Next IIoT wave: embedded digital twin for manufacturing
- 1. Milan, Italy 8.11.2018 Next IIoT wave: embedded digital twin for manufacturing by I.R.S
- 3. ni.com Next IIoT wave: embedded digital twin for manufacturing Gianluca Bacchiega - I.R.S. srl www.irsweb.it
- 4. IIoT solutions and trends What’s next. Digital twin. What ? Embedded Digital Twin A twin using model technology 4.0 Conclusion 1 2 3 4 5
- 5. IIoT solutions and trends
- 6. Based on Moor Insights & Strategy's report "Segmenting the Internet of Things (IoT)" SMART Factory Grid Machine City Car INDUSTRIAL Internet of Things SMART Phone Wearable TV Appliances Home CONSUMER Internet of Things Connectivity Data Analytics
- 8. NI’s End-To-End Solution Architecture for IIoT TheEdge Sensors/Actuators IT Infrastructure (Big Data Analytics, Mining) EdgeIT (Local,Remote,Cloud) Corporate/ FederatedIT Data Acquisition, Control, and Analysis Systems (Test,Monitoring,Logging,Control) MeasurementHardwareandFirmware AnalysisandVisualizationSoftware Decision Making and Control Data Aggregation and Management
- 9. NI’s End-to-End Solution Architecture for IIoT
- 10. What’s next? Digital twin. What ?
- 11. “Digital twins are becoming a business imperative, covering the entire lifecycle of an asset or process and forming the foundation for connected products and services. Companies that fail to respond will be left behind.” Thomas Kaiser, SAP Senior Vice President of IoT Ganesh Bell, chief digital officer and general manager of Software & Analytics at GE Power & Water “For every physical asset in the world, we have a virtual copy running in the cloud that gets richer with every second of operational data Digital twin Explosion: billions of twins in next five years
- 12. A digital twin is a real-time digital replica of a physical device.
- 13. ModelSensors A digital twin is a real-time digital replica of a physical device. Sensors digital twin
- 14. A digital twin is a real-time digital replica of a physical device. chiller digital twin chiller It’s more than a model
- 15. A simple digital replica ? History Log the device history Sensors digital twin Future Forecast device future
- 16. A bridge between the physical and digital world Sensors Physical device Data acquisition
- 17. Big data Monitoring Machine Learning & Models A bridge between the physical and digital world
- 18. A bridge between the physical and digital world Big data Digital Twin Monitoring Machine Learning & Models Sensors Physical devices Data acquisition
- 19. A bridge between the physical and digital world with Value and ROI embedded Digital Twin Maintain & log the entire life of an asset Understand using a learning model Warn on health & efficiency Predict Failure and Optimize Enhance add virtual sensors
- 21. Testing in unfeasable conditions Shorter testing time Better accuracy and quality Example of embedded digital twin for product testing
- 24. A platform ready for change
- 25. 1. Lifelong Device history 2. Real time model computed virtual sensor 3. Real Time predictive alert From monitoring to embedded digital twin
- 27. A twin using model technology 4.0
- 28. Model technology 4.0 Physical Model Fluid properties Components Compressor Heat exchangers Fans Phenomena Heat transfer Mass transfer DAQ correction embedded digital twin Machine learning
- 29. Physical Model Physical Model Fluid properties Components Compressor Heat exchangers Fans Phenomena Heat transfer Mass transfer DAQ correction embedded digital twin The phenomenological model, based on equations, can identify the causes of a possible malfunction
- 30. Machine learning The machine learning approach needs no detailed knowledge about machine operation. It needs a learning phase to be able to predict the system performance. Feature extraction Machine learning algorithm Unsupervised data New data Predictive model Supervised data
- 31. Physical Model Fluid properties Components Compressor Heat exchangers Fans Phenomena Heat transfer Mass transfer DAQ correction Sensor Data Physical Model Machine Learning Test system Diagnostic detail and easy implementation
- 32. Merging model technology using NI platform LabVIEW Machine Learning Toolkit embedded digital twin
- 33. ▪ NI CompactRIO testing 4 appliance simultaneously ▪ Sensor optimization ▪ Digital twin for shortening testing time Test systems for fridge testing on 100 % production Test system for fridge : 100 % production
- 34. Conclusions Lower complexity, reduce development time, and add machine learning to your IIoTdevice using NI platform and digital twin technology
- 35. info@irsweb.it Thank you for your attention. any question or inquiry