Digital Twin Technology
Revision as of 23:23, 9 October 2024 by Abhayc (talk | contribs) (→Technology Roadmap Sections and Deliverables)
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 Embrear to revolutionize their manufacturing facilities, primarily focusing onIndustry 4.0.
- 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 and its strategic significance to industry needs.
- Level 2 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 technology implementation in product, facility, and operations. Level 3 covers 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.
- Level 4 subsystems are pivotal in effectively deploying 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.
- Level 5 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.
- Level 6 elements ensure that the Digital Twin systems are secure, scalable, and integrated with other enterprise systems.