本研究針對現有儀表板系統在人機協作應用中的技術限制，提出一套基於數位孿生技術的高度整合、智能化、靈活且具互動性的儀表板系統。該系統以彈性GPU卡組裝線為例，整合多個數位孿生模組，如操作員、螺絲機、機械手臂和自動光學檢測機，實現生產設備和環境的即時監控、參數調整與優化。本研究通過設計一套通訊協議，強化了儀表板系統的協調性與靈活性，使其能夠應對智慧製造高 複雜度之挑戰，並提升整體生產過程的效率。
本系統的創新之處在於不僅能監控生產設備，還能監控人員的工作狀態。運用JMobile軟體開發個性化介面，整合異質平台數據模組，使得不同品牌與型號的設備能夠在統一介面下進行高效操作與監控，如環境監控面板、工業型機械手臂、傳送帶、協作型機械手臂、光學檢測機以及網路攝影機。管理者可以依據自身需求進行配置，展示現場相關的數據，從而提升使用者的體驗與數據透明度。同時，透過系統實現操作人員生理狀態的監控，如心率和皮膚電導等指標，以判斷人員的疲勞和壓力程度，促進人機協作的深度整合，並提升系統的可擴展性，使其從設備管理擴展至人員管理。
個性化介面設計可根據用戶需求靈活配置，針對不同崗位或任務需求，監控相關的生理數據，即時反映人員狀態，便於管理者即時查看最相關的數據並做出決策。此介面還支持遠程監控，管理者無需抵達現場，即可掌握人員的工作狀況及生理反應，有助於即時處理可能出現的安全隱患，提升了工作效率、保障操作人員的安全，以及降低工安事故的風險。整體而言，此系統介面不僅優化了操作體驗，還提升系統在複雜工作場景下的應用能力，促進了智慧工廠的人機協作效率，進一步增強了系統在實際工業應用中的價值。
本研究通過整合數位孿生技術與人機協作，構建了一個可擴展的數位孿生儀表板系統框架，為智慧製造領域提供了一種創新的解決方案。該系統展示了其在工業自動化、智慧工廠管理及操作員安全保障等方面的廣泛應用潛力，為未來儀表板系統的發展奠定基礎。

This dissertation addresses the technical limitations of current dashboard systems in human-machine collaboration (HMC) applications by proposing a highly integrated, intelligent, flexible, and interactive dashboard system based on digital twin (DT) technology. Using a flexible GPU card assembly line as an example, the system incorporates multiple DT modules, including an operator, screw machine, robotic arm, and automatic optical inspection (AOI). These modules enable real-time monitoring, parameter adjustment, and optimization of production equipment and the surrounding environment. By establishing a set of communication protocols, the system enhances coordination and flexibility, enabling it to handle the complexities of intelligent manufacturing while improving overall production efficiency.
The key innovation of this system is its ability to monitor not only production equipment but also the working status of personnel. With JMobile software, personalized interfaces are developed, and data modules from heterogeneous platforms are integrated, allowing equipment from various brands and models to be managed and monitored under a unified interface, includes an environmental monitoring dashboard, industrial robotic arm, conveyor, collaborative robotic arm, AOI, and IP cameras. Managers can customize the system based on their specific needs and display relevant data on-site, improving user experience and ensuring data transparency. Additionally, the system tracks the operator's physiological status, such as heart rate and skin conductance, to assess fatigue and stress levels. This enhances the depth of HMC integration and extends system scalability, shifting its focus from equipment management to personnel management.
The personalized interface can be flexibly configured to meet user-specific requirements. Depending on the role position or job requirement, relevant physiological data is monitored in real-time, enabling managers to access the most pertinent information and make informed decisions on the spot. The interface also supports remote monitoring, allowing managers to assess personnel's operational and physiological status from afar. This capability helps mitigate safety risks in real-time, improves work efficiency, ensures operator safety, and reduces the risk of industrial accidents. Overall, the system's interface not only optimizes the user experience but also enhances the system's applicability in complex work environments, improving the efficiency of HMC in smart factories and increasing its practical value in industrial applications.
By integrating DT technology with HMC, this study develops a scalable DT dashboard system framework, offering an innovative solution for intelligent manufacturing. The system showcases significant potential for industrial automation, intelligent factory management, and operator safety, laying a strong foundation for the next generation of dashboard systems in the industry.

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