| 公告主旨 |
From Data to Digital Twin: Enabling the Future of Manufacturing |
| 公告內容 |
講題簡介：
In this talk, Professor Duane Boning examines the transformative potential of combining advanced sensors, connectivity, data infrastructure, machine learning, and artificial intelligence in manufacturing. These technologies are enabling smarter, more sustainable, and more efficient operations. A central focus of the talk is the concept of digital twins—virtual models that mirror physical systems in real-time. Professor Boning explores how digital twins can support a wide range of manufacturing activities, including real-time process control, fault detection, predictive maintenance, and yield improvement. He emphasizes the importance of adaptable models, standardized data representations, and robust approaches to handling variability and uncertainty. With recent advances in AI/ML, it’s arguable that the industry is at a tipping point, ready to build comprehensive digital twin ecosystems.
在本場演講中，Duane Boning 教授將探討先進感測器、連接性、數據基礎設施、機器學習與人工智慧應用於製造業的變革潛力。這些技術將製造的流程變得更智慧化、更永續，且更高效。本演講的核心聚焦於「數位孿身」（Digital Twins）的概念——一種能即時反映實體系統狀況的虛擬模型。Boning 教授將深入說明數位孿身如何應用於各種製造流程，包括即時製程控制、故障偵測、預測性維護，以及良率提升。Boning 教授強調，建立具備高度適應性的模型、標準化的資料表示方式，以及能夠有效因應變異性與不確定性的穩健方法，都是實現數位孿身技術的關鍵。隨著人工智慧與機器學習的快速進展，產業正處於一個關鍵轉捩點，準備邁向建構完整數位孿身生態系統的新階段。
演講人：
Dr. Duane Boning
Clarence J. LeBel Professor of Electrical Engineering, MIT
Professor of Electrical Engineering and Computer Science in the EECS Department, MIT
Vice Provost for International Activities, MIT
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