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2019 punter data voor slimme systemen dvc 17okt-pdf

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Dr. Ir. Teade Punter gave a presentation on using data for smart systems such as mobile robots and sensor networks. Smart systems sense their environment, make autonomous decisions, and control their environment. Examples include traffic control systems, greenhouse sensor grids, and digital factories. Smart systems use and produce data, and there are 5 guidelines for working with data: apply open interfaces to access data, clean and combine data to improve it, predict with data to enhance performance, secure data to protect systems, and apply data to develop new adaptable systems like a digital twin model of a warehouse with AGVs.

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Dr. Ir. Teade Punter Lector High Tech Embedded Software (HTES) Fontys Hogeschool ICT (FHICT) Jaarevent Data Value Center, 17th October 2019 Data for Smart Systems
Lectoraat HTES Software development for smart systems: mobile robots & sensor networks
Iron bridge
Smart Industry / Industrie 4.0
Data? Bill (of materials) Iron Bridge 1779
Smart system Senses its environment, makes decisions (autonomously) to actuate and controls the environment to perform smart actions Examples: Traffic control system Sensor grid in greenhouse Digital factory
Traffic control system OP Zuid Smart Infra project
Sensorgrid Greenhouse RAAK MKB Scout project
Digital factory Brainport Industries Digitale Fabriek project
Data Smart systems use and produce data 5 guidelines Apply open interfaces Clean and combine your data Predict with your data Secure your data Apply your data for system development
1 Apply open interfaces To get your data Sensorstrings with nodes Raak MKB Scout project
2 Clean and combine data To improve your data Indoor positioning with UWB Raak MKB Lets Move IT project
3 Predict with your data Fleetmanager OpenTCS Raak MKB Lets Move IT project To improve system performance
4 Secure your data Ethernet Manager/Coordinator Robot/AGV Command handling Motion control Autonomous safety control Robot/AGV Command handling Motion control Autonomous safety control Hacker Wifi access point Wifi access point Battery load station May gain unauthorized access/control to devices (e.g. network, robot) via the communication paths, but also direct access is possible. Eavesdropping of communication Disturbance of devices (e.g. jamming signal Internaland external communication (Wifi, serial, ethernet, ) Navigation (plant map, location sensor, ) Sensors (proximity, touch,) Actuators (motors, ) Motion control loop (PLC, motion drive, ) Power supply Connected AGVs KIEM Cybersecurity van robots in smart industry project To protect system performance
5 Apply data for development Digital twin: model of warehouse with AGVs Lets Move IT project To develop new/adaptable systems
5 Apply data for development Reality - AGVs Fleetmanager Virtual digital Twin Digital twin: model of warehouse with AGVs Lets Move IT project Data FeedbackFeedback Plan Plan
Summary
Thank you! Acknowledgements: Petra Heck & Gerard Schouten Contact: teade.punter@fontys.nl More info: www.htesfontysict.nl

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2019 punter data voor slimme systemen dvc 17okt-pdf

  • 1. Dr. Ir. Teade Punter Lector High Tech Embedded Software (HTES) Fontys Hogeschool ICT (FHICT) Jaarevent Data Value Center, 17th October 2019 Data for Smart Systems
  • 2. Lectoraat HTES Software development for smart systems: mobile robots & sensor networks
  • 4. Smart Industry / Industrie 4.0
  • 5. Data? Bill (of materials) Iron Bridge 1779
  • 6. Smart system Senses its environment, makes decisions (autonomously) to actuate and controls the environment to perform smart actions Examples: Traffic control system Sensor grid in greenhouse Digital factory
  • 7. Traffic control system OP Zuid Smart Infra project
  • 9. Digital factory Brainport Industries Digitale Fabriek project
  • 10. Data Smart systems use and produce data 5 guidelines Apply open interfaces Clean and combine your data Predict with your data Secure your data Apply your data for system development
  • 11. 1 Apply open interfaces To get your data Sensorstrings with nodes Raak MKB Scout project
  • 12. 2 Clean and combine data To improve your data Indoor positioning with UWB Raak MKB Lets Move IT project
  • 13. 3 Predict with your data Fleetmanager OpenTCS Raak MKB Lets Move IT project To improve system performance
  • 14. 4 Secure your data Ethernet Manager/Coordinator Robot/AGV Command handling Motion control Autonomous safety control Robot/AGV Command handling Motion control Autonomous safety control Hacker Wifi access point Wifi access point Battery load station May gain unauthorized access/control to devices (e.g. network, robot) via the communication paths, but also direct access is possible. Eavesdropping of communication Disturbance of devices (e.g. jamming signal Internaland external communication (Wifi, serial, ethernet, ) Navigation (plant map, location sensor, ) Sensors (proximity, touch,) Actuators (motors, ) Motion control loop (PLC, motion drive, ) Power supply Connected AGVs KIEM Cybersecurity van robots in smart industry project To protect system performance
  • 15. 5 Apply data for development Digital twin: model of warehouse with AGVs Lets Move IT project To develop new/adaptable systems
  • 16. 5 Apply data for development Reality - AGVs Fleetmanager Virtual digital Twin Digital twin: model of warehouse with AGVs Lets Move IT project Data FeedbackFeedback Plan Plan
  • 18. Thank you! Acknowledgements: Petra Heck & Gerard Schouten Contact: teade.punter@fontys.nl More info: www.htesfontysict.nl