- 對系統建模或工業運作的理解
- 具備Python或類似程式語言的經驗
- 熟悉數據整合概念
受眾
- 數位轉型領導者
- 工廠IT人員
- 數據架構師
數位孿生是物理系統的虛擬複製品，通過即時數據和AI驅動的智能進行增強。
這門由講師指導的培訓（線上或線下）面向中級專業人士，旨在使用即時數據和基於AI的洞察來構建、部署和優化數位孿生模型。
在培訓結束時，參與者將能夠：
- 理解數位孿生的架構和組件。
- 使用模擬工具來建模複雜的系統和環境。
- 將即時數據流集成到虛擬模型中。
- 應用AI技術進行預測行為和異常檢測。
課程形式
- 互動式講座和討論。
- 大量練習和實踐。
- 在實時實驗室環境中進行實踐操作。
課程定制選項
- 如需為此課程定制培訓，請聯繫我們安排。
數位孿生簡介
- 數位孿生的概念與演進
- 在製造、能源和物流中的應用案例
- 數位孿生的架構與生命週期
系統建模與模擬
- 使用Simulink進行動態系統建模
- 基於物理與數據驅動的建模
- 使用Unity進行系統視覺化
即時Data Integration
- 使用MQTT和OPC-UA進行連線
- 使用Node-RED進行數據串流
- 將感測器和機器數據導入孿生體
數位孿生中的AI與Machine Learning
- 整合AI模型進行預測與優化
- 使用TensorFlow或PyTorch處理即時數據
- 基於模擬輸出訓練模型
視覺化與儀表板
- 設計用於孿生體監控的使用者介面
- 3D與2D視覺化選項
- 具即時洞察的自定義儀表板
案例研究：構建數位孿生原型
- 端到端的製造資產孿生體設計
- 數據整合與機器學習設置
- 在模擬環境中部署與測試
維護與擴展數位孿生
- 生命週期管理與更新
- 互操作性與標準
- 擴展至多個資產或流程
總結與下一步
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