Digital Twin Technology

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 Embraer to revolutionize their manufacturing facilities, primarily focusing on Industry 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.

Technology Overview

Implementation of a digital twin in Embraer’s aircraft manufacturing facility is an essential step towards the realization of Industry 4.0, characterized as the Embraer 4.0 strategy by 2030. The field of Digital Engineering defines Digital Twin as a virtual representation of physical assets, processes, systems, or products that serve as a real-time representation throughout the system development lifecycle. The Aircraft Manufacturing Facility’s Digital Twin is a seamless integration of Data Handling, System Integration, Modeling, Simulation, and Digital Thread Implementation.

As per Embraer's Digital Twin strategy, defined by the Industry 4.0 Vertical Team, it primarily addresses three critical challenges:

a) Infrastructure

b) Business Processes

c) Digital Thread

In addition, the successful realization of Digital Twin also encompasses:

i) Establishing robust system integration

ii) Optimizing data storage

iii) Processing capacities

iv) Evaluating ROI

v) Managing transformative changes

The Digital Twin Strategy is intended not to be realized in a vacuum but well integrated with other ongoing Digital/AI Transformation efforts. This includes 'Generative AI models which will play an essential role in enabling Digital Twins to simulate and optimize manufacturing processes, adapt to unforeseen scenarios, and generate innovative solutions.

The diagram **Progress of Digital Twin Technology from 1943 to 2024** illustrates how Digital Twin has evolved over the years in terms of its capability to integrate available data for specific complex systems. Historical events have been used as Data points to illustrate the critical milestones in Ditial Twin, incorporating technologies such as Neural Networks, Computer Aided Engineering (CAE), Computer-Aided Design (CSD), and Cognitive Learning capabilities. The evolution graph uses **Data Integration Equation** to track the progression of capability development of Digital Twin, with each historical milestone appearing to mark an increase in data integration.