Industrial Automation and IoT

1. Industrial
Automation
and
IoT
R. Hendriks

2. 2
Who am I?
Ron Hendriks
IoT Consultant
IoT Enthusiast
Linkedin: https://www.linkedin.com/in/ron-hendriks-8a03a87
Email: ron.hendriks@amis.nl
Phone: +31 (0)6 54226950
nlOUG Tech Experience 2018: People Counter

3. Components
Titel van de presentatie 3

4. Tooling
Titel van de presentatie 4

5. Typical hardware architecture
Titel van de presentatie 5

6. Automation Levels
Titel van de presentatie 6

7. Protocols
Titel van de presentatie 7

8. Typical process
Titel van de presentatie 8

9. ISA 88
Standard (philosophy) for Batch Control
Titel van de presentatie 9

10. ISA 95
Standard for integration of control systems in Enterprises
Titel van de presentatie 10

11. Automation Levels
Titel van de presentatie 11

12. OEE
Overall Equipment Effectiveness
- Loading
- Availability
- Performance
- Quality
(Availability= 86.6%)*(Performance=93%)*(Quality=91.3%)= (OEE=73.6%)
Titel van de presentatie 12

13. Challenges for IoT in Industrial Automation
• Lifecycle (>15 years)
• Robust, highly available
• Well supported
• Closed
• Diversity
• Incremental changes
• Small budgets
• High data intensity
• Security
• IoT trackrecord (“we don’t want our competitor to know”)
• USP IoT (“we already have that”)
• Maintenance staff
Titel van de presentatie 13

14. Recent developements (opportunities)
Introduction of more IT
Titel van de presentatie 14

15. Open communication protocols
Open Platform Communications Unified Architecture (OPC UA)
• Open standard (https://github.com/OPCFoundation/UA-.NETStandard)
• No more DCOM!! (OPC DA/AE wel)
• HTTP/HTTPS
• User administration
• Platform independent
• Extendable
• Subscriptions, events, methods
Titel van de presentatie 15

16. Near future
Titel van de presentatie 16

17. PID controller
Titel van de presentatie 17

18. PID controller result
Titel van de presentatie 18

19. Machine learning for optimization
Titel van de presentatie 19

20. Machine learning for process prediction
Titel van de presentatie 20

21. Machine learning for maintenance prediction
Titel van de presentatie 21

22. Future transition
Titel van de presentatie 22