Dongdong Wu
ABSTRACT
The continuous deepening of the construction of my country's IIoT identity resolution system needs to be applied to various fields to establish its Industrial IoT ecosystem. The research on Digital twin has also expanded from concept to practical application. Identity resolution and Digital twin each realize the "symbiosis and same growth" of products in the two dimensions of data and model. For the Product entire life cycle, the use of different rules for encoding information between companies will hinder the sharing of the Digital twin model, which will subsequently increase the difficulty of constructing the Digital twin scene. This article proposes a combination of identity resolution and digital twin, which has broken the barriers to data flow between enterprises. Finally, to realize the model sharing between different enterprises. In the field of aviation manufacturing, the two are organically combined. Use the IIoT platform to establish a full-element, multi-scale product twin model. Apply it to the full life cycle management of Aviation products and target several important life stages of Aviation products. To study the method and application of the corresponding twin scene model to realize the intelligent manufacturing of Aviation products.
- Grieves and M. W., "Product lifecycle management: the new paradigm for enterprises," International Journal of Product Development, vol. 2, no. 1/2, p. 71, 2005.Google Scholar
Cross Ref
- M. Grieves, Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management. 2011.Google Scholar
- E. Tuegel, "The Airframe Digital Twin: Some Challenges to Realization," in Aiaa/asme/asce/ahs/asc Structures, Structural Dynamics & Materials Conference Aiaa/asme/ahs Adaptive Structures Conference Aiaa, 2013.Google Scholar
- F. Tao, Y. Cheng, J. Cheng, M. Zhang, W. Xu, and Q. Qi, "Theory and technologies for cyber-physical fusion in digital twin shop-floor " Computer Integrated Manufacturing Systems, vol. 23, pp. 1603-1611, 08/01 2017.Google Scholar
- R. Magargle, L. Johnson, P. Mandloi, P. Davoudabadi, and A. Pitchaikani, "A Simulation-Based Digital Twin for Model-Driven Health Monitoring and Predictive Maintenance of an Automotive Braking System," in International Modelica Conference, 2017.Google Scholar
- F. Tao , "Five-dimension digital twin model and its ten applications," Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, vol. 25, pp. 1-18, 01/01 2019.Google Scholar
- F. Biesinger, D. Meike, B. Kras, and M. Weyrich, "A Case Study for a Digital Twin of Body-in-White Production Systems General Concept for Automated Updating of Planning Projects in the Digital Factory," in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.Google Scholar
- J. Liu , "Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin," IEEE Access, vol. 7, pp. 19312-19323, 2019.Google ScholarCross Ref
- Z. Zhu, C. Liu, and X. Xu, "Visualisation of the Digital Twin data in manufacturing by using Augmented Reality," Procedia CIRP, vol. 81, pp. 898-903, 06 2019.Google ScholarCross Ref
- C. Mandolla, A. M. Petruzzelli, G. Percoco, and A. Urbinati, "Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry," Computers in Industry, vol. 109, pp. 134 - 152, 2019.Google ScholarDigital Library
- V. Damjanovic-Behrendt, "A Digital Twin-based Privacy Enhancement Mechanism for the Automotive Industry," in 2018 International Conference on Intelligent Systems (IS), 2018.Google Scholar
- F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee, "Digital Twin in Industry: State-of-the-Art," IEEE Transactions on Industrial Informatics, vol. 15, no. 4, pp. 2405-2415, 2019.Google ScholarCross Ref
- C. Li, S. Mahadevan, Y. Ling, S. Choze, and L. Wang, "Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin," AIAA Journal, vol. 55, no. 3, pp. 1-12, 2017.Google ScholarCross Ref
- X. V. Wang and L. Wang, "Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0," International Journal of Production Research, vol. 57, no. 11-12, p. 3892 3902, 2019.Google Scholar
- R. Dong, C. She, W. Hardjawana, Y. Li, and B. Vucetic, "Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin," IEEE Transactions on Wireless Communications, vol. 18, no. 10, pp. 4692-4707, 2019.Google ScholarDigital Library
- H. Winkler], "Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process," Procedia CIRP, 2018.Google Scholar
- Y.-X. Hu , "Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer," Journal of Translational Medicine, vol. 17, no. 1, pp. 1-13, 2019.Google ScholarCross Ref
- X. Zhan, X. Li, and X. Lui, "Study on Product Data Structure and Realization of Model Based on PLM," Advances in Intelligent Systems & Computing, vol. 180, pp. 1001-1008, 2013.Google ScholarCross Ref
- A. El Saddik, "Digital Twins: The Convergence of Multimedia Technologies," IEEE MultiMedia, vol. 25, no. 2, pp. 87-92, 2018.Google ScholarDigital Library
- F. Tao and M. Zhang, "Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing," IEEE Access, vol. 5, pp. 20418-20427, 2017.Google ScholarCross Ref
- "MBD-Based Three-Dimensional Digital Assembly Process Design and on-Site Visualization Technology Application," Aeronautical Manufacturing Technology, 2011.Google Scholar
Recommendations
Model-based data integration along the product & service life cycle supported by digital twinning
AbstractCurrently, a mega-trend on digitization and servitization using digital technologies and digital twins to support digital (business) transformation can be observed. In literature, emerging digital technologies are considered as an ...
Highlights- Physical experiments and digital twins are seen as cornerstone for integrating data along the product and service life cycle.
Digital Modelling of Product Development Process Supporting Entire Life Cycle
ICMTMA '11: Proceedings of the 2011 Third International Conference on Measuring Technology and Mechatronics Automation - Volume 01Product’s life cycle is a continuous and variational time process and can be divided into a sequence of life phase. In this paper, product development process was viewed as an optimization process to find a process set under given evaluation factors ...
Life cycle design for inverse manufacturing
ecodesign'99: Proceedings of the First international conference on Environmentally conscious design and inverse manufacturingFor achieving feasible product performance throughout the whole life cycle of products, a new approach to product life cycle design, called as Inverse Manufacturing, is proposed, where products are designed for their entire life cycle from product ...
Comments