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

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題名:	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
作者:	詹子寬;Chan, Tzu-Kuan
貢獻者:	通訊工程學系在職專班
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;LED Dimming;Cloud service;IoT sensor;Plant lighting;Smart Farm;Precision Agriculture;Power distribution unit
日期:	2019-01-30
上傳時間:	2019-04-02 15:01:07 (UTC+8)
出版者:	國立中央大學
摘要:	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.
顯示於類別:	[通訊工程學系碩士在職專班 ] 博碩士論文

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