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論文中文名稱:建置手持式室內空氣污染自動掃帚系統暨預測模型 [以論文名稱查詢館藏系統]
論文英文名稱:The Developments of Indoor Handheld Air Pollution Automatic Broom System and Prediction Model [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:工程學院
系所名稱:環境規劃與管理研究所
畢業學年度:102
出版年度:103
中文姓名:陳政熙
英文姓名:Zheng-Xi Chen
研究生學號:101608017
學位類別:碩士
語文別:中文
口試日期:2014-07-09
論文頁數:143
指導教授中文名:曾昭衡
指導教授英文名:Chao-Heng Tseng
口試委員中文名:林文印;吳佩芝
中文關鍵詞:室內空氣品質掃帚系統污染地圖無線感測器系統預測模型生物氣膠
英文關鍵詞:Air QualityBroom SystemPollution MapWireless Sensor NetworkPrediction ModelBio-aerosol
論文中文摘要:本研究將固定式空氣品質無線監測系統佈建於實場,針對場所內室內空氣品質發生預警之區域,利用室內手持式空氣污染自動掃帚系統 (Air pollution auto-broom system, APABS) ,以手持式空氣品質感測器及平板電腦,於預警現場迅速蒐集大量各位置之空氣污染物濃度分佈資訊,建立室內空氣污染地圖並標訂污染嚴重之位置 (Hot spot) 。利用實場收集到的檢測數據及管理數據,進行複線性迴歸模式及非線性迴歸模式分析,發展室內生物氣膠濃度預測模型。以已建立之二氧化碳預測模型,應用至實場上並驗證其可行性。最後由一簡易之改善措施案例,驗證已建立之監測系統及預測模型之實用性。
研究結果顯示,繪製室內空氣污染地圖結果,濃度圖與指標圖皆可將預警場所的濃度範圍由深紅色 (污染嚴重) 至深藍色 (污染輕微) 之色澤呈現,添加等高線有助於判斷污染物濃度之分佈,管理者需以地圖標示深紅色區域作為改善之重點對象。生物氣膠濃度預測模型結果,以複線性迴歸模式優於非線性迴歸模式,在應用上可適用於單一獨棟建築物建立最佳之預測式,並只使用於相同環境條件下之建築物。以二氧化碳預測模型推估得室內外換氣量後驗證預測室內二氧化碳濃度之準確度,模型預測結果MAPE為15.5%及20.6%,整體預測結果為優良,顯示此模型應用上之可行性。最後本研究利用已建置之空氣品質無線監測系統以及預測模型,應用於一改善措施之案例,根據各項數據結果可於執行前預先看出改善效果,顯示監測系統及預測模型之實用性。
論文英文摘要:This study used fixed Air quality wireless monitoring system in indoor place. For the air quality was warning region. Use Indoor Air pollution auto-broom system (APABS) , the handheld air quality sensors and tablet PC, quickly gathered different locations of air pollutant concentration data in warning region. Build indoor air pollution map and set Hot spot. Use collected monitoring data and management data for multiple linear regression model and nonlinear regression model analyzing. Developing an indoor Bio-aerosol concentration prediction model. A build Carbon Dioxide concentration prediction model, used in a real region and verifying its feasibility. Finally, simple case of improvement measure examples, verify its feasibility of monitoring system and prediction model.

Result showed that the concentration map and indicator map of indoor air pollution map displaying concentration range from deep red (more pollution) to deep blue (less pollution) colors in the warning region. Add contour lines can help to determine distribution of pollution concentration. Managers needs as deep red region of map for the focus improvement. Bio-aerosol concentration prediction model result, multiple linear regression model were better than nonlinear regression model, the application is applicable to single buildings to build the best predict equation, and using in the same environmental condition of buildings. Verify the prediction accuracy of Carbon Dioxide concentration model, result showed MAPE was 15.5% and 20.6%, the overall result is fine, show feasibility of this model. Finally, this sturdy used air quality wireless monitoring system and prediction model in improvement measure examples, from the many data results can be seen the improve effect before running. Show the feasibility of monitoring system and prediction model.
論文目次:摘 要 i
ABSTRACT iii
誌謝 v
目錄 vi
表目錄 viii
圖目錄 x
第一章 緒論 1
1.1 研究緣起 1
1.2 研究目的 2
1.3 研究限制 3
1.4 研究流程 4
第二章 文獻回顧 5
2.1 室內空氣品質管制現況 5
2.1.1 我國室內空氣品質管理法 5
2.1.1.1 室內空氣品質標準值 6
2.1.1.2 巡查檢驗作業流程 7
2.1.1.3 定期檢測作業流程 12
2.1.1.4 自動監測設施佈建作業流程 15
2.1.1.5 監測設備查核校正程序 17
2.1.1.6 室內空氣品質維護管理計畫 19
2.1.2 各國室內空氣品質現況 21
2.2 室內空氣污染物 24
2.2.1室內空氣污染物濃度預測模型 33
2.3 無線感測器網路系統 35
2.3.1 無線傳輸技術 35
2.3.2 無線感測器系統應用於空氣品質監測 38
2.4 計算流體力學之應用 42
2.5 掃帚系統 44
第三章 研究方法 46
3.1 研究區域背景分析 46
3.2 建置空氣品質無線監測系統 49
3.2.1 智慧型感測器節點 50
3.2.2 無線模組處理單元 51
3.2.3 資料整合閘道器 52
3.2.4 二氧化碳感測模組 53
3.2.5 空氣品質無線監測系統硬體整合 55
3.2.6 WSN圖控介面 55
3.2.7 感測器校正及維護 56
3.2.8 空氣品質無線監測系統佈建 58
3.3 手持式空氣污染自動掃帚系統 59
3.3.1 系統組成單元 61
3.3.2 硬體管理單元 62
3.3.3 軟體操作單元 63
3.3.4 APABS操作流程 66
3.3.5 APABS與CFD之比較 71
3.3.6 室內空氣品質指標值計算 72
3.4 室內生物氣膠濃度預測模型 74
3.4.1 採樣位置及時間 74
3.4.2 檢測儀器 75
3.4.3 室內生物氣膠採樣程序 78
3.4.4 資料分析與推估模式 79
3.4.5 模式之驗證 82
3.5 二氧化碳預測模型驗證 83
3.6 改善措施案例 85
第四章 結果與討論 86
4.1 室內空氣污染地圖實場案例 86
4.1.1 轉運站實場案例結果 86
4.1.2 圖書館實場案例結果 90
4.1.3 小結 95
4.2 生物氣膠迴歸模式分析結果 97
4.2.1 細菌複線性迴歸模式分析結果 97
4.2.2 細菌非線性迴歸模式分析結果 99
4.2.3 真菌複線性迴歸模式分析結果 102
4.2.4 真菌非線性迴歸模式分析結果 104
4.2.5 小結 107
4.2.6 細菌/真菌之預測式驗證 108
4.3 二氧化碳預測模型驗證結果 109
4.4 改善措施案例結果 111
4.5 系統及模型之應用 114
4.5.1 掃帚系統與預測模型之結合應用 114
第五章 結論與建議 116
5.1 結論 116
5.2 建議 117
參考文獻 118
附錄A 空氣中細菌濃度檢測方法 125
附錄B 空氣中真菌濃度檢測方法 132
附錄C 室內空氣交換率計算方法 140
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