方式來使百葉窗葉片的角度可以自動隨著陽光的照射做變化。並透過室內溫度及光源分布來進行節能分析以此驗證此模式對於節省能源之成效。

    This study presents the automatic control system by fuzzy inference Mamdani, instantly calculate the optimum angle of split blind blades, so sunlight give the most efficient use of the building interior, to achieve the purpose of saving wisdom. Through judgments based on historical data of meteorological observations, we can initially establish the input value and output value of fuzzy inference rules needed and fuzzy inference deduced. Further use of Matlab Fuzzy Logic Toolbox to do large and immediate operation can be automatically controlled by a computer to make way split blind blade angle automatically changes do with sunlight. Through the indoor temperature and light distribution to permit this mode for energy conservation analysis of the effectiveness of energy saving.

    摘要 I 誌謝 IV 目錄 V 表目錄 VII 圖目錄 VIII 第一章 緒論 1 1.1研究背景與動機 1 1.2研究目的 3 1.3研究流程 4 1.4研究架構 5 第二章 文獻回顧 6 2.1百葉窗控制 6 2.2模糊理論 8 2.3模糊推論 9 2.3.1模糊推論的方法 9 2.3.2解模糊化法 10 2.3.3間接模糊推論(Fuzzy approximate reasoning) 10 2.3.4適應性類神經模糊推論 11 2.4模糊控制 12 2.4.1傳統控制的限制 12 2.4.2模糊控制的建構 13 2.5陽光與節能之間的關係 14 2.5.1陽光與空調關係 14 2.5.2陽光與照明的關係 15 2.5.3百葉窗葉片角度與室內節能關係 16 第三章 研究方法 17 3.1模糊運算 17 3.1.1模糊集合 17 3.1.2隸屬函數 18 3.1.3模糊集合運算 19 3.1.4模糊關係 21 3.1.5模糊關係運算 22 3.1.6模糊法則 23 3.1.7模糊推論 23 3.1.8解模糊法 24 3.2說明語意變數並建立隸屬函數 25 3.2.1日照強度 25 3.2.2時段 28 3.2.3百葉窗角度 30 3.3節能計算 32 3.3.1陽光對室內溫度的影響 32 第四章 案例分析與探討 36 第五章 結論與建議 44 5.1結論 44 5.2建議 44 參考文獻 45

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