Abstract
Cyber Physical System (CPS) together with Internet of Things, Big Data, Cloud Computing and Industrial Wireless Networks are the core technologies allowing the introduction of the fourth industrial revolution, Industry 4.0. Along with the advances in new generation information technologies, smart manufacturing is becoming the focus of global manufacturing transformation. Considering the competitive nature of industry, it requires manufacturers to implement new methodologies. Realistic virtual models mirroring the real world are becoming essential to bridge the gap between design and manufacturing. In this paper model conceptualization, representation, and implementation of the digital twin is presented, on the real use case of manufacturing industry and in the cyber physical environment. A novel CPS architecture for real time visualization of complex industrial process is proposed. It essentially considers the Simulation technological pillar of Industry 4.0. The results from a real industrial environment show good performances in terms of real time behaviour, virtual reality and WebGL CPS visualization features, usability and readability.
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Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., Pinto, E.B., Eisert, P., Döllner, J., Vallarino, I.: Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Comput. Graph. Appl. 35(2), 26–40 (2015)
Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16, 3–8 (2014)
Kagermann, H., Wahlster, W., Helbig, J.: Securing the future of German manufacturing industry. Recommendations for implementing the strategic initiative INDUSTRIE 4 (2013)
Khaitan, S.K., McCalley, J.D.: Design techniques and applications of cyberphysical systems: a survey. IEEE Syst. J. 9(2), 350–365 (2015)
Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)
National Institute of Standards and Technology: Workshop report on foundations for innovation in cyber-physical systems, January 2013
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., Zhao, W.: A survey on internet of things: architecture, enabling technologies, security and privacy, and applications. IEEE Internet Things J. 4(5), 1125–1142 (2017)
Nitti, M., Pilloni, V., Colistra, G., Atzori, L.: The virtual object as a major element of the internet of things: a survey. IEEE Commun. Surv. Tutor. 18(2), 1228–1240 (2016)
Grieves, M.: Digital twin: Manufacturing excellence through virtual factory replication. White paper (2014)
Qi, Q., Tao, F.: Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access 6, 3585–3593 (2018)
Pierdicca, R., Liciotti, D., Contigiani, M., Frontoni, E., Mancini, A., Zingaretti, P.: Low cost embedded system for increasing retail environment intelligence. In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1–6. Turin (2015)
Mancini, A., Clini, P., Bozzi, C.A., Malinverni, E.S., Pierdicca, R., Nespeca, R.: Remote touch interaction with high quality models using an autostereoscopic 3D display. In: De Paolis, L.T., Bourdot, P., Mongelli, A. (eds.) AVR 2017. LNCS, vol. 10325, pp. 478–489. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60928-7_40
Pierdicca, R., Frontoni, E., Pollini, R., Trani, M., Verdini, L.: The use of augmented reality glasses for the application in industry 4.0. In: De Paolis, L.T., Bourdot, P., Mongelli, A. (eds.) AVR 2017. LNCS, vol. 10324, pp. 389–401. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60922-5_30
Sturari, M., Liciotti, D., Pierdicca, R., Frontoni, E., Mancini, A., Contigiani, M., Zingaretti, P.: Robust and affordable retail customer profiling by vision and radio beacon sensor fusion. Pattern Recogn. Lett. 81, 30–40 (2018)
Frontoni, E., Marinelli, F., Rosetti, R., Zingaretti, P.: Shelf space re-allocation for out of stock reduction. Comput. Ind. Eng. 106, 32–40 (2017)
Frontoni, E., Marinelli, F., Paolanti, M., Rosetti, R., Zingaretti, P.: Optimal production planning by reusing components. In: 2016 24th Mediterranean Conference on Control and Automation (MED), pp. 1272–1277. Athens, June 2016
Coronado, P.D.U., Lynn, R., Louhichi, W., Parto, M., Wescoat, E., Kurfess, T.: Part data integration in the shop floor digital twin: mobile and cloud technologies to enable a manufacturing execution system. J. Manuf. Syst. (2018)
Giraldo, J., Sarkar, E., Cardenas, A.A., Maniatakos, M., Kantarcioglu, M.: Security and privacy in cyber-physical systems: a survey of surveys. IEEE Des. Test 34(4), 7–17 (2017)
Torrisi, N.M.: Monitoring services for industrial. IEEE Ind. Electron. Mag. 5(1), 49–60 (2011)
Iarovyi, S., Mohammed, W.M., Lobov, A., Ferrer, B.R., Lastra, J.L.M.: Cyber-physical systems for open-knowledge-driven manufacturing execution systems. Proc. IEEE 104(5), 1142–1154 (2016)
Almada-Lobo, F.: The industry 4.0 revolution and the future of manufacturing execution systems (mes). J. Innov. Manag. 3(4), 16–21 (2016)
Buckholtz, B., Ragai, I., Wang, L.: Cloud manufacturing: current trends and future implementations. J. Manuf. Sci. Eng. 137(4), 040902 (2015)
Schleich, B., Anwer, N., Mathieu, L., Wartzack, S.: Shaping the digital twin for design and production engineering. CIRP Ann. 66(1), 141–144 (2017)
Huang, J., Zhu, Y., Cheng, B., Lin, C., Chen, J.: A petrinet-based approach for supporting traceability in cyber-physical manufacturing systems. Sensors 16(3), 382 (2016)
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Frontoni, E., Loncarski, J., Pierdicca, R., Bernardini, M., Sasso, M. (2018). Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10851. Springer, Cham. https://doi.org/10.1007/978-3-319-95282-6_31
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DOI: https://doi.org/10.1007/978-3-319-95282-6_31
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