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High-Velocity, Real-time Connected Industry
- from Edge to Cloud -
Ricardo Gomez-Ulmke, VP IoT, Solace
Álvaro Pérez Bello, IoT Product Manager, Altair
High-Velocity, Real-time Connected Industry
2
© Solace
Proprietary & Confidential
Sensors
Actuators
Connected
Machines
Industrial
Gateways
Sensor&Actuator
Interfaces
Real-time &
Embedded
Edge Analytics
Algorithms & Neural
Networks
Local IT
Manufacturing
Quality
Management
Dashboards
Cloud Systems
Digital Twins
Workforce
Management
Dashboards
High-Velocity, Real-time Connected Industry
3
© Solace
Proprietary & Confidential
Management Agents Device Management Gateway Management
Model Development &
Training
Support for Different Speed Scenarios
4
© Solace
Proprietary & Confidential
Closed-Loop,
Real-Time
Control
Local
Integration
Cloud & HQ
Integration
This is an integration challenge
5
© Solace
Proprietary & Confidential
Management Agents Device Management Gateway Management
Model Development &
Training
How do I integrate all of this?
Local, across factories, multiple clouds?
Real-time @ low- & internet-latency?
Hybrid IoT Event Mesh
6
© Solace
Proprietary & Confidential
Hybrid IoT Event Mesh
Hybrid IoT Event Mesh
The Technology Map – Best-of-Breed Eco-System
Management Agents Device Management Gateway Management
Model Development &
Training
Example Scenario
8
© Solace
Proprietary & Confidential
”start production
of widget A”
1
“load widget A
models” 2
Closed-Loop,
Real-Time
Control
3
“issues, alarms”
“raw data”
4
Quality Management with SAP QM
9
© Solace
Proprietary & Confidential
Real-Time
Analytics
Quality
Issue
Detection
potential
quality issue:
- widget 234
- machine
24A
- hall 4
Quality Issue Management
QM Event
production
John
The Connected Race-Track
10
© Solace
Proprietary & Confidential
Closed-Loop, Real-Time Control with Embedded Analytics
11
© Solace
Proprietary & Confidential
Track
Control Unit
Bosch
XDK110
gyro X,Y,Z
position,
throttle level,
start/stop
Real-Time
Analytics
Model
mgr.
Model
executio
n
Calculate:
- on-straight
- in-bend
Predict:
- crash likely
Outcome:
- throttle up/down
throttle
control
Crash Detection & Prediction
12
© Solace
Proprietary & Confidential
Scale and
condition
data
Crash
detection
Crash risk
index
Crash Alert
Crash Risk Alert
Telchemy Embiot
∫LK
Comparison of Yaw value
with leaky integrated Yaw
yaw = gyroZ * gyro_scale
k = leakyint(yaw, 0.95) * yaw
d = if( k < -50, 100, 0 )
Higher frequency of d = 100 indicates
greater risk of crash
Real-Time Crash Risk Index
Welcome
Alvaro Perez Bello, Altair
A Combined Strategy for Digital Twins
14
© Solace
Proprietary & Confidential
Simulation driven Digital Twin
Data driven Digital Twin
01010100101010101010101010100101
01001010101010101010101001010100
101010101010101010100101010010101
101010101010100101010010101010101x
01010100101010101010101010100101
01001010101010101010101001010100
101010101010101010100101010010101
101010101010100101010010101010101x
Asset simulation Asset operationFull digital twin
Digita
l Twin
Visualization
(track use case)
Device modeling
(track use case)
ML
(track use case)
Data driven Digital Twin
Data
model
Data
origin
Data
model
Icon made by Becris from www.flaticon.com
Icons made by Eucalyp from
SmartWorks and KnowledgeWorks as a Digital Twin
Suite
16
© Solace
Proprietary & Confidential
The Race-Track Demo
17
© Solace
Proprietary & Confidential
Conclusions
• Complex technology environment
• Real time integration
• Best of breed solutions
18
© Solace
Proprietary & Confidential
Thank you!
Visit us at:
Solace booth #34
Ricardo Gomez-Ulmke, ricardo.gomez-ulmke@solace.com
Álvaro Pérez Bello, abello@altair.com

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High-Velocity, Real-Time Connected Industry – From Edge to Cloud

  • 1. High-Velocity, Real-time Connected Industry - from Edge to Cloud - Ricardo Gomez-Ulmke, VP IoT, Solace Álvaro Pérez Bello, IoT Product Manager, Altair
  • 2. High-Velocity, Real-time Connected Industry 2 © Solace Proprietary & Confidential Sensors Actuators Connected Machines Industrial Gateways Sensor&Actuator Interfaces Real-time & Embedded Edge Analytics Algorithms & Neural Networks Local IT Manufacturing Quality Management Dashboards Cloud Systems Digital Twins Workforce Management Dashboards
  • 3. High-Velocity, Real-time Connected Industry 3 © Solace Proprietary & Confidential Management Agents Device Management Gateway Management Model Development & Training
  • 4. Support for Different Speed Scenarios 4 © Solace Proprietary & Confidential Closed-Loop, Real-Time Control Local Integration Cloud & HQ Integration
  • 5. This is an integration challenge 5 © Solace Proprietary & Confidential Management Agents Device Management Gateway Management Model Development & Training How do I integrate all of this? Local, across factories, multiple clouds? Real-time @ low- & internet-latency?
  • 6. Hybrid IoT Event Mesh 6 © Solace Proprietary & Confidential Hybrid IoT Event Mesh
  • 7. Hybrid IoT Event Mesh The Technology Map – Best-of-Breed Eco-System Management Agents Device Management Gateway Management Model Development & Training
  • 8. Example Scenario 8 © Solace Proprietary & Confidential ”start production of widget A” 1 “load widget A models” 2 Closed-Loop, Real-Time Control 3 “issues, alarms” “raw data” 4
  • 9. Quality Management with SAP QM 9 © Solace Proprietary & Confidential Real-Time Analytics Quality Issue Detection potential quality issue: - widget 234 - machine 24A - hall 4 Quality Issue Management QM Event production John
  • 10. The Connected Race-Track 10 © Solace Proprietary & Confidential
  • 11. Closed-Loop, Real-Time Control with Embedded Analytics 11 © Solace Proprietary & Confidential Track Control Unit Bosch XDK110 gyro X,Y,Z position, throttle level, start/stop Real-Time Analytics Model mgr. Model executio n Calculate: - on-straight - in-bend Predict: - crash likely Outcome: - throttle up/down throttle control
  • 12. Crash Detection & Prediction 12 © Solace Proprietary & Confidential Scale and condition data Crash detection Crash risk index Crash Alert Crash Risk Alert Telchemy Embiot ∫LK Comparison of Yaw value with leaky integrated Yaw yaw = gyroZ * gyro_scale k = leakyint(yaw, 0.95) * yaw d = if( k < -50, 100, 0 ) Higher frequency of d = 100 indicates greater risk of crash Real-Time Crash Risk Index
  • 14. A Combined Strategy for Digital Twins 14 © Solace Proprietary & Confidential Simulation driven Digital Twin Data driven Digital Twin 01010100101010101010101010100101 01001010101010101010101001010100 101010101010101010100101010010101 101010101010100101010010101010101x 01010100101010101010101010100101 01001010101010101010101001010100 101010101010101010100101010010101 101010101010100101010010101010101x Asset simulation Asset operationFull digital twin Digita l Twin
  • 15. Visualization (track use case) Device modeling (track use case) ML (track use case) Data driven Digital Twin Data model Data origin Data model Icon made by Becris from www.flaticon.com Icons made by Eucalyp from
  • 16. SmartWorks and KnowledgeWorks as a Digital Twin Suite 16 © Solace Proprietary & Confidential
  • 17. The Race-Track Demo 17 © Solace Proprietary & Confidential
  • 18. Conclusions • Complex technology environment • Real time integration • Best of breed solutions 18 © Solace Proprietary & Confidential
  • 19. Thank you! Visit us at: Solace booth #34 Ricardo Gomez-Ulmke, ricardo.gomez-ulmke@solace.com Álvaro Pérez Bello, abello@altair.com

Editor's Notes

  1. Very brief 30 sec – 1min Remaining useful life Root-cause analysis Model Recalibration Optimized settings Maintenance recommendations
  2. Complex technology environment Integrating everything under one coherent platform Real time integration Close loop control real time and low latency Cloud real time Complex scenarios Best of breed solutions Provide the best of different solutions Aggregate know how