from virtual prototype to digital twin · 2020. 8. 6. · 13 analytic models used during - analysis...

Examples from the Smart Lighting domain

Jacques VerrietApril 9, 2019

FROM VIRTUAL PROTOTYPETO DIGITAL TWIN

2

Analytic models used during

- Analysis and design ➔ Virtual prototype

- Realization, testing, deployment, operation ➔ Digital twin

- Operation (vision) ➔ Adaptive system

OUTLINE

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Analysis

Design

RealizationV&V / Testing

Deployment

Operation

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OUTLINE


Analysis

Design


Deployment

Operation

4

VIRTUAL PROTOTYPE

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Analyze &Optimize

Informalsystem

requirements

Virtualprototype

Formalize

Physicalsystem

Develop

5

• Witte Dame building

- Landmark historical building

- Former lighting factory

• Smart lighting system

- Complete 5th floor

- 367 light points

- More than 1,300 behaviors

SMART LIGHTING CASE


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WITTE DAME FLOOR PLAN


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8



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VIRTUAL PROTOTYPE: INTERACTIVE SIMULATION


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• Challenge- 1000’s of components (sensors, buttons,

light points, …)

- 1000’s of interdependent controllers(occupancy, daylight harvesting, …)

• But, few types of components and controllers

DESIGN SPACE EXPLORATION


Analyze &Optimize

Virtualprototype

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DOMAIN MODEL FOR DISTRIBUTION CONTROL APPLICATIONS


Control

Experiment

Requirement

Domain DSLs Validation DSLsSystem DSLs

Topology Scenario

Event

Structure

Behavior

Modify

Generate

Modify

Virtualprototype

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• Executable virtual prototypes are used to optimize system behavior in early development phases

• Domain models can be used to handle system variability

• Design space exploration is used to find a suitable system configuration

VIRTUAL PROTOTYPE SUMMARY


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OUTLINE


Analysis

Design


Deployment

Operation

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OUTLINE


Analysis

Design


Deployment

Operation

15

DIGITAL TWIN

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Monitor

Modify

Analyze &Optimize

Digital Thread

Physicalsystem

Digitaltwin

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• Witte Dame building

- Landmark historical building

- Former lighting factory

• Smart lighting system

- Complete 5th floor

- 367 light points

- More than 1,300 behaviors

SMART LIGHTING CASE


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• Challenge

- 1000’s of components (sensors, buttons, light points, …)

- 1000’s of interdependent controllers (occupancy, daylight harvesting, …)

• Humanly impossible to keep overview of the system behavior

• Automated monitoring required

- Reuse of virtual prototype model as digital twin

SMART LIGHTING SYSTEMS


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FROM VIRTUAL PROTOTYPE TO DIGITAL TWIN


Monitor

Modify

Analyze &Optimize

Digital Thread

Virtualprototype

Digitaltwin

Input (sensor) eventsOutput (light point) events

Physicalsystem

Differences

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ROOT CAUSE ANALYSIS FOR SMART LIGHTING


Collect Detect Analyze Resolve

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ROOT CAUSE ANALYSIS FOR SMART LIGHTING


Digital twin

Physical system

Comparator

System monitor

Rule-based diagnostics

Collect Detect Analyze Resolve

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ANOMALY DETECTION


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DIAGNOSTICS: RULE 1


1 Correctness of digital twin behavior

Is a sensor in the group reporting occupancy?

2 3 Is the digital twin behaving correctly?

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DIAGNOSTICS: RULE 2


2 Group problem Do other light points in the same group behave identically?

4 5 Is it an individual or group problem?

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DIAGNOSTICS: RULE 3


4 Commissioning error Have all behaviors of group 2002 been commissioned?

5 Commissioning error

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• An executable virtual prototype specifies the desired system behavior

• The virtual prototype can be coupled to the physical system to become a digital twin

• The digital twin can be used to detect and analyze differences between specification and realization

• After analyzing the difference, one needs to modify the physical system and/or the digital twin

DIGITAL TWIN SUMMARY


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OUTLINE


Analysis

Design


Deployment

Operation

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OUTLINE


Analysis

Design


Deployment

Operation

28

Adaptive system

ADAPTIVE SYSTEMS

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Monitor

Modify

Analyze &Optimize

Digital Thread

Physicalsystem

Digitaltwin

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SMART LIGHTING ADAPTATION EXAMPLE


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• Detect

- Lights switch on shortly after they have switched off

• Analyze

- Occupancy sensor is not sensitive enough to detect all occupancy

- Occupancy sensor is not operating at maximum sensitivity

• Resolve

- Increase sensor sensitivity to detect smaller motions

ADAPTIVE LIGHTING CONTROLLER: SCENARIO 1


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• Detect

- Lights switch on shortly after they have switched off

• Analyze

- Occupancy sensor is not sensitive enough to detect all occupancy

- Occupancy sensor is operating at maximum sensitivity

• Resolve

- Increase time between last occupancy and switching off

- Issue service call to replace/move/add occupancy sensor

ADAPTIVE LIGHTING CONTROLLER: SCENARIO 2


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• Analysis based on digital twins is currently done manually

• Integration of the digital twin in the physical system gives a self-aware system

• Self-aware systems may adapt themselves or initiate service actions

ADAPTIVE SYSTEMS SUMMARY


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OUTLINE


Analysis

Design


Deployment

Operation

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• Executable virtual prototypes can be used to formalize system behavior specifications

• These virtual prototypes can become digital twins,which are used e.g. to detect and diagnose anomalous system behavior

• By incorporating the digital twins in the system,the system become self-aware or even self-adapting

For more information, visit our diagnostics booth on the demo market

TAKEAWAYS


from virtual prototype to digital twin · 2020. 8. 6. · 13 analytic models used during - analysis...

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