在工業4.0的發展下，製造場域普遍存在多樣化的通訊協議與異質設備，如何整合這些數據並進行即時管理與智慧控制，成為工業物聯網的重要課題。為解決此挑戰，本研究開發一套架設於邊緣閘道器的跨協議整合平台，能有效整合 Modbus 與 OPC UA 兩種協議來源的數據，並提供統一的管理機制。系統具備數據聚合功能，不僅能整合多設備的即時資訊進行分析與展示，提升場域數據的可用性與延展性，還可同時聚合實體與虛擬項目，以支援更彈性的數據建模。所有監控數據最終統一轉換為 OPC UA 格式，並透過數據發佈機制輸出至聚合伺服器，提供其他應用程式或上層系統使用，以確保跨系統的一致性與兼容性。此外，平台設計集中式可視化介面，協助使用者監控設備狀態、追蹤數據動態，並靈活設定發佈策略；在資料建模層面，系統引入physical Item 與virtual Item的概念，前者對應實體設備監控項目，後者作為數據抽象層，允許使用者基於實體數據定義計算規則，產生衍生數據點，並能夠與原始實體數據一併聚合，進一步簡化異質數據的管理。基於此架構，系統支援響應式控制功能，使用者可自定義觸發條件，當特定情境成立時即回傳控制命令至終端設備，實現智慧化的自動化調整。因此，提出的邊緣閘道器平台不僅解決工業場域在數據整合與管理上的挑戰，也透過統一化數據發佈與響應式控制，展現對智慧製造與工業物聯網應用發展的推動價值。

With the advancement of Industry 4.0, manufacturing environments are increasingly characterized by diverse communication protocols and heterogeneous devices, making data integration, real-time management, and intelligent control critical challenges for the Industrial Internet of Things (IIoT). To address these issues, this work develops a cross-protocol integration platform deployed on an edge gateway, consolidating data from Modbus and OPC UA while providing a unified management framework. The system incorporates data aggregation functions that integrate real-time information from multiple devices for analysis, visualization, and further support the aggregation of both Physical Items and Virtual Items to enable flexible data modeling. All monitored data is standardized into the OPC UA format and disseminated through a publishing mechanism to an aggregated server, ensuring consistent and interoperable access for higher-level systems. The platform also provides a centralized visualization interface for equipment monitoring, data tracking, and configuration of publishing strategies. At the modeling level, Physical Items represent monitored points from actual devices, while Virtual Items serve as an abstraction layer that allows users to define computation rules, generate derived data points, and aggregate them with physical data to simplify management. Based on this architecture, the system supports responsive control, enabling users to define trigger conditions and automatically send control commands to field devices when specific situations occur, thereby achieving intelligent automation. Overall, the proposed edge gateway platform addresses data integration and management challenges in industrial environments and, through unified publishing and responsive control, contributes to the advancement of smart manufacturing and IIoT applications.

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