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DATA DRIVEN SYSTEM ENGINEERING FOR THE
FUTURE OF INDUSTRY
Robert Plana
8/10/2018
2
Industrial Infrastructures: A need for a System of System approach
Convergence between hardware and Software & Context awareness (people, city, environment..)
v
PROFITABLE
GROWTH
INCREASE PRODUCTION FOR
MARKET ADVANCEMENT
RISK
MITIGATION
LOWER
OPERATIONS AND
FINANCIAL RISKS
COST
REDUCTION
LOWER OPERATING
COSTS WITH GREATER
EFFICIENCIES
RELIABILITY
INCREASE AVAILABILITY
AND LONGER ASSET LIFE
Physical World Digital WorldSensors
Connectivity
Edge
Computing
CAD/BIM
PLM
Digital
Twin
Operations
& Services
3D Printing
Smart Manufacturing
IoT & Analytics
Virtual Reality
Augmented reality
Cloud
Computing
Integration Platform
The CyberPhysical Systems Engineering driven by Data and Requirements
Safety & Security
Robotics
OPERATIONS &
MAINTENANCE
INSTALLATION
AND
COMMISSIONING
DESIGN &
ENGINEERING
Data driven System Engineering
4
Requirements
Functional
Architecture
Logical
Architecture
Digital Twin
Modelling
System
Integration
Verification
Validation
Operations
Maintenance
Collaborative Platform
Data Integrity
Intelligence Artificielle Artificial Intelligence
Artificial Intelligence
BIM
Analysis Models
3D Scan
From data aggregator to full stack platform
Distributed data aggregator
Integrated
platform
MULTI-D®
Digital twin paradigm will a key enabler
Transfer Function
State variable
False Alarm
Real Alarm
Physics Data IA In Vivo Model
False alarms issues The embedded system concept is
generalized
Digitalize the OPEX
implementation of
human knowledge in the
form of algorithms.
DMBSE

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L'usine du futur sert-elle uniquement à faire des gains de productivité ? par Robert Plana, Assystem

  • 1. DATA DRIVEN SYSTEM ENGINEERING FOR THE FUTURE OF INDUSTRY Robert Plana 8/10/2018
  • 2. 2 Industrial Infrastructures: A need for a System of System approach Convergence between hardware and Software & Context awareness (people, city, environment..) v PROFITABLE GROWTH INCREASE PRODUCTION FOR MARKET ADVANCEMENT RISK MITIGATION LOWER OPERATIONS AND FINANCIAL RISKS COST REDUCTION LOWER OPERATING COSTS WITH GREATER EFFICIENCIES RELIABILITY INCREASE AVAILABILITY AND LONGER ASSET LIFE
  • 3. Physical World Digital WorldSensors Connectivity Edge Computing CAD/BIM PLM Digital Twin Operations & Services 3D Printing Smart Manufacturing IoT & Analytics Virtual Reality Augmented reality Cloud Computing Integration Platform The CyberPhysical Systems Engineering driven by Data and Requirements Safety & Security Robotics OPERATIONS & MAINTENANCE INSTALLATION AND COMMISSIONING DESIGN & ENGINEERING
  • 4. Data driven System Engineering 4 Requirements Functional Architecture Logical Architecture Digital Twin Modelling System Integration Verification Validation Operations Maintenance Collaborative Platform Data Integrity Intelligence Artificielle Artificial Intelligence Artificial Intelligence BIM Analysis Models 3D Scan
  • 5. From data aggregator to full stack platform Distributed data aggregator Integrated platform MULTI-D®
  • 6. Digital twin paradigm will a key enabler Transfer Function State variable False Alarm Real Alarm Physics Data IA In Vivo Model False alarms issues The embedded system concept is generalized Digitalize the OPEX implementation of human knowledge in the form of algorithms.