Digital Twin: An Industry Perspective - PDT Europe · Computing Platform, Sensors, Connectivity Enterprise intelligence & system integration Cognitive services & business intelligence

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


Virtual instance of a customer-unique asset

History Simulation


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


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


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


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)


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


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


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


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


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)


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


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


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


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


Simon Floyd @floydinnovation

HOME PAGE

• https://www.microsoft.com/en-us/microsoftservices/industry/manufacturing.aspx

WHITEPAPER

• https://enterprise.microsoft.com/en-us/trends/microsoft-is-redefining-digital-twins-in-discrete-manufacturing/

BLOG

• http://aka.ms/mfgblog

https://www.microsoft.com/en-us/microsoftservices/industry/manufacturing.aspx

https://enterprise.microsoft.com/en-us/trends/microsoft-is-redefining-digital-twins-in-discrete-manufacturing/

http://aka.ms/mfgblog

Documents

Digital Twin: An Industry Perspective - PDT Europe · Computing Platform, Sensors, Connectivity Enterprise intelligence & system integration Cognitive services & business intelligence