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Digital Twin:An Industry Perspective
Simon FloydManaging DirectorManufacturing Industry ArchitectureEnterprise Services
PDT Europe19th October 2017
1. Definition
2. Strategic approach & industry opportunity analysis
3. Architecture: conceptual, system, data
4. Role of AI
5. Summary
© 2017 Microsoft Corporation. All RIghts Reserved 2
Microsoft and the Digital Twin.
1
© 2017 Microsoft Corporation. All RIghts Reserved 4
Virtual instance of a customer-unique asset
History Simulation
© 2017 Microsoft Corporation. All RIghts Reserved 5
Insights into a specific product or entire line
Performance
Optimization
Efficiency
Uptime
Management
Maintenance
Planning
Anomaly
Detection
Incident
Resolution
Model
C
Model
B
Model
A
Cu
sto
mer
A
Location 1 Location 2
Telemetry
Cu
sto
mer
Bn
Pro
du
ct
Mo
del &
Lo
cati
on
by C
ust
om
er
Intelligence Insights Beneficiaries
• Sales
• Marketing
• Design
• Engineering
• Quality
• Support
Physical Equipment Enterprise
Digital Twin As designed
As built
As
maintained
Lifecyle
Maintenance
Downtime Characteristics
Operation
Incidents or
anomaliesPerformance
Interaction
Feature priority Use model
Profile
Operational
parameters
Location
considerations
Customers
Services
© 2017 Microsoft Corporation. All RIghts Reserved 6
DIGITAL TWINSIMULATED
PERFORMANCE
UPDATE DEVICE
Attained
ENERGY EFFICIENCY
25 dB
NOISE LEVEL
Threshold30 dB
Unit A Unit B
300 kwh
596 kwh
Attained
1. Identify device by physical attributes
2. Load the Digital Twin
3. Report performance
4. Simulate new outcome
5. Take action
Example workflow
© 2017 Microsoft Corporation. All RIghts Reserved 7
Strategic approach and industry opportunity analysis.
2
Approach for a Digital Twin StrategyPurpose
• Enterprise capability
• Customer facing
service
• Product feature or
capability
Goal
• Increase margin or
revenue
• Decrease risk or
exposure
• Accelerate innovation
• Improve quality,
reliability or
performance
Readiness
• Organizational change
• Equipment type and
systems
• Business systems
availability
• Data models and
interoperability
• Compliance
Solutions
• People, process and
practices
• Conceptual
architecture
• Roadmap
Visualized
3
Monitored
1
Predictive Interactive
4
Cognitive
5
Solution journey and roadmapIntegrated
© 2017 Microsoft Corporation. All RIghts Reserved 9
Industry traction
70%
12%
6%
6%6%
Industry Segment
Industrial Machinery Consumer Electronics
Marine Oil & Gas Equipment
Aerospace & Defense
24%
29%17%
16%
9%5%
Target Business Benefit
Mitigate Unplanned Downtime
Improve Operational Performance
Optimize Field Service
Conserve Energy
Overall Equipment Effectiveness
Supply Chain Optimization
Application
Product System Process
Market Segment
Consumer Industrial
Process Integration
Design (CAD)
Simulation (CAE)
Supply Chain (SCM)
Manufacturing (CAM)
Manufacturing (MES)
Field Service (CRM)
© 2017 Microsoft Corporation. All RIghts Reserved 10
Readiness
Maintained
Built
Designed
Mixed Reality Interactivity
Design Visualization (3D, 2D)
Graphical Display
Interactivity
Cognitive (Vision, Speech, …)
Predictions
Diagnostics
Alerts
Analytics
Reporting
Historical Data
Time Series Data
Telemetry Data
Device Connectivity (IoT)
Readiness index for Digital Twin
Case Study References
© 2017 Microsoft Corporation. All RIghts Reserved 11
Key uses for Digital Twin
Develop new business models
by providing insights into how
products and services are used
Increase manageability,
flexibility and reliability,
efficiency
Predictive, condition based
asset maintenance
Repair equipment and plan for
it’s services
Predict equipment failure
Increase operational efficiency
Plan manufacturing processes
Operate factories
Perform enhanced product
development
Improve customer experience
Energy and Utilities
Defense and aerospace
Healthcare
Discrete Manufacturing
Industries Low value assets High value assets
© 2017 Microsoft Corporation. All RIghts Reserved 12
Industrial or commercial equipment
High complexity, configurability and supply chain variability
Maintenance, repair and overhaul requirement
Remote operation (not in-house)
Mission critical: tied to business performance
© 2017 Microsoft Corporation. All RIghts Reserved 13
Architecture: conceptual, system, data.
