基於公有雲與無伺服器運算之智慧灌溉雲端系統之研究

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姓名

黃竣賢(Jyun-Sian Huang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

基於公有雲與無伺服器運算之智慧灌溉雲端系統之研究
(The Research on Smart Irrigation Cloud System based on Public Cloud and Serverless Computing)

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至系統瀏覽論文 (2026-7-21以後開放)

摘要(中)

隨著物聯網技術的興起，智慧農業已成為當前重要的農業發
展技術。從感測數據的分析，無線網路的資料傳輸，結合雲端服
務的幫助，打造一套完整的智慧農業自動化灌溉系統，讓使用者
可以隨時掌握環境狀況，並減少人力及相關的成本。
本論文提出了自動化灌溉系統，結合了以無伺服器運算(AWS
Lambda)及 AWS IoT Core 為開發核心的雲架構，利用 MQTT 通訊
協定方式傳輸感測到的環境資料，同時將資料傳輸到雲端系統，
並連接外部的微服務，當雲計算完畢後，將結果傳送給其他微服
務，如:Line、Gmail、MongoDB 等等，讓使用者可以即時掌握環
境狀況，並在系統中導入了模糊理論(Fuzzy Logic)，讓系統可以根
據環境狀況自動調整灌溉時間。此外，使用者可以透過 Line 應用
程式發佈命令，訊息傳送到雲端平台計算完畢後，同樣藉由
MQTT 的方式發送消息到設定好的主題並進行灌溉，使用者可以
從 Line、Gmail 等應用程式得知系統目前是否正在執行灌溉。

摘要(英)

With the rise of the Internet of Things technology, smart agriculture
has become an important agricultural development technology. From the
analysis of sensor data, wireless network data transmission, combined with
the help of cloud services, we create a complete intelligent agricultural
automatic irrigation system, allowing users to keep track of environmental
conditions, and reduce manpower and related costs.
This thesis proposed an automated irrigation system, which combines
a cloud architecture with serverless computing (AWS Lambda) and AWS
IoT Core as the development core, and uses the MQTT communication
protocol to transmit the sensed environmental data and at the same time
transmit the data to the cloud system, which connects to external
microservices. After the cloud computing is completed, the results will be
sent to other microservices, such as: Line, Gmail, MongoDB, etc., so that
users can instantly grasp the environmental conditions, we also introduce
fuzzy theory into the system (Fuzzy Logic), so that the system can
automatically adjust the irrigation time according to environmental
conditions. In addition, users can issue commands through the Line
application. After the message is sent to the cloud platform for calculation,
the message is also sent to the set theme and irrigated by MQTT. The user
can learn from the Line, Gmail and other applications where the system is
currently performing irrigation.

關鍵字(中)

★ 智慧農業
★ 模糊理論
★ 自動灌溉
★ 無伺服器運算

關鍵字(英)

★ AWS IoT Core
★ MQTT

論文目次

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
圖目錄 vii
表目錄 x
第一章序論 1
1-1 前言 1
1-2 研究動機 2
1-3 論文架構 3
第二章相關研究背景 4
2-1 感測器與終端裝置 4
2-1-1 環境感測器[5][6] 4
2-1-2 嵌入式裝置—樹莓派[7][8] 7
2-1-3 繼電器(Relay) 9
2-2 AWS 雲服務簡介與無伺服器計算 10
2-2-1 AWS API Gateway[11] 12
2-2-2 AWS Lambda[12][13][14] 13
2-2-3 AWS IoT Core[15][16][17] 14
2-2-4 AWS IAM[18] 15
2-2-5 Amazon SNS[19] 16
2-3 模糊理論(Fuzzy Logic)[20] 17
2-3-1 模糊控制邏輯(Fuzzy Control Logic) 19
2-3-2 隸屬函數(Membership Function) 21
2-4 Matlab 簡介[23] 24
2-5 Line 簡介 25
2-5-1 Line_Bot 聊天機器人 25
2-6 MongoDB 資料庫簡介[24] 27
2-7 MQTT 通訊協定 28
2-8 LoRa 無線傳輸技術 30
第三章系統情境與架構設計 32
3-1 系統架構與設計 33
3-1-1 智慧灌溉系統—感測裝置與執行端 35
3-1-2 智慧灌溉系統—雲服務端 37
3-1-3 智慧灌溉系統—使用者端 40
3-2 模糊控制邏輯使用 41
第四章模擬與分析 45
4-1 模擬環境與硬體設備架構 45
4-2 模擬結果與分析 47
4-2-1 感測裝置端資料傳輸 47
4-2-2 無伺服器架構部署和運算 49
4-2-3 模糊控制邏輯使用結果 51
4-2-4 作物生長結果與成本評估 53
第五章結論與未來研究方向 61
參考文獻 63

參考文獻

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指導教授

吳中實

審核日期

2021-7-22

推文