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DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 謝志誠(Jyh-Cherng Shieh) | |
dc.contributor.author | Tzu-Yun Lai | en |
dc.contributor.author | 賴子雲 | zh_TW |
dc.date.accessioned | 2021-06-08T04:58:56Z | - |
dc.date.copyright | 2010-08-20 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-19 | |
dc.identifier.citation | 行政院環境保護署。2010。預報作業。臺灣:行政院環境保護署。
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Available at: http://www.e2v.com/assets/media/files/sensors_datasheets/Metal_Oxide/mics-5521.pdf Accessed: 06/14/2010. U.K. : E2V. 2010c. MiCS–2710 datasheet. Available at: http://www.e2v.com/assets/media/files/sensors_datasheets/Metal_Oxide/mics-2710.pdf Accessed: 06/14/2010. USA: Texas Instruments. 2007a. CC2420 Datasheet. Available at: http://focus.ti.com/lit/ds/symlink/cc2420.pdf. Accessed: 10/09/2009. USA: Texas Instruments. 2007b. CC1000 Datasheet. Available at: http://focus.ti.com/lit/ds/symlink/cc1000.pdf. Accessed: 9/28/2009. USA: Texas Instruments. 2009. CC1021 Datasheet. Available at: http://focus.ti.com/lit/ds/symlink/cc1021.pdf. Accessed: 9/28/2009. USA: Crossbow. 2008a. Imote2 Datasheet. Available at: http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/Imote2_Datasheet.pdf. Accessed: 10/1/2009. USA: Crossbow. 2007. IRIS Datasheet. Available at: http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/IRIS_Datasheet.pdf. Accessed: 10/1/2009. 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Air quality monitoring with sensor map. 2008 In Proc. of the 2008 International Conference on Information Processing in Sensor Networks. pp. 529-530. Werner-Allen, G., J. Johnson, M. Ruiz, J. Lees, and M. Welsh. 2005. Monitoring volcanic eruptions with a wireless sensor network. In Proc. of the Second EuropeanWorkshop on Wireless Sensor Networks. pp. 108-120. Wood, A. D., J. A. Stankovic, G. Virone, L. Selavo, Z. He, Q. Cao, T. Doan, Y. Wu, L. Fang, and R. stoleru. 2008. Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Network. 22(4): 26-33. Wang, N., N. Zhang, and M. Wang. 2006. Wireless sensor in agriculture and food industry–recent development and future perspective. Computers and Electronic in Agriculture. 50(1): 1-14. Warrier, A., S. Park, J. Min, and I. Rhee. 2007. How much energy saving does topology control offer for wireless sensor network?–a practical study. Computer Communication. 30(14): 2867-2879. Zhou G., Z. Zhu, G. Chen, N. 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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23302 | - |
dc.description.abstract | 近年來,由於人口快速增加而且都市化的影響,造成人口分布集中在部分區
域,眾多的交通工具使用以及工業生產設備將直接影響到環境中空氣的品質。因此,空氣品質監測變得相當重要。現有的空氣品質預報模式均採用主觀模式以及統計迴歸模式居多;由於決定性空氣品質預測模式需要較多相關參數才可進行預測。本論文將提出一可自動資料收集之微型尺度之空氣品質監測系統,提供決定性空氣品質預測模式所需要之大量的微型尺度氣象資料以及空氣污染物資料。 此微型尺度之空氣品質監測系統以無線感測器網路為主,整合全球行動通訊系統以及網際網路技術,可有效即時獲取氣象資料以及空氣污染物資料。無線感測器網路具備了不需實體佈線、節點體積小、可彈性增加感測範圍以及佈建快速等優點。本監測系統由前端自動化監測系統以及後端資料庫平台兩大部分所組成。前端自動化監測系統由閘道器以及無線感測器節點所組成,透過閘道器對無線感測器節點進行控制以及資料收集等動作,並透過全球行動通訊系統將資料回傳至後端資料庫平台。後端資料庫平台由LabVIEW以及資料庫所組成,透過LabVIEW可即時的將資料儲存以及整合至資料庫;資料庫藉由網路透過監看網頁,提供使用者查詢歷史以及最新的資料概況。 本論文於臺北市羅斯福路及基隆路的圓環以及基隆路人行道兩側進行系統架設及監測。此地點污染物來源大多為汽機車,其排放的污染物以一氧化碳以及二氧化氮為主。因此本研究將針對此兩種污染物進行監測。為了驗證系統之可用性,本研究進行相關實驗,包括了感測器節點性能測試、空氣感測器可用性之評估以及系統實際回傳感測值展示。實驗結果顯示系統所感測的參數與空氣污染物濃度有著相對的關係,預期累積大量監測資料以及環境參數後可提供空氣預報相關專業人員進行更精準的預測。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2021-06-08T04:58:56Z (GMT). No. of bitstreams: 1 ntu-99-R97631040-1.pdf: 10631226 bytes, checksum: a45a68129f52b523e4d72f06bcbfba80 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 致謝..........................................................................................................................i
中文摘要……………………………………………………….............................ii 英文摘要………………………………………………………............................iii 目錄……………………………………..................................................................v 圖目錄…………………………………………………………............................xi 表目錄…………………………………………………………. .........................xii 第一章 前言………………………………………………..…. ..........................1 1.1 研究背景………………………………………………...........................1 1.2 研究動機及目的………………………………………................ ..........2 1.3 論文架構…………………………………………….................... ..........3 第二章 文獻探討……………………………………………. .................. .........5 2.1 空氣污染指標…………………………………………................. .........5 2.2 無線感測器網路系統架構……………………………................. .........7 2.3 無線感測器節點………………………………………................. .........9 2.4 無線感測器網路操作系統—TinyOS………………... ................ .......13 2.5 無線感測器網路拓樸種類……………………………................. .......15 2.5.1 鏈狀拓樸………………………………………........................15 2.5.2 叢集狀拓樸……………………………………................ .......17 2.5.3 樹狀拓樸………………………………………................ .......18 2.5.4 混合式拓樸……………………………………................... .......19 2.6 無線感測器路由演算法─依據應用狀況分類………. ................ .......20 2.6.1 集中式路由演算法……………………………................... .......20 2.6.2 分散式路由演算法……………………………................... .......22 2.7 空氣品質監測系統…………………………………….................. .......23 第三章 微型空氣品質監測系統開發………………..………. ........................25 3.1 微型空氣品質監測系統設計………...……………….......................25 3.2 無線感測器節點及氣體感測器裝置電路設計……... .........................26 3.2.1 無線感測器節點……………………………….. ......... ......... ....26 3.2.2 氣體感測器……………………………………. ........................28 3.2.2.1 一氧化碳氣體感測器(MiCS−5521)…. ............. ...........30 3.2.2.2 二氧化氮氣體感測器(MiCS−2710)….. ........... ............32 3.2.3 氣體感測器驅動電路…………………………............. .............34 3.3 針對鏈狀網路設計之路由協定架構……………............. ...........……38 3.3.1 感測點動作流程……………………………............. ...........…..38 3.3.1.1 網路佈建……………………………............. ...........…39 3.3.1.2 資料收集……………………………............. ..........….40 3.3.1.3 節點重置及睡眠............. ............. ............. ..............….42 3.3.2 非感測點動作流程……………………………............. .............44 3.4 PC閘道器……………………………………………... ............. ..........45 3.4.1 GSM模組……………………………………….. ........................47 3.4.2 氣象模組……………………………………….. ............. ..........48 3.4.3 閘道器動作流程………………………………. ........... .............50 3.5 後端平台-LabVIEW…………………………………............. ...........53 3.5.1 LabVIEW平台之GSM模組程式………………. ............. ..........55 3.6 後端平台-MySQL資料庫…………………………......................….58 第四章 實驗結果……………………………………………... ............. ..........62 4.1 Octopus II通訊距離測試…………………………….. ............. ...........62 4.2 Octopus II多跳路由性能測試實驗…………………... ............. ..........64 4.3 Octopus II佈建場地節點佈放測試實驗……………............. ............. 66 4.4 氣體感測器預熱時間測試…………………………............................70 4.5 氣體感測器-實際佈建場地汙染物濃度變化測試…. ............. ..........71 4.6 氣體感測器-汽油車排放汙染物濃度變化測試…... ............. ............72 4.7 氣體感測器-柴油車排放汙染物濃度變化測試…... ............. ............74 4.8 微型空氣品質監測系統資料呈現…………………............. ..............75 第五章 結論與未來方向…………………………………............. ...........…...79 參考文獻………………………………………………………. ............. ............80 | |
dc.language.iso | zh-TW | |
dc.title | 無線感測器網路應用於微型尺度之空氣品質監測系統開發 | zh_TW |
dc.title | The Development of a Micro–Scale Air Quality Monitoring System Based on WSNs | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 江昭皚(Joe-Air Jiang) | |
dc.contributor.oralexamcommittee | 王永鐘(Yung-Chung Wang),曾傳蘆(Chwan-Lu Tseng) | |
dc.subject.keyword | 空氣污染,無線感測器網路,決定性空氣品質預測模式, | zh_TW |
dc.subject.keyword | air pollution,wireless sensor network,deterministic air quality prediction model, | en |
dc.relation.page | 85 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2010-08-19 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
顯示於系所單位: | 生物機電工程學系 |
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