Industry4.0 IoT Vincent Thavonekham - Azure Day Ukraine

1. Why Azure Cloud fits with OPC UA, IoT Edge
technologies and Data Science ?
Vincent Thavonekham
V1.1

2. Russian
English
Шановний пані та панове, дякую
Shanovnyy pani ta panove, dyakuyu (Dear ladies and gentleman, thank you)
Привет
Privet
Dear ladies and gentleman, thank you (for joining us)

3. I’m a very dynamic Azure Practice Manager, RD, MVP @VISEO
Enjoy sharing the knowledge and ideas to the Cloud Community
3
www.thavo.com
@vThavo
2013-2015 : Microsoft vTSP Azure
2015: Microsoft p-Seller Azure + ALM TFS + Data
2015: WPC awarded Top 5 best pSeller partner France
2015,16,17,18: Azure MVP Award
2017/18: Microsoft Regional Director
CERTIFICATIONS / DEGREES:
Microsoft Certified Professional
ITIL v3, PRINCE2, ScrumMaster, BEng Honors,
MSc. & PgD IT in Intelligent Systems (distinction & 1st rank)
Author & co-author : DevOps & Azure
(France & international www.aka.ms/aiplaybook)
- Published book, white paper and magazine articles
- Round Table panel on live streaming
(for Electric Cloud, with Gene Kim, The Phoenix project)
MVP Community in Seattle !

4.  Introduction: Real Cases
4

5. IoT and AI optimizer
➢ Solar  Energy
CASE 1: IoT and Energy optimization
HOMEDEVICES
PLCOPTIMIZER
On
Off
On
Off
On
Off
SENSORS
➢ More apparatus
& IoT sensors ?
➢ Hard to add more
vendors to the poor
PLC !

6. Prior to Industry 4.0
➢ Robust protocols
➢ Very Complex
➢ No real-time BI
Source https://dzone.com/articles/learning-about-opc-the-interoperability-standard-f
CASE 2: Manufacturing Industry 4.0 (1/3)

7. Moving from action to insights
Reduced development time and cost by 80%
by gathering and analyzing data more
efficiently and increasing automation across the
company.
Click to learn more
Building efficiency with IoT
Connected chillers are back online 9x faster
than unconnected equipment, avoiding more
than $300,000 in hourly downtime costs
Click to learn more
Filtering the signal from
the noise
Used analytics to discover actionable insights
around fuel usage, predictive maintenance and
stop unscheduled delays.
Click to learn more
CASE 2: Manufacturing Industry 4.0 (2/3)

8. Transforming the urban
landscape
Gathered data from sensors and systems to
create valuable business intelligence and shift
from reactive to proactive maintenance.
Click to learn more
Empowering global operations
Collected data from 40,000 sensors around the
world to create a best-in-class forecast that
helps customers make critical operational
decisions.
Click to learn more
Improving equipment to
weather the storm
Gained visibility into equipment usage and a
path to predictive maintenance using machine
learning.
CASE 2: Manufacturing Industry 4.0 (3/3)

9. Introduction: Real Cases
9

10. CC0 License
Many providers = Multiple protocols

11. EU single market : “UK wants to take
back control, and adopt its own
standards & regulations”
• But… UK also wants those standards be
recognized automatically by EU
• European Commission’s answer (Aug 31st) :
 « This is simply impossible! » You cannot
be outside the legal market and shape its legal
order.
Photograph: Alamy Stock Photo
Source: https://twitter.com/EU_Commission/status/903219019104346112

12. Photograph: Alamy Stock Photo

13. Source: Devil's Advocate Group + Chunka Mui 2016
Standards are painful !?
In 2016 :
Innovation in 6 words
➢ Think Big
➢Start Small
➢ Learn Fast

14. ➢ Think Big,
➢ Act small,
➢ Fail fast;
➢ Learn rapidly

15. OPC UA PubSub roadmap
• Microsoft is at the origin
(but not anymore)
• with COM/DCOM
• OPC = OLE for Process
Control
• UA = Universal Architecture
• https://opcfoundation.org/about/opc-
foundation/history/
- Independent and international standard
 IEC 62541 specification
- 10,000 OPC products available in the marketplace
Think big … and global !

16. Clemens Vaster

17. ➢ More OPC UA, with Pub/Sub
➢TSN : Time Sensitive Network
(set of standards under devt IEEE 802.1
for Ethernet + deterministic real-time bus)
➢PLC + TSN + OPC + Robot moves

18. ➢ Not only a protocol,
➢ Documented Models (security, …),
➢ Document on Ubiquitous language : All team
members speaks the same language with
standardized definition and abbreviations (for
stakeholder, dev, production, support…).
➢Ex. “Complex Data” and “Alarm” and UADP  Else
frustration and waste of time
➢…

19. ➢OPC Foundation’s President Thomas J. Burke said
➢Stefan Hoppe, OPC Foundation’s Vice President said
➢Microsoft has invested considerably in IoT

20. ➢No !
➢Facts : Schneider Electric, Microsoft, General
Electric, ABB, Fuji, Bayer, CERN, DELL, IBM, (and over
400 ones) …

21. Introduction: Real Cases
21

22. At the 2014 Hannover Fair trade show, Siemens already offered a preview of the future of the industries.
What is industry 4.0 ?

