Weitere ähnliche Inhalte Ähnlich wie Meet Preston, and Explore Your Digital Twin in Virtual Reality (GPSTEC321) - AWS re:Invent 2018 (20) Mehr von Amazon Web Services (20) Meet Preston, and Explore Your Digital Twin in Virtual Reality (GPSTEC321) - AWS re:Invent 20182. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Meet Preston, and Explore Your
Digital Twin in Virtual Reality
G P S T E C 3 2 1
Madhuri Susarla
Solution Architect
Amazon Web Services
Shrivastava, Saurabh
Solution Architect
Amazon Web Services
Luis Lopez Soria
Solution Architect
SME Sumerian
Amazon Web Services
Infosys
3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Digitization of the Industrial marketplace
4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
• Digital replica of a physical machine
7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
• Digital replica of a physical machine
• Uses real-time operational and health data
8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
• Digital replica of a physical machine
• Uses real-time operational and health data
• Combined with machine learning to draw insights into real world behavior
9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
• Digital replica of a physical machine
• Uses real-time operational and health data
• Combined with machine learning to draw insights into real world behavior
• With AR/VR real-time data overlaid on the physical machine
10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What is a Digital Twin
• Digital replica of a physical machine
• Uses real-time operational and health data
• Combined with machine learning to draw insights into real world behavior
• With AR/VR real-time data overlaid on the physical machine
• Proactive maintenance model
11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Digital Twin technology
• Continually collect real-time data using IoT
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Digital Twin technology
• Continually collect real-time data using IoT
• Control the operation of the machine
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Digital Twin technology
• Continually collect real-time data using IoT
• Control the operation of the machine
• Immersive experience of living model of machine
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Digital Twin technology
• Continually collect real-time data using IoT
• Control the operation of the machine
• Early warning, prediction, optimization
• Immersive experience of living model of machine
15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use cases
Predictive maintenance
Simulate what-if scenarios to determine the optimum KPI
Remote maintenance where it is inaccessible or risky for
humans
Education and training
17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
19. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use cases
Predictive maintenance
Simulate what-if scenarios to determine the optimum KPI
Remote maintenance where it is inaccessible or risky for
humans
Education and training
20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use cases
Predictive maintenance
Simulate what-if scenarios to determine the optimum KPI
Remote maintenance where it is inaccessible or risky for
humans
Education and training
22. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
23. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use cases
Predictive maintenance
Simulate what-if scenarios to determine the optimum KPI
Remote maintenance where it is inaccessible or risky for
humans
Education and training
24. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
26. Model the mind of the machine―Digital TwinMONITORANALYZEACT
Edgedevices
AWSIoTCore
Telemetry data
AmazonLex,AmazonPolly
DIGITAL TWIN
AmazonSumerian
27. Model the mind of the machine―Digital TwinMONITORANALYZEACT
Edgedevices
AWSIoTCore
AWSIoTCore
AmazonSageMaker
AmazonQuickSight
AWSIoTAnalytics
Telemetry data
Predictions
AmazonLex,AmazonPolly
DIGITAL TWIN
AmazonSumerian
28. Model the mind of the machine―Digital TwinMONITORANALYZEACT
Edgedevices
AWSIoTCore
AWSIoTCore
AmazonSageMaker
AmazonQuickSight
AWSIoTAnalytics
AWS Lambda
Telemetry data
Operational params
Predictions
AWSIoTCore
Edgedevices
AmazonLex,AmazonPolly
DIGITAL TWIN
AmazonSumerian
29. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AWS IoT Architecture
AWS Greengrass
Endpoints
Fleet onboarding,
management and
SW updates
Fleet
audit and
protection
AWS IoT data
analytics and
intelligence
Gateway
Things
Sense & act
Cloud
Storage & compute
Secure local
triggers, actions,
and data sync
Secure device
connectivity
and messaging
AWS
IoT Core
Intelligence
Insights & logic → Action
30. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon QuickSight
Fast, easy to use, serverless analytics integrated with VR
Empower
everyone
Seamless
connectivity
Fast analysis Serverless
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Amazon Sumerian
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How enterprise customers want to use XR
Instructional design
Digital signage
Data visualization
Simulation
Virtual showcases
Virtual tours
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34. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Platform ‘walled gardens’
Engine selection & installation
Managing device plugins
Managing builds per platform
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AWS AI
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Emphasis on accessibility
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39. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Digital Twin for aircraft engine
• Illustrate an artificial intelligence-based
IoT
• 3D printed an aircraft turbine model to
represent a real, large, complex asset
• Particle cloud where aggregation and
analysis is performed
• Immersive experience to visualize real-
time data
• Derive insights about the engine life
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41. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Demo architecture design
AWS IoT
Shadow
Users
AWS
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43. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Try it yourself
• B u i l d e r F a i r : d i g i t a l T w i n - 1 1 / 2 9 / 1 8
T h u r s d a y ( 1 0 a m - 4 p m ) ) a t V E N E T I A N - 2 4
• I n f o s y s B o o t h L e v e l 2 V e n e t i a n
• I o T A n a l y t i c s i n t h e C o n n e c t e d H o m e
• B u i l d a n E n d - T o - E n d I o T E x a m p l e w i t h
A W S I o T C o r e
44. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Saurabh Shrivastava
saursh@amazon.com
Madhuri Susarla
susarlam@amazon.com
Luis Lopez soria
sorialui@amazon.com
Shamala Sadananda
Principal Technical Architect, Infosys
shyamala_s@infosys.com
Pankaj Negi
Principal Consultant, Infosys
Pankaj.negi@infosys.com
45. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.