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High-Velocity, Real-Time Connected Industry – From Edge to Cloud
This document discusses connecting industry in real-time from the edge to the cloud. It presents examples of integrating sensors, machines, gateways, analytics and cloud systems using a hybrid IoT event mesh to support different speed scenarios from closed-loop control to cloud and HQ integration. Challenges around integrating systems locally, across factories and multiple clouds in real-time are addressed. The document provides examples of quality management integration with SAP QM and a connected race-track demo combining real-time control, analytics and crash detection. A combined strategy for digital twins using simulation and data-driven approaches is also presented.
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High-Velocity, Real-Time Connected Industry – From Edge to Cloud
- 1. High-Velocity, Real-time ConnectedIndustry - from Edge to Cloud - Ricardo Gomez-Ulmke, VP IoT, Solace Álvaro Pérez Bello, IoT Product Manager, Altair
- 2. High-Velocity, Real-time ConnectedIndustry 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 ConnectedIndustry 3 © Solace Proprietary & Confidential Management Agents Device Management Gateway Management Model Development & Training
- 4. Support for DifferentSpeed Scenarios 4 © Solace Proprietary & Confidential Closed-Loop, Real-Time Control Local Integration Cloud & HQ Integration
- 5. This is anintegration 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 EventMesh 6 © Solace Proprietary & Confidential Hybrid IoT Event Mesh
- 7. Hybrid IoT EventMesh 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 withSAP 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 Controlwith 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
- 13.
- 14. A Combined Strategyfor 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) Devicemodeling (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 KnowledgeWorksas a Digital Twin Suite 16 © Solace Proprietary & Confidential
- 17. The Race-Track Demo 17 ©Solace Proprietary & Confidential
- 18. Conclusions • Complex technologyenvironment • Real time integration • Best of breed solutions 18 © Solace Proprietary & Confidential
- 19. Thank you! Visit usat: Solace booth #34 Ricardo Gomez-Ulmke, ricardo.gomez-ulmke@solace.com Álvaro Pérez Bello, abello@altair.com
Editor's Notes
- #15 Very brief 30 sec – 1min Remaining useful life Root-cause analysis Model Recalibration Optimized settings Maintenance recommendations
- #19 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