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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59188
標題: | 物聯網技術於智慧領域之應用 – 以農業與廣域電網為例 Internet of Things Applications for Smart Areas: Case Studies in Agriculture and Wide-area Power Grids |
作者: | Chien-Hao Wang 王健豪 |
指導教授: | 江昭皚 |
關鍵字: | 物聯網,無線感測器網路,智慧農業,智慧電網,超高電壓,安全性監測系統, Internet of thing,wireless sensor network,smart agriculture,smart grids,extra-high voltage,safety monitoring system, |
出版年 : | 2017 |
學位: | 博士 |
摘要: | 物聯網是由感測、網路和應用層等關鍵要素組成的網絡架構。讓裝置進行的感測、控制等行為,並透過網路與閘道器或其他裝置進行資料傳遞,藉以直接或間接創造價值。網路層則是主要實現資訊的傳遞、路由和控制。應用層為物聯網應用提供資訊處理、計算等基礎服務,以此實現物聯網在眾多領域的各種應用。現階段的應用主要以家用之智慧家庭、工業的智慧製造與公共建設的智慧城市,為研究人員與廠商投入開發的領域。然而,物聯網之應用應不該只侷限於此幾個大領域中。有鑑於此,透過前瞻物聯網技術應用於不同領域之研究,並研擬出一套完整的解決方案,有其必要性。為滿足上述需求,本研究於第三章提出一套無線感測器網路為基礎之蘭園監控系統,透過所設計的動態路由演算法,藉以提高整體網路的回傳率,且自動監測蘭花溫室的環境參數,並透過所得到之資料進行蘭花溫室之環境場重建,藉以找出蘭花溫室的環境熱點分布區,並建議業者可以進行改善,透過此研究證實物聯網應用於智慧農業之可行性。第四章則利用物聯網技術於超高壓輸電線路安全性監測系統,以建構一智慧電網之應用。在這項研究中,提出了一種基於物聯網的超高壓電網安全監測系統,此監測系統包含三個主要部分,由超高壓輸電線監測模組所組成的前端無線感測器網路、由閘道器組成的骨幹通信網絡,以及超高壓輸電網之智能管理雲端服務。為了驗證所提出的超高壓輸電線安全性監測系統的功能,本研究亦於實際的超高壓環境中進行了許多實驗。上述之智慧農業與智慧電網案例皆透過完整的電腦模擬與實際測試來進行效能評估,實驗結果顯示本文所提之兩個案例皆能夠提供一完整方案,且具有實際應用之價值。 Internet of Things (IoTs) is network architecture consisting of a number of key elements such as sensing, network and application layers. Devices can perform sensing, control and other activities, and can communicate with a gateway or other devices for data transmission through the internet. The main mission of the network layer is information transmission, routing and control. Application layer provides information processing, computing and other basic services to achieve the goal of the Internet of things with a variety of applications. Recently, the applications of IoTs mainly focus on smart home, smart industrial manufacturing and public construction of the smart city, and researchers and manufacturers have pay attention to the development of the applications. The application of the IoTs, however, should not be confined to these areas. In view of this, it is necessary to develop a total solution for different areas of research with the IoTs technology. In order to meet the requirements described above, in Chapter III, a wireless sensor network-based monitoring system with a dynamic convergecast tree algorithm for precision cultivation management in orchid greenhouses is present. The data delivery rate could be improved by using the proposed algorithm and the system could automatically monitor the environmental parameters of an orchid greenhouse. Moreover, the distributions of the environmental parameters could be reconstructed with the sensor data to find the hotspot in the greenhouse, and provide important monitoring information to the industry to improve greenhouse practices. Internet of things-based applications designed for smart grids are discussed in Chapter IV. In this chapter, an Internet of things-based grid-wide safety monitoring (SM) system for extra-high voltage (EHV) power grids is proposed. The proposed SM system includes three major parts: a front-end wireless sensor network consisting of EHV sensor modules, a backbone communication network comprising gateways, and a smart management service cloud for EHV power grids. To verify the functionalities of the proposed SM system, a number of experiments were conducted in an actual EHV environment. Both the presented cases of smart agriculture and smart grid are evaluated via computer simulation and real world tests. The experimental results show that the two proposed cases can provide a total solution in that area. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59188 |
DOI: | 10.6342/NTU201601028 |
全文授權: | 有償授權 |
顯示於系所單位: | 生物機電工程學系 |
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