博碩士論文 105553015 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:15 、訪客IP:54.161.100.24
姓名 詹子寬(Tzu-Kuan Chan)  查詢紙本館藏   畢業系所 通訊工程學系在職專班
論文名稱 基於物聯網技術之LED照明控制及節能方法:以小型智慧農場為實施例
(An IoT-Based LED Lighting Control and Energy Saving Approach in Small and Smart Farms)
相關論文
★ 非結構同儕網路上以特徵相似度為基準之搜尋方法★ 以階層式叢集聲譽為基礎之行動同儕網路拓撲架構
★ 線上RSS新聞資料流中主題性事件監測機制之設計與實作★ 耐延遲網路下具密度感知的路由方法
★ 整合P2P與UPnP內容分享服務之家用多媒體閘道器:設計與實作★ 家庭網路下簡易無縫式串流影音播放服務之設計與實作
★ 耐延遲網路下訊息傳遞時間分析與高效能路由演算法設計★ BitTorrent P2P 檔案系統下載端網路資源之可調式配置方法與效能實測
★ 耐延遲網路中利用訊息編碼重組條件之資料傳播機制★ 耐延遲網路中基於人類移動模式之路由機制
★ 車載網路中以資料匯集技術改善傳輸效能之封包傳送機制★ 適用於交叉路口環境之車輛叢集方法
★ 車載網路下結合路側單元輔助之訊息廣播機制★ 耐延遲網路下以靜態中繼節點(暫存盒)最佳化訊息傳遞效能之研究
★ 耐延遲網路下以動態叢集感知建構之訊息傳遞機制★ 跨裝置影音匯流平台之設計與實作
檔案 [Endnote RIS 格式]    [Bibtex 格式]    至系統瀏覽論文 (2020-8-1以後開放)
摘要(中) 在能源不足問題日趨嚴重之下,同時伴隨著能源成本也不斷升高。相較以往不斷開發新能源外,以施行能源調節管理使其降低耗能方面更趨重要,其中室內照明對於全球總能耗的影響甚鉅。本研究主要架構是以物聯網技術為基礎來整合環境感測裝置及無線網路雲端控制進行照明燈具電力調節。目的為直接減低使用耗能進而反映到能源成本,可應用於家用能源管理系統(Home Energy Management System, HEMS)實現智慧家園的基礎概念。

本論文提出一套「雲端LED照明電力調節系統」之設計,並分為環境監測端、電力分配端、雲整合端三個子系統架構來做說明,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。

此系統運用Node-RED開發平台來串接各子系統,以MQTT傳輸協定來對應即時且低頻寬的傳輸需求。可將物聯裝置所收集的資料上傳雲端,經雲端整合相關服務後,再下達給電力分配單元(Power Distribution Unit ,PDU)進行電力控制,實現物聯網雙向傳輸架構。在照明光源省能方面採用白光發光二極體(White LED),節電性方面選用具功率因數校正(Power Factor Correction,PFC)之LED恆流驅動器,並以波寬調制(Pulse Width Modulation,PWM)為數位調光方案,如此達到調節電力省能目的。

本論文以植物農場為情境進行「雲端植物照明設備電力調節系統」雛形設計及開發,提出一個雲端運算的演算法,能夠整合環境光與植物生長時程,自動調節植物燈的光照強度與光合作用時所需的光波長;其裝置包含色彩傳感器(color sensor) 、功率電表(Power Meter)及LED植物燈等,其電力調節減能效果顯著,對於綠色智慧農場推廣大有幫助。

因此,結合物聯網技術之雲端照明電力調節方法,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家庭能源管理系統(HEMS)的照明基礎系統,不但減少照明設備對能源的依賴,更能直接降低家庭電力費用。
摘要(英) Rising energy shortage, increasing energy cost, reducing CO2 volume, green power production are all accompanied issues addressed by the global society. In addition to continuous development of new energy sources, it is most important to design, develop and deploy energy management and control techniques to reduce energy consumption in our living environments. Among others, indoor lighting has one of the greatest impacts on the energy consumption. The main theme of this study is to integrate the lighting control system with environmental sensing devices based on the Internet of Things, wireless network and cloud control services to directly reduce the energy consumption of the lighting, as well as reflectively save the energy cost.

This paper proposes a set of “Cloud LED lighting power conditioning system” design, and is divided into three subsystems, including environmental monitoring, power distribution, and cloud integration subsystems. Technical aspects include IoT device sensing, power distribution, cloud-based human-machine interface compilation, ambient light complementary, digital dimming, etc. Technically, this system uses the Node-RED development platform to connect various subsystems. Also, this system uses the MQTT transmission protocol as an instant and low-bandwidth transmission way. All data collected by the IoT device can be sent to cloud services on the Internet. After combing cloud-related data processing and analyzing services, the system can instruct the PDU to control energy usage of devices for power control. Thus, the system can support a bi-directional service architecture based on the Internet of Things and cloud services. On the other hand, energy saving in this study uses white light emitting diodes as the light source. Power-saving properties are selected on LED constant current drivers that are capable of power factor correction, and the wave width modulation is used as a digital dimming scheme, so that the system can achieve power saving with such kinds of hardware and software equipment.

This study further considers the application scenario and usage in the context of smart planting farms. According to the above system architecture, this study implements a prototype design of the “Cloud plant lighting power and conditioning system.” The integration of ambient light and plant growth schedules is used to adjust the brightness of the plant lamps and the wavelength of light required for photosynthesis. Its devices include color sensors, power meters and LED plant lights. As a result of practical experiments, this study presents a significant effect on energy reduction, which is helpful for the promotion of green smart farms.

Therefore, the IoT-based cloud lighting power management and control system can be beneficial to traditional human resource saving and management. Finally, this system can support novel services through the cloud-integrated interface to monitor the power information and control the lighting. In addition, this system can adjust the power consumption of lighting equipment according to ambient light sources to reduce the power waste automatically. Therefore, we believe that the research contribution of this thesis can be a reference to basic lighting services for home energy management systems (HEMS). As demonstrated, the prototypical system can not only reduce the dependence of lighting equipment and energy supply, but also directly reduce household electricity cost.
關鍵字(中) ★ LED調光
★ 雲端服務
★ IoT感測裝置
★ 植物照明
★ 智慧農場
★ 電源分配器
關鍵字(英) ★ LED Dimming
★ Cloud service
★ IoT sensor
★ Plant lighting
★ Smart Farm
★ Power Distribution Unit
論文目次 中文摘要 I
英文摘要 II
誌謝 IV
目錄 V
圖目錄 VII
表目錄 VIII
符號說明 VIII
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) 4
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
第三章 系統架構設計 12
3-1 主系統架構介紹 12
3-2 即時傳輸通訊標準 12
3-3 雲端調光子系統架構 14
3-3-1 環境監控設備端 14
3-3-2 電力分配端 15
3-3-3 雲端整合介面端 17
3-4 環境光動態補償調整控制器 21
第四章 雲端調光系統控制演算法 22
4-1 演算法系統流程 23
4-2 雲端調光系統控制演算法 24
4-2-1 演算法模型參數設計 24
4-2-2 演算法設計 26
4-2-3 演算法執行實例 27
第五章 設計與實現 29
5-1 示例場景 29
5-2 實驗架設 32
5-3 實驗結果與分析 33
5-3-1 能源調節性分析 33
5-3-2 環境光互補性分析 35
5-3-3 調光節能性分析 38
5-3-4 演算法運行成本 39
5-3-5 量化多區調光分析 42
5-4 實驗結果總結 44
第六章 結論與未來工作 45
參考文獻 46
參考文獻 參考文獻

[1] Ray-Lee Lin,Jhong-Yan Tsai and Jose Marcos Alonso,”Four-Parameter Taylor Series-Based Light-Emitting-Diode Model”, in IEEE Journal of Emerging and Selected Topics in Power Electronics ( Volume: 3, Issue: 3, Sept. 2015 ) , pp. 581-588.
[2] Wu Chen; Xu Zhu; Guangjiang Wang; GangyaoWang”A New Double Frequency Dimmer for Lighting Device” , in 2013 IEEE Energy Conversion Congress and Exposition pp. 4655 – 4658.
[3] Guan-ChyunHsieh,Wei-Hsiang Liu,Chang-Hua Lin and Hung-I Hsieh,“Asymmetrical group-pulse-width-modulated technique for eliminating striation in the dimmable fluorescent lamps.” , in Industrial Electronics Society, 2001. IECON ′01. The 27th Annual Conference of the IEEE,pp. 1090 - 1095 vol.2.

[4] OluwaseyiAkinyeleOgungbenro and Michael C. Ndinechi, “Design, construction and testing of multipurpose energy saving LEDs and its implications on energy crisis in Nigeria.”, in 3rd IEEE International Conference on Adaptive Science and Technology (ICAST 2011),pp.226-230.
[5] Philips Hue web site, http://www2.meethue.com/zh-tw/.
[6] Lifx Color-1000 web site, https://www.lifx.com/products/color-1000.
[7] Hidemitsu Sugiyama; Shinichiro Haruyama; Masao Nakagawa” Brightness Control Methods for Illumination and Visible-Light Communication Systems”, in 2007. ICWMC ′07. Third International Conference on, pp. 78 – 78.
[8] ZhihuaSu,”Design of White Light LED Lighting Control System”, in 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), pp.561-563.
[9] Sagar A. Mahajan; S. D. Markande,“Design of Intelligent System for Indoor Lighting”,in 2016 International Conference on Computing Communication Control and automation (ICCUBEA), pp. 1 – 4.
[10] Xudong Liu and Wei Wang, “Indoor Intelligent Lighting Control System Based on Power Line Carrier Design”, in 2010 Second WRI Global Congress on Intelligent Systems, pp. 408-411.
[11] Du Jianjun,LiuShuping,LiuWeihong,Chen Tao and Song Changbin,“The application of photoperiodic control of the plant flowering”,in 2016 13th China International Forum on Solid State Lighting (SSLChina), pp. 101-103.
[12] T. Okame,K. Murakami,N. Saito,S. Kosaka and H. Murase,” Plant growth control by regulated lighting conditions”, Proceedings of the 41st SICE Annual Conference. SICE 2002., pp. 1352-1354 vol.2
[13] D. Combes and Abraham J. Escobar-Gutierrez,” Morphogenetically Active Radiation within Tree Canopies: Estimations from PAR and Solar Broadband Irradiance Measurements”, in 2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, pp. 72-78.
[14] BH1745NUC,”http://www.rohm.com.tw/web/taiwan/search/parametric/-/search/Color%20Sensor%20ICs.”
[15] Christian Branas, Francisco J. Azcondo,RosarioCasanueva and Francisco J. Diaz “Optimal PWM Implementation for Dimming Control of LED lamps”,in PCIM Europe 2014; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, pp.1-8.
[16] Yuan Yang; Zhenghua Song; Yong Gao, “Design of High-Power White LED Drive Chip with Fully Integrated PWM Dimming Function”,in 2010 Symposium on Photonics and Optoelectronics, pp.1-4.
[17] Kyumin Cho, Wonseok Oh, Yongseung Oh and ChigakIn,“A new high resolution PWM dimming strategy for LED lightings”, 2018 IEEE International Conference on Industrial Technology (ICIT), pp. 581-584.
[18] Rionel Belen Caldo,Joseph T. Seranilla,Derrick J. Castillo,Kevin S. Diocales,Winreal D. Gulle; Briandale L. Nu?ez and Calvin T. Parre?o, “Design and development of fuzzy logic controlled dimming lighting system using Arduino microcontroller”,in 2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), pp. 1-6.
[19] Pei-Ru Wu,Che-Min Kung,Tse-Hsu Wu and Jung-Min Hwang, “Universal wireless controller for PWM, Analog and TRIAC dimming”,in 2015 IEEE International Conference on Consumer Electronics – Taiwan, pp. 84-85.
[20] Central Weather Bureau,CWB,”https://e-service.cwb.gov.tw/HistoryDataQuery/DayDataController.do?command=viewMain&station=467050&stname=%25E6%2596%25B0%25E5%25B1%258B&datepicker=2018-05-06#”.
指導教授 胡誌麟(Chih-Lin Hu) 審核日期 2018-8-24
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明