23. ➢Yes, but …
What is industry 4.0 ?

24. ERP SAP,
CRM,
Salesforce…
IoT &
Advanced
Robotic
Simu-
lation
Cyber-
Sécurité
SmartData
/ Analytics
“Open”
Cloud
VR / AR, giant
screens, 3D
Printers…
What is industry 4.0 ?
24
Bot, Cognitive Services,
PLC, Devices,
protocols, …
Data Scientists,
Agile BI, Near-real
Time analysis…
Integration at the
heart of the IT
IT architecture,
performance, cost,
Public/Private, …
Audit / Certifications
Forensic-ready design
Datalineage
Cyberassurance
©2017.9VISEOVTH:Industry4.0
➢Cyber physical system ?
ERP = Enterprise Resource Planning

25. Connected Field Services = Reliable & Fast
Problems ? … Centralized data = Big Brother is watching you !
CABLE DRUMS

26. ERP (Enterprise Resource Planning) = Reliable & Fast
Problems ? … Centralized data = Big Brother is watching you !
Source : IoT City Tour 2015 © Stefan Hoppe Vice President OPC Foundation
Manufacturing Execution System

27. Industry 4.0 killing human jobs ?
Yes and No on the overall ! More decentralized sites, commerce, indirect jobs…
“As Adidas announces a new
robot shoe factory, an ILO
report says up to 90% of
workers in south-east Asia
could face unemployment
due to automation”
The Guardian, 2016 Jul 16
Workers on a production line in Ho Chi Minh City, Vietnam.
Nine million people, mostly young women, are dependent on
garment and footwear jobs in south-east Asia.
Photograph: Richard Vogel/AP

28. IoT not secure ?
Many IoT and IIot hacked  Need secured protocols and project management
Cyber physical system = Hack !
GDPR : Europe has unified its
regulation concerning personal
data privacy & storage (#credit
cards, names, date of birth, …)
July 31, 2017 : Security Flow, 175,000 IoT cameras hackable
➢ Fines 20 million €

29. Introduction: Real Cases of Industrial IoT
29

30. “There is No Industry 4.0 without OPC UA” why ?
Germany : OPC UA = Compulsory
Many sources, eg. https://www.pc-control.net/pdf/012017/technology/pcc_0117_industrie-40-opc-ua_e.pdf

31. Faster, more Precise
and more Effective
Decisions
ESP is transformational
because it enables
situation awareness

32. Cloud
IoT
Edge
AI

33. IoT in the Cloud IoT on the Edge

34. The Cloud hosts
the most Complex
Processing
Simple processing
filtering, batching, compression
Complex processing
Azure Stream Analytics, Cognitive Services

35. IoT contraints in 2017
• 10 to 15 years ago, no real BigData
• 2017 : explosion of the Data Scientific jobs thanks to BigData,
and the need to process it
• BUT now IoT are returning a massive amount of information
which jams into the network
• We can no longer send real-time infra-red images of 200
cameras to the server, for processing the RAW video
and take actions.
• Data MUST be processed close to
the devices  New discipline :
IoT Edge processing
with Data Science embedded
into the device or the gateway.

36. IoT contraints in 2017
• IoT Edge Computing & OpenFog
consorsium
• Aim of Microsoft : Rely on
Containers to have a unified
experience in coding DataScience in
both:
• the Cloud (CT)
• and on the Field Device side (OT)
Source 2016: http://www.computer-
automation.de/unternehmensebene/produktionssoftware/
artikel/132760

37. IoT contraints in 2017
• Azure IoT Edge (was Azure IoT Gateway SDK) :
https://azure.microsoft.com/fr-fr/campaigns/iot-
edge/
• https://github.com/azure/iot-edge
Short term aim:
• Azure Machine Learning
• Azure Stream Analytics
• Azure Functions
• Artificial Intelligence, including Cognitive Services
• Azure IoT Hub communication and device
management features
https://github.com/azure/mmlspark (public 22 August 2017)

38. Microsoft is very active on Industry 4.0 for years
• Invests : Thousands of $ on
standards
• Contributes : work on projects
• Shares : Talks + GITHUB
• Change : Modify Azure to comply
www.slideshare.net/ClemensVasters/hannover-
messe-2017-systems-federation-in-industrie-40

40. Introduction: Real Cases of Industrial IoT
41

41. OPC UA
is for
industry !
➢ Not for small projects
➢ Powerful and robust
➢ Allows unification of devices and save
time and money
➢ Largely documented standard

42. EVER WANTED TO HAVE A
SUPER-HERO VISION ?
UIR=99.56%

43. Not a fiction anymore !
with Microsoft HoloLens

44. FUTURE (not NDA, but
important !)
• Big Bet on Docker (ex. IoT Edge, hence Azure ML) and
GIT
• Python, PySpark (Terabytes of data for many clusters), R
• Carry on Cross platform : OS X, Windows, Linux (CLI)
• IoT Central
• IoT + Blockchain…. (transition to talk !)
Don’t miss out the next
talk about Blockchain !
(deep dive)