- 學位論文
結合Unity3D虛擬引擎與Automation Studio軟體平台之數位孿生應用—以物料搬運分類系統為例
A Material Handling digital twin system by integrating Unity 3D virtual engine and Automation Studio software
摘要
隨著工業革命的不斷演進，製造業在降低生產成本、提升產品品質和提高生產線效能方面一直是不斷努力的目標。近年來，工業 4.0 潮流帶來了智慧製造技術的應用，透過運用計算機運算能力的提升，整合不同的製造需求，縮短實現目標的距離，並實現故障預測與診斷，從而提升生產水準，成為工業技術研究的主要方向之一。 本論文的研究主要探討智慧製造技術的應用，通過數位孿生(Digital Twins)技術以及整合 Unity3D 和 Automation Studio 兩種軟體，實現生產線的自動化控制。我們將演示模擬不同技術在虛擬實境系統中的結合，並說明該應用在現實生產中所帶來的效益。我們使用 Automation Studio 軟體平台進行整個控制項目的迴路設計，調整各項參數及其機械特性以進行不同狀態下的研究。同時，我們使用 Unity3D 虛擬引擎進行數位孿生建模，呈現其機械操作和動畫控制設計，並測試與驗證其最佳化模擬參數的可行性，實現真實環境下的運行場景狀態。 這種整合方式有助於操作人員提前發現實際設備的問題，進行控制策略的優化，以達成現實運作的預期效果，並避免運行發生故障的風險。未來，這種方式可應用於課程或網路上，提供模擬與實驗的空間，實現人員培訓和教育的目的。
並列摘要
With the continuous evolution of technologies, the manufacturing industries have always been striving to reduce production costs, improve product quality, and increase production line efficiency all at the same time. Owing to the improvement of computing power of processors, how to integrate various manufacturing needs, diminish the difficulties to achieve prospective goals, and realizing fault predictions and diagnosis has become one of the main directions of industrial 4.0 technology research. The research in this paper mainly explores the application of intelligent manufacturing technology. By using the concepts of Digital Twins and integrating two software, Unity3D and Automation Studio, the automation control of a production line scenario was provided. We will demonstrate the combination of different technologies in the virtual reality system and explain the benefits of the application compared to those in reality. Under the platform of Automation Studio, the various parameters and their mechanical characteristics of projects could be adjusted to conduct research under different scenarios. Unity3D virtual engine was employed for modeling mechanical operations to design, test, verify the feasibility of its optimized simulation parameters, and realize the operating scene status in a real environment. With the concept of integration in this paper, operators and technicians could be trained or even discover problems with actual equipment in advance, optimize control strategies to achieve expected operational effects, and avoid the risk of operational failure. In the future, this approach can be applied to courses or online, providing possibilities for simulation and experimentation to achieve the goal of personnel training and education.