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Digital Twin-Based Service System Platform

  • Zeyu Ma,
  • Hongjun Wang,
  • Mingliang Zhang

摘要

This paper discusses the integration and application of digital twin technology within the manufacturing sector, underscoring its pivotal role in advancing the Industry 4.0 revolution. Digital twin technology, which creates dynamic virtual replicas of physical systems, facilitates enhanced simulation, analysis, and optimization of real-world processes. The implementation of this technology, illustrated through examples from NASA and the U.S. Air Force Research Laboratory, demonstrates its significant contributions across the entire product lifecycle, including design, manufacturing, service operation, and maintenance. The paper introduces a comprehensive framework for a digital twin-based production line service system, leveraging the Internet of Things (IoT) technology and flexible simulation to enable real-time user-application interaction, front-end operation responsiveness, and efficient data management. This system enhances operational efficiency, reduces time-to-market, and improves issue prediction and mitigation through virtual-real mapping and debugging. An application case using MongoDB highlights the technology's adaptability and effectiveness in managing complex data structures. The study concludes that digital twin technology is instrumental in driving smart manufacturing, innovation, and maintaining a competitive advantage in the evolving industrial landscape. Key references provide a foundation for understanding the technology's development and application, reinforcing the digital twin's role as a transformative element in manufacturing.