在全球追求淨零碳排的趨勢中，隨著人口結構的變化，導致高齡化和勞動力短缺等議題日益嚴重。透過擴增實境/虛擬實境(Augmented Reality /Virtual Reality)可以提供使用者有效的解決方案，使螢幕中呈現機台生產資訊與電力碳排監控資訊，藉由虛實整合，企業能更直觀地了解和管理電力碳排放情形，從而推動淨零減碳的議題。
本研究透過自動化數據串接小五軸機台，並結合電力感應器技術即時回傳製造過程中設備的加工資訊於統整系統，這些數據被運用於電力碳足跡的蒐集、計算和管理，最後呈現於AR/VR中，讓操作者更好地理解電力碳排放的來源和分佈情形。
此外，應用AR/VR頭戴式設備呈現當前機台執行程序相關資訊，可以減少由於介面型號和更新不一致所產生出的問題，協助改善原始人機介面所遇到之限制和設計缺陷，為操作者提供對機台運行情況的實時理解和掌握，不僅提升了操作的效率和準確性，還有助於實現系統同時遠端監控多台設備的智慧生產資訊與碳排放，通過這些技術，企業能更有效地管理其生產流程和對環境影響，邁向更加智慧和可持續的未來。

Amid the global trend of pursuing net-zero carbon emissions and the increasingly severe issues of population structure changes, aging, and labor shortages, Augmented Reality (AR) and Virtual Reality (VR) technologies can offer effective solutions to users. These technologies enable the display of machine production information and carbon emission monitoring data on screens, allowing enterprises to understand and manage carbon emissions more intuitively through virtual-real integration, thereby promoting the agenda of net-zero carbon reduction.
This study connects small five-axis machines through automated data linking and combines power sensor technology to instantly return all equipment processing information during the manufacturing process to an integrated system, which is then displayed in AR/VR. These data are used for the collection, calculation, and management of carbon footprints, allowing operators to better understand the sources and distribution of carbon emissions. Remote visualization helps enterprises implement measures to reduce carbon footprints.
Furthermore, the application of AR/VR head-mounted devices to present current machine execution program-related information can reduce issues caused by inconsistencies in interface models and updates. This helps to improve the limitations and design flaws encountered in the original human-machine interface, providing operators with real-time understanding and control of machine operation conditions. This not only enhances operational efficiency and accuracy but also facilitates the simultaneous remote monitoring of various smart production information and carbon emissions across multiple machines. Through these technologies, enterprises can more effectively manage their production processes and environmental impacts, moving towards a smarter and more sustainable future.

摘要..........i
ABSTRACT..........ii
誌謝..........iv
目錄..........v
表目錄..........vii
圖目錄..........viii
第 一 章 緒論..........1
1.1 研究背景..........1
1.2 研究動機..........2
1.3 研究目的..........3
1.4 研究流程..........3
第 二 章 文獻探討..........5
2.1 元宇宙..........5
2.2 虛擬實境(VR)、擴增實境(AR)、混合實境(MR)..........6
2.2.1 虛擬實境(Virtual Reality,VR)..........6
2.2.2 擴增實境(Augmented Reality,AR)..........7
2.2.3 混和實境(Mixed Reality,MR)..........8
2.2.4 差異比較..........8
2.3 碳足跡..........10
2.3.1 溫室氣體..........10
2.3.2 電力碳足跡計算方法..........13
2.4 文獻總結..........14
第 三 章 研究方法..........15
3.1 使用設備與技術..........15
3.1.1 精密型五軸加工機..........16
3.1.2 加工方式..........19
3.1.3 頭戴式設備..........20
3.2 個案系統開發..........22
3.2.1 MQTT（Message Queuing Telemetry Transport）..........22
3.2.2 運用Unity設計人機介面..........23
第 四 章 實作範例..........27
第 五 章 結論與未來研究..........31
5.1 結論..........31
5.2 未來研究方向..........31
參考文獻..........32
Extended Abstract..........35

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