3
Digital Twin Solution Architecture
Joinable with
other devices
Connected services,
data and capabilities
Computing Platform,
Sensors, Connectivity
Enterprise intelligence &
system integration
Cognitive services &
business intelligence
Engineering, simulation &
visualization platform
Customer unique
Fleet aware
Digital thread
Cloud
connected
SMART CONNECTED PRODUCT DIGITAL TWIN PLATFORM
Tailored services
Real-time
Design and innovation
insights, actions
Integrated customer
support and field service
Manufacturing, supply
chain and quality
performance
DIGITAL TWIN SERVICES
Cloud
connected
© 2017 Microsoft Corporation. All RIghts Reserved 15
Digital Twin System Architecture
Resource
constrained
devices
Existing IoT
devices
IoT Client
OPC-UA
Field Gateway
Data Path
Optional solution component
Microsoft IoT solution component
IoT Client
Device Connectivity
IP capable
devices
IoT Client
Solution UXStream Processing and Analytics
Business
Integration
Connectors and
Gateway(s)
Cloud
Gateway
Business Connectivity, Presentation & InteractionData Processing, Compute,
Analytics and Management
Application Business Logic
Device Provisioning and Management
Simulation & Visualization ComputeSimulation & Visualization Compute
Vision, Speech, Language & Knowledge
Mixed Reality Mobility Productivity
Microsoft cognitive services
Big compute services
Line of business applications
Computer Aided Design,
Engineering & Visualization
Product Lifecycle & Data Management
Supply Chain Management
Manufacturing Execution
Software
Development
3D Printing
Customer
Service
Field Service Analytics
Microsoft cloud application
Common
Data
Services
ISO 10303-
239 (PLCS)
© 2017 Microsoft Corporation. All RIghts Reserved 16
PLCS and the Digital Twin
Product Life Cycle Support
(PLCS) ISO 10303-239
• Structured data for data analytics
• Information as a service
• Cross enterprise interoperability
• Information-centric, agnostic
When combined with device
data:
• An explicit representation of the
“Thing”
• Observations on the “Things”
• Location, activity, states,
properties,
• Known configuration status of
the “Thing”
• Histories
Operation and
Maintenance ViewFunctional View Systems View Product View
Function
Sub-
system
Functions
Functional
System
Sub-assembly
Product structure
Module
Product
System
Product
Assembly
Requirements
Systems
Sub-
system
Sub-system
System
Component
System
Stakeholder
requirements
Functional
requirements
System
requirements
Product
requirements
Product
Operation and
Maintenance
requirements
Product
Individual
Product individual structure
Sub-
module
Module
Operational
System
Single view of product lifecycle
© 2017 Microsoft Corporation. All RIghts Reserved 17
Role of Artificial Intelligence.
4
Inte
llig
en
t Ed
ge
1. Unique (condition based) recommendations
2. Autonomous task execution, self healing or preservation
3. Learning and behaviors; task modification
4. Human interaction; question/answer/action (speech, text)
5. Vision; face recognition & emotion
Supply
Chain
Engineering/
R&D
Sales and
Marketing
Customer
Services
Manufacturi
ng Floor
Telemetry
History
Simulation
Cognitive
Predictive
Analytics
Digital Twin
Physical AssetEnvironment
Use
Service
© 2017 Microsoft Corporation. All RIghts Reserved 19
Summary5
Unlock benefits across the entire business
Supply
Chain
Engineering/
R&D
Sales and
Marketing
Customer
Services
Manufacturing
Floor
Provide engineers unprecedented insight
Optimize manufacturing floor processes
Improve supplier accountability and product quality
Equip sales and marketing teams with advanced insights
Optimize efficiency, availability and service
© 2017 Microsoft Corporation. All RIghts Reserved 21
Microsoft can help develop your Digital Twin strategy, business model and solution
Microsoft offerings for the Digital Twin
Software and hardware capabilities
Azure Azure IoT Suite Azure Machine Learning
High Performance Computing HoloLens
Cortana Intelligent Suite Azure Blockchain Trusted Cloud
Preconfigured solutions
Remote Monitoring Predictive
Maintenance Connected Field Service
Connected Factory
Most comprehensive
portfolio
Extensive IoT partner
ecosystem
Industry-leading
security
Scalable cloud
solutions
Open
platform
© 2017 Microsoft Corporation. All RIghts Reserved 22
Simon Floyd @floydinnovation
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• https://www.microsoft.com/en-us/microsoftservices/industry/manufacturing.aspx
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