| 研究生: |
葉佳心 Yeh, Chia-Shin |
|---|---|
| 論文名稱: |
基於MQTT智慧廠區聯網架構實現 Implementation of MQTT Protocol Based Network Architecture for Smart Factory |
| 指導教授: |
陳響亮
Chen, Shang-Liang, |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 製造資訊與系統研究所 Institute of Manufacturing Information and Systems |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 55 |
| 中文關鍵詞: | 工業物聯網 、MQTT 、邊緣運算 、智慧工廠 |
| 外文關鍵詞: | Industrial Internet of Things (IIoT), MQTT, Edge Computing, Smart Factory |
| 相關次數: | 點閱:160 下載:1 |
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智慧製造的核心概念,即是利用物聯網技術,收集並分析製造過程的各式數據,進而協助提高生產製造的效能。但建置工業物聯網環境最為重要的問題之一,為工廠不同設備使用不同的工業網路協定,以至於生產製造過程的訊息不容易交換與取得。
本研究提出一基於物聯網通訊協定MQTT之智慧廠區聯網架構,於工具機台、嵌入式裝置樹莓派、網頁三者之間,建構異質介面的通訊橋樑。最終將系統架構實現及導入廠區中,建置一智慧製造資訊管理系統。於三軸工具機台上架設邊緣運算模組,並於該系統之人機介面進行運動控制及感測資訊顯示。另於該系統之動態更新網頁,顯示即時機台與感測資訊,提供使用者隨時隨地監看廠區情形。開發以影像技術即時辨識手勢種類的功能,並佈建於邊緣運算模組上。手勢辨識結果可透過MQTT傳輸至機台,機台將會依不同手勢進行相對應之運動,達成人機協作之模式。本研究於廠區建置工業物聯網環境基底,可協助工廠轉型與發展智慧化應用。
The core concept of smart manufacturing is using IoT technology to collect and analyze all kinds of data in the manufacturing process to help to improve the efficiency of manufacturing. However, one of the most important problems in building the industrial IoT environment is that different industrial network protocols are used for different equipment in factories, so that information in the manufacturing process is not easily exchanged and obtained.
In this study, a smart factory network architecture based on MQTT (IoT communication protocol) is proposed to construct a heterogeneous interface communication bridge between the machine tool, embedded device Raspberry Pi, and website. Finally, the system architecture is implemented and imported into the factory, and a smart manufacturing information management system is built.
The edge computing module is set up beside a three-axis machine tool, and a human-machine interface is built for the user controlling and monitoring. Users can also monitor the system through the dynamically update the website at any time and any place. The function of real-time gesture recognition based on image technology is developed and built on the edge computing module. The gesture recognition result can be transmitted to the machine through MQTT, and the machine will do the corresponding action according to different gestures to achieve human-robot collaboration mode.
This system can be applied to build the IIoT environment base, which can assist the factory transformation and development of intelligent applications.
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