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研究生: 詹子寬
Tzu-Kuan Chan
論文名稱: 精準農業應用之智慧農場LED照明調控方法
LED Lighting Control for Smart Farms : A Simple Application of Precision Agriculture
指導教授: 胡誌麟
Chih-Lin Hu
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 通訊工程學系在職專班
Executive Master of Communication Engineering
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 70
中文關鍵詞: LED調光雲端服務IoT感測裝置植物照明智慧農場精準農業電源分配器
外文關鍵詞: LED Dimming, Cloud service, IoT sensor, Plant lighting, Smart Farm, Precision Agriculture, Power distribution unit
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  • 隨著網路設備普及,利用物聯網(IoT)來連接各裝置進行資料收集,其範圍包含光、水、土壤、氣候等,經雲端整合分析後可進行更高效率、品質提升及降低成本的精準農業(Precision agriculture)活動,而光照是植物生長的重要因素,因為它是植物行光合作用過程所必需的。
    本論文以植物農場為情境進行「雲端LED植物照明調控方法」設計及開發,並提出一個雲端運算的演算法。可根據植物生長時程獨立選擇進行光合作用時所需的光波長並自動調節亮度,而雲端也能整合環境日光並與之互補,來降低照明設備電力消耗。
    本研究之「雲端LED照明電力調節系統」之設計,可分為環境監測端、電力分配端、雲整合端三個子系統架構,其技術包括物聯裝置感測檢出技術,電源分配器(Power Distribution Unit,PDU)控制技術、雲端人機圖示化操作介面編譯、環境光互補技術、數位調光技術等。
    因此,結合物聯網技術之智慧農場雲端LED照明調控方法,不但能夠取代傳統人力管理,也能經雲端整合介面監看電力資訊及操控照明,更能依周圍環境光源的條件進行即時性調光及調節耗能,除了可以持續植物生長的環境之外,也能同時減少電力浪費。最後,我們相信利用本論文研究之成果將可做為發展精準農業的照明基礎系統,不但減少照明設備對能源的依賴,更能直接降低農民用電費用成本。


    With the popularity of network equipment, making good use of the Internet of Things (IoT) to connect all devices and data collection on Precision agriculture could be more efficiency, quality improvement and cost reduction. Light is an important factor in plant growth because it is necessary for photosynthesis

    This thesis designed and developed the "Cloud LED Plant Lighting Control Method" through plant farms scenario, and proposed a cloud computing algorithm.
    According to the plant growth time course, the required wavelength for photosynthesis was independently selected, brightness was automatically adjusted and the cloud could also integrate and complement the ambient light to reduce the power consumption of the lighting equipment.

    The design of "Cloud LED Lighting Power Conditioning System" in this study could be divided into three subsystem architectures: environmental monitoring terminal, power distribution terminal and cloud integration terminal. The technology includes the sensing device detection technology and the power distribution unit (PDU) control technology, cloud man-machine graphical operation interface compilation, ambient light complementary technology, digital dimming technology, etc.

    Therefore, combining with the Internet of Things technology for the intelligent farm cloud LED lighting control method could not only replace the traditional manpower management, but also monitor the power information and control the lighting through the cloud integration interface, and could perform the instant dimming according to the conditions of the ambient light source. In addition to the environment of sustained plant growth, it could reduce power waste as well. By the research results of this thesis, it was used as a lighting infrastructure system for the development of precision agriculture, which not only reduced the dependence of lighting equipment on energy, but also directly reduced the cost of electricity for farmers.

    中文摘要 I 英文摘要 II 誌謝 III 目錄 IV 圖目錄 VI 表目錄 VII 符號說明 VII 第一章 緒論 1 第二章 相關文獻技術探討 3 2-1 室內照明設備光源類型 3 2-1-1 白熾燈泡(Incandescent Bulb) 3 2-1-2 鹵素燈(Halogen Lamp) 3 2-1-3 熒光燈管(Fluorescent Tube) 4 2-1-4 省電燈泡(CFL) 4 2-1-5 白光發光二極體(White_LED) 5 2-1-6 室內照明光源比較表 6 2-2 照明設備電力調節控制方式 7 2-2-1 相位角類比調光( TRIAC Dimmer) 7 2-2-2 電壓位準調光(0~10V Dimmer) 8 2-2-3 波寬調制數位調光(PWM Dimmer) 9 2-2-4 電力調節控制方式比較表 10 2-3 遠端調光系統介紹 11 2-4 植物燈照明現況 11 2-5 應用於精準農業的智慧農場相關研究12 第三章 系統架構設計 14 3-1 主系統架構介紹 14 3-2 即時傳輸通訊標準 14 3-3 雲端調光子系統架構 16 3-3-1 環境監控設備端 16 3-3-2 電力分配端 18 3-3-3 雲端整合介面端 20 3-4 環境光動態補償調整控制器 28 第四章 雲端調光系統控制演算法 29 4-1 演算法系統流程 30 4-2 雲端調光系統控制演算法 31 4-2-1 演算法模型參數設計 31 4-2-2 演算法設計 33 4-2-3 演算法執行實例 34 第五章 設計與實現 36 5-1 示例場景 36 5-2 實驗架設 39 5-3 實驗結果與分析 40 5-3-1 能源調節性分析 40 5-3-2 環境光互補性分析 42 5-3-3 調光節能性分析 45 5-3-4 演算法運行成本 46 5-3-5 量化多區調光分析 49 5-4 整合應用:耕殖共生生態系統Aquaponics 51 5-5 實驗結果總結 53 第六章 結論與未來工作 54 參考文獻 55

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