Presentation

1. ( Its Impact on the Design of
Automation Systems)
Dr. Santhosh Krishna B V
New Horizon College of Engineering , Bengaluru, India

2. 2
Is it Evolution or Revolution? – A Million Dollar Question
Evolution Revolution
Early Carriage More Fancy Carriage Early Automobile
Evolution Revolution
Vintage Analog Phone Fancy Digital Phone Smart Internet Phone
• Evolution - A gradual process in which something changes progressively from one stage to another
• Revolution - A total turn around; a sudden, complete, or fundamentally radical change in something
• Typically, Revolution leads to further Evolution – For example, Invention of Automobile was Revolutionary however
innovations such as Ground Mail and Commercial Transportation evolved Automobile invention into a Commercial
Enterprise

3. Evolution to Revolution
Evolution refers to gradual changes over a
period of time.
 ‘The Internet of Things’ (IoT) was first coined in 1999
but really took flight around 2008 when there were more
connected devices than people living on the earth.
Arguably this is when the revolution of The Internet of
Things started as revolution refers to a sudden or radical
change.
 There has been a huge surge in smart connected
devices that is changing the face of our technological
landscape leading to massive data exchanges between
internet or cloud related products.
Whether this be wearable's, self-driving cars, sensors,
smart homes or industry 4.0 (Smart Factories) we’re all
now using or in the midst of smart connected devices.

4. PATH
The Path to Industry 4.0 via IIoT

5. 5
Manufacturing Revