Digital Twin Technology

Roadmap Creators: Abhay Chauhan, Dax Contreras, and Sai Prasad Balla

Technology Roadmap Sections and Deliverables

Our technology roadmap identifier is shown as:

• 2DTT - Digital Twin Technology

This identifier represents a Level 2 technology roadmap focused on product-level aspects of Digital Twin Technology. The roadmap is segmented into various tiers, with each level becoming more granular and specific as it progresses.

Level 1 (Market Level):

• Focuses on the broader market context for Digital Twin Technology, including industry trends like Industry 4.0 and Smart Manufacturing.
• The market demands and technological trends that drive the need for Digital Twin solutions are addressed here.

Level 2 (Product/Technology Level):

• This is the product or overarching technology level, dealing with the general 2DTT Digital Twin Technology as a whole and its strategic significance to industry needs.
• This level encompasses the overall architecture and essential components of Digital Twin, such as Physical Technology Integration and Smart Industry Platforms.

Level 3 (System/Facility Level):

• The roadmap breaks down into system-level components where the Digital Twin is implemented across specific systems or facilities.
• Key areas covered include Digital Twin for Products, Digital Twin for Manufacturing Facilities, and Digital Twin for Production Operations. These cover end-to-end integration and system-level optimization.

Level 4 (Subsystem Level):

• At this level, the subsystems and digital enablers are detailed, such as Modeling & Simulation, Sensor Integration, CAD Data Integration, AI & Analytics, Process Control Systems, and Digital Threads.
• These subsystems play a pivotal role in the effective deployment of Digital Twins across different environments.

Level 5 (Component Level):

• The roadmap moves to specific components like Edge Units, Real-Time Monitoring Sensors, Data Storage Structures, Predictive Maintenance Algorithms, and Quality Control Analysis.
• These components ensure the robust performance of digital twin models by continuously feeding real-time data and predictive insights into the system.

Level 6 (Technology or Tool Level):

• Finally, at the most granular level, individual technologies or tools such as AI/ML Models, Encryption Mechanisms, Authentication Systems, and Digital Twins Interoperability Tools are addressed.
• These elements ensure that the Digital Twin systems are secure, scalable, and integrated with other enterprise systems.