智慧製造軟體發展及應用

為因應產業對高效、彈性及智慧型生產的需求，製造執行系統（Manufacturing Execution System, MES）在智慧製造中扮演關鍵角色，提供生產計畫管理和設備監控等功能，並即時反饋生產線狀態和數據。製造控制系統（Material Control System, MCS）則專注於提升工業自動化的效能、彈性及安全性，透過感測器技術、工業物聯網（Industrial Internet of Things, IIoT）及人工智慧（Artificial Intelligence, AI）的整合，實現即時數據收集與分析，從而做出最佳化的生產決策。進一步，製程異常偵測和切削參數優化可藉由分析製程振動訊號和應用深度學習模型來達成即時監控與品質控管。此外生產過程中還面臨能源管理和資安挑戰，隨著能源成本上升和IIoT裝置的普及，需加強能源管理並引入零信任資安模型，以保護關鍵資產。

To meet the industry's demand for efficient, flexible, and intelligent manufacturing process, Manufacturing Execution Systems (MES) play a critical role in intelligent manufacturing by providing functions such as production planning management and equipment monitoring, along with real-time production line status and data feedback. Manufacturing Control Systems (MCS) focus on enhancing industrial automation performance, flexibility, and security through the integration of sensor technology, Industrial IoT (IIoT), and Artificial Intelligence (AI), enabling real-time data collection and analysis to make optimized production decisions. Further advancements can be made in process anomaly detection and cutting parameter optimization by analyzing process vibration signals and employing deep learning models to achieve real-time monitoring and quality control of the machining process. Additionally, challenges in energy management and cybersecurity arise in production, where rising energy costs and the widespread adoption of IIoT devices necessitate strengthening energy management and implementing a zero-trust cybersecurity model to protect critical assets.