促進工業4.0的發展已成為近年來許多國家的重要戰略。然而，工業4.0需要跨領域的人才的配合，因此人力和人才培養是工業4.0的重大挑戰。本文基於西門子工業4.0示範智慧工廠的概念，包括大數據、雲端計算、智能工廠、虛實整合系統和嵌入式裝置等，創建一個智能飲料工廠，製程包括貼標籤、填果糖、填充飲料與檢測產品來完成客製化飲料，機器透過物聯網技術快速的傳遞資料，搭配嵌入式裝置於機器中，每台機器都是獨立的個體並可獨立運算，結合雲端計算技術進行大數據的管理，大大的減少人力成本。我們將上述概念和製程結合在一起，實現自動化和客製化生產，並將這個生產線用作示範智慧工廠展示給學生，學生可以實際操作此工廠並快速的了解工業4.0的相關知識與應用。我們邀請了15位參觀此工廠並完成一項CPS專案，調查結果顯示，此教學方式可有效的提升學生對於工業4.0的瞭解。

Promoting the development of Industry 4.0 has become a significant strategy for many countries in recent years. However, Industry 4.0 needs the cooperation of cross-disciplinary talents, so manpower cultivation and talented education are big challenges in development of Industry 4.0. This paper is based on the concept of Siemens Industry 4.0 factory including big data, cloud computing, smart factory, cyber-physical system and mobile devices to create a smart beverage factory. Processes include labeling, syrup filling, drink filling and testing to complete a customized beverage. The machine quickly transmits data through the Internet of Things (IoT) technology. With the installation of embedded devices in the machine, each machine is an independent part and operates independently. Big data management through cloud computing technology will reduce labor costs. We combined the above concepts and processes to achieve automated and customized production, demonstrating it to students. Students can actually control and monitor the plant and quickly learn about the relevant knowledge and applications of Industry 4.0. We invited 15 students to visit the factory and implement a CPS project. The result of evaluation shows that the teaching aid does improve knowledge of students on Industry 4.0.

[1] Ministry of Economic Affairs of Taiwan, https://www.moea.gov.tw/mns/dos/bulletin/Bulletin.aspx?kind=9&html=1&menu_id=18808&bull_id=2934
[2] Siemens website, https://www.siemens.com/global/en/home/company/topic-areas/future-of-manufacturing.html
[3] Siemens industry 4.0 factory introduction, https://www.youtube.com/watch?v=bK5KoV3v0cg
[4] Lucke, D., Constantinescu,C., & Westkamper, E. 2008 it Smart factory-a step towards the next generation of manufacturing. In Manufacturing systems and technologies for the new frontier (pp. 115-118). Springer, London.
[5] Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. 2014 The smart factory: exploring adaptive and flexible manufacturing solutions. Procedia Engineering, 69, 1184-1190.
[6] Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. 2013 Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.
[7] Lee, J., Bagheri, B., & Kao, H. A. 2015 A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23.
[8] Levshun, D., Chechulin, A., & Kotenko, I. 2017 Design lifecycle for secure cyber-physical systems based on embedded devices. In Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017 Proceedings of 9th IEEE International Conference on (Vol. 1, pp. 277-282). IEEE
[9] Yuan, W., Deng, P., Taleb, T., Wan, J., & Bi, C. 2016 An unlicensed taxi identification model based on big data analysis. IEEE Transactions on Intelligent Transportation Systems, 17(6), 1703-1713.
[10] Wan, J., Tang, S., Li, D., Wang, S., Liu, C., Abbas, H., & Vasilakos, A. V. 2017 A manufacturing big data solution for active preventive maintenance. IEEE Transactions on Industrial Informatics, 13(4), 2039-2047.
[11] Wang, M. 2016 Data fusion processing of the Internet of industrial things based on adaptive unscented Kalman algorithm. Electric Drive Automation, 38(4), 43-47.
[12] Wan, J., Zhang, D., Sun, Y., Lin, K., Zou, C., & Cai, H. 2014 VCMIA: a novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing. Mobile Networks and Applications, 19(2), 153-160.
[13] Waidner, M., & Kasper, M. 2016 Security in industrie 4.0-challenges and solutions for the fourth industrial revolution. In Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016 (pp. 1303-1308). IEEE.
[14] Zheng, P., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., Mubarok, K., ... & Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering, 1-14.
[15] Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., ... & Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE computer graphics and applications, 35(2), 26-40.
[16] Pannu, G. S., Ansari, M. D., & Gupta, P. (2015). Design and implementation of autonomous car using Raspberry Pi. International Journal of Computer Applications, 113(9).
[17] MobaXterm free Xserver and tabbed SSH client for Windows,(https://mobaxterm.mobatek.net/)