在化石燃料能源耗竭的時代，除了積極開發替代的再生能源之外，如何省能也將是一個重要的研究議題。在地狹人稠的台灣與房屋建築日益密集化，主要還是依賴室內送風機與空調箱來提供新鮮的冷空氣。但這些設備多半缺乏人工智慧，且沒有環境舒適與否的評判標準，所以無法將環境控制在最佳舒適度的範圍，因此常常造成空調設備「過度控制」的情況發生，造成不必要的能源消耗。

本文最主要之研究是以舒適度指標(Predicted Mean Vote, PMV)結合模糊控制理論追尋最佳舒適度，應用Labview圖控軟體開發舒適度監控程式，並根據ISO 7730中所採用的舒適度指標(Predicted Mean Vote, PMV)與不滿意度指標(Predicted Percent of Dissatisfied, PPD )作為舒適度的控制標準。當感知器擷取到環境的溫濕度變化後，可透過LabView以Online Real Time的方式將所在環境的舒適度(PMV)與不滿意度(PPD)計算出來，並利用模糊控制理論，控制具有人工智慧的無段輸出設備(AC STEPLESS FAN與AC STEPLESS HEATER)，將環境舒適度控制在PMV=1附近。

最後以舒適度案例模擬、加入隨機溫濕變化的舒適度模擬與十二小時舒適度自動控制三種不同的測試項目，觀察PMV FUZZY於不同的測試條件之下是否能將環境的舒適度控制在PMV=1附近之位置。由本文實測結果顯示，PMV FUZZY在面對不同的環境或遭受到環境突然的改變時，皆能順利的將環境舒適度控在PMV=1附近，達到最佳舒適度的控制目標。

The exhausting fossil fuels have stimulated heating researches on alternative renewable energy, as well as energy friendly studies. In a country like Taiwan, with high density on population and buildings, fresh cold air are supplied by either fan-coil units or air-condition units. However, with the lack of intelligent control and poor justification on thermal comfort, these machines failed to provide optimal thermal comfort, a situation that always leads to "excessive control" and energy waste as a consequence.

Optimal thermal comfort is pursued by using PMV fuzzy control theory, along with thermal comfort monitoring system derived from LabView icon-control software. Thermal Comfort indices such as Predicted Mean Vote (PMV) and Predicted Percent of Dissatisfied (PPD) according to the ISO 7730 are used as indicators of thermal comfort.Sensors, conscious of variations in humidity and temperatures, can figure out PMV and PPD via LabView Online Real Time calculation, and then we can control the environment comfort around PMV=1 next by using fuzzy control theory as well as energy efficient equipment such as AC stepless fans and AC stepless heaters.

Many comfort simulation cases, comfort simulation with random humidity and temperatures, and a 12-hour automatic control, were presented as three testing items to check whether PMV FUZZY algorithm is competitive in fixing the environment thermal comfort around PMV=1. The confirmation of this question can be proved by this empirical study.

中文摘要……………………………iii
英文摘要……………………………v
目錄…………………………………v
圖次…………………………………ix
表次…………………………………xv
第 一 章 緒論…………………………………1
1.1研究背景與動機………………………………1
1.2研究方法與目的………………………………1
1.3論文架構………………………………………2
第 二 章 系統架構……………………………4
2.1前言……………………………………………4
2.2通訊與控制設備………………………………5
2.3子機規格………………………………………7
2.4感知器規格與操作範圍………………………20
2.4.1溫度感知器…………………………………20
2.4.2濕度感知器…………………………………22
2.5熱電致冷晶片(TCC)……………………………24
2.5.1熱電致冷晶片原理…………………………25
2.5.2熱電致冷晶片規格與組裝方式……………27
第 三 章 熱舒適度簡介…………………………30
3.1前言………………………………………………30
3.2熱舒適度文獻回顧………………………………30
3.2.1美國冷凍空調協會(ASHRAE…………………31
3.2.2國內熱舒適指標………………………………35
3.2.3 ISO7730之熱舒適指標PMV與PPD…………35
3.3熱舒適度計算…………………………………….37
3.3.1人體之熱平衡方程式…………………………37
3.3.2人體熱舒適度PMV模型………………………49
第 四 章 模糊理論與應用………………………53
4.1前言………………………………………………53
4.2模糊集合簡介…………………………………….54
4.2.1明確集合………………………………………54
4.2.2模糊集合………………………………………55
4.3歸屬函數…………………………………………56
4.4語意變數及模糊規則…………………………….57
4.5模糊推論引擎……………………………………58
4.6解模糊化…………………………………………58
4.7模糊系統之設計…………………………………60
4.7.1 PMV模糊系統簡介……………………………60
4.7.2 PMV模糊系統架構……….……………………61
4.7.3 PMV模糊系統歸屬函數…….…………………62
4.7.4 PMV模糊系統規則庫……….……………….…64
4.7.5 PMV模糊系統測試結果………….……………65
第 五 章 元件特性分析……………………………68
5.1前言…………………………………………………68
5.2舒適度模擬實驗簡介………………………………69
5.3元件特性分析-交流無段風扇(AC STEPLESS FAN)..73
5.3.1 AC STEPLESS FAN送風之特性分析………73
5.3.2 AC STEPLESS FAN抽風之特性分析………76
5.3.3 AC STEPLESS FAN送/抽風於相同電流時各項數據比較……………………………………………………78
5.3.4 AC STEPLESS FAN送/抽風於不同電流時各項數據比較……………………………………………………82
5.4元件特性分析-交流風扇(AC FAN)………………85
5.5元件特性分析-交流無段加熱器(AC STEPLESS HEATER)………………………………………………………90
5.6元件特性分析-熱電致冷晶片(TCC)……………..93
第 六 章 案例模擬與結果測試………………….96
6.1前言………………………………………………96
6.2舒適度監控程式…………………………………96
6.3舒適度監控程式結合手機遠端監控軟體………99
6.3.1 APP監控舒適度實際測試……………………101
6.4舒適度案例模擬…………………………………103
6.4.1高溫高濕環境模擬…………………………….104
6.4.2高溫低濕環境模擬……………………………107
6.4.3低溫高濕環境模擬……………………………110
6.4.4低溫低濕環境模擬……………………………113
6.5加入隨機溫濕變化的舒適度模擬…………………116
6.5.1單一衝擊Case1………………………………………117
6.5.2單一衝擊Case2………………………………………120
6.5.3單一衝擊Case3………………………………………123
6.5.4連續衝擊……………………………………………126
6.6十二小時舒適度自動控制……………………………129
第 七 章 結論與未來研究方向………………………134
參考文獻…………………………………………………136
附錄………………………………………………………139

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