AI AND ROBOTICS TO ASSIST WITH DIGITAL TRANSFORMATION

1. AI AND ROBOTICS TO ASSIST WITH DIGITAL TRANSFORMATION JOULEHUB – Alessandro Graps – Stefano Tempesta

2. © JOULEHUB GmbH – info@joulehub.com AGENDA • 2020 – CHANGE THE WORLD • WHAT HAPPENED? • WHY? • WILL IT HAPPEN AGAIN? • CAN WE PREVENT IT? ARE WE READY? • AI & ROBOTICS USE CASES • Q&A

3. © JOULEHUB GmbH – info@joulehub.com PRESENTERS • CEO • Email: a.graps@joulehub.com • LinkedIn: https://www.linkedin.com/in/aless andrograps Alessandro Graps • CTO & Partner Australia • Email: s.tempesta@joulehub.com • LinkedIn: https://www.linkedin.com/in/stefa notempesta/ Stefano Tempesta

4. © JOULEHUB GmbH – info@joulehub.com Facts and Figures  Microsoft Dynamics since 2004  Robotics and Electronics projects  Automotive, Packaging, Avio, Energy markets  Electronics equipment mass production  Switzerland: Luzern (Headquarters)  Italy: Bologna - Taranto  Australia: Melbourne Company Locations Core Business  Digital Transformation 4.0  Integrators  Electronics  Robotics  Mechatronics  R&D

5. © JOULEHUB GmbH – info@joulehub.com 2020 – CHANGE THE WORLD: COVID-19

6. © JOULEHUB GmbH – info@joulehub.com 2020 – CHANGE THE WORLD: AUSTRALIA

7. © JOULEHUB GmbH – info@joulehub.com WHAT HAPPENED? LOCKDOWN

8. © JOULEHUB GmbH – info@joulehub.com WHAT HAPPENED? STOP PRODUCTION PROCESSES

9. © JOULEHUB GmbH – info@joulehub.com WHAT HAPPENED? BUSINESSES CLOSED

10. © JOULEHUB GmbH – info@joulehub.com WHY? • NOT READY FOR CHANGE • DIGITAL TRANSFORMATION NOT HAPPENED • BUSINESS NOT READY FOR TRANSFORMATION • RISK NOT CALCULATED

11. © JOULEHUB GmbH – info@joulehub.com WILL IT HAPPEN AGAIN?

12. © JOULEHUB GmbH – info@joulehub.com CAN WE PREVENT IT? ARE WE READY?

13. © JOULEHUB GmbH – info@joulehub.com HOW CAN WE PREVENT? • ROBOTICS • SMART TECHNOLOGIES • DIGITAL TRANSFORMATION • PREDICTIVE MAINTENANCE • REMOTE ASSISTANCE • SMART GLASSES • AI • AR

14. © JOULEHUB GmbH – info@joulehub.com JOULEHUB USE CASES

15. © JOULEHUB GmbH – info@joulehub.com CASE 1: PREDICTIVE MAINTENANCE LOCKDOWN IN THE COMPANY • MACHINES WORK 24/7 • REMOTE MONITORING AND SELF CALIBRATION • PRODUCTION PERFORMANCE IS ALWAYS AUTO-TUNED TO OPTIMAL

16. © JOULEHUB GmbH – info@joulehub.com PREDICTIVE MAINTENANCE • MONITORING EQUIPMENT TO AVOID FUTURE FAILURE • SCHEDULE MAINTENANCE WHEN NEEDED • IDENTIFY THE ROOT CAUSE OF ISSUES • HOW? • PREDICTIVE MODEL AND SENSOR DATA • DEPLOYNG TO THE EQUIPMENT AND CLOUD

17. © JOULEHUB GmbH – info@joulehub.com WHY PREDICTIVE MAINTENANCE? LOWER MAINTENANCE COSTS EXTENDEND EQUIPMENT LIFE REDUCE DOWNTIME IMPROVED PRODUCTION LOWER RISK EXPOSURE RECOVER LOST REVENUE

18. © JOULEHUB GmbH – info@joulehub.com PROBLEMS TO SOLVE Interaction with machines Long troubleshooting times High travel costs Distant or inaccessible places Information requirements in real time 100% efficiency at all times Machinery stopped due to problems or controls Active processes 24H Efficient maintenance High maintenance costs

19. © JOULEHUB GmbH – info@joulehub.com PROBLEMS TO SOLVE Remote after-sales support Direct interaction with machines Active communication with machines Proactive controls Machines that configure themselves Increased efficiency Ad-hoc support only when needed and programmed

20. © JOULEHUB GmbH – info@joulehub.com Technicians Operations IoT Devices PREDICTIVE SERVICE «JUST IN TIME» PiJuice

21. © JOULEHUB GmbH – info@joulehub.com INDUSTRIAL REVOLUTION MEETS DIGITAL TRANSFORMATION

22. © JOULEHUB GmbH – info@joulehub.com Connected service Anomaly detection with IoT Predictive maintenance Creation of work orders

23. © JOULEHUB GmbH – info@joulehub.com CASE 2: REMOTE ASSISTANCE LOCKDOWN IN THE COMPANY • Employees can work remotely to control machines • AR to simulate a virtual dashboard

24. © JOULEHUB GmbH – info@joulehub.com

31. © JOULEHUB GmbH – info@joulehub.com CASE 5: DRONE LOCKDOWN IN THE WORLD • Autopiloted drones • Monitor places and conditions • Prevent and react to disasters

33. © JOULEHUB GmbH – info@joulehub.com PREDICTION OF FIRES • Implemented Rothermel’s model for the prediction of fire and the fire spread. • Various input parameters – temperature, pressure, slope, fuel moisture considered. • Prediction of rate of spread of fire, intensity of fires, flame length, the direction of spread is calculated.

41. © JOULEHUB GmbH – info@joulehub.com JOULEHUB info@joulehub.com https://www.joulehub.com SWITZERLAND Schädrütihalde 16 – 6006 Luzern ITALY via Mori 6 40054 Budrio - Bologna via Dante 205 74121 Taranto AUSTRALIA Suite 10, 3 Albert Coates Lane Melbourne, VIC 3000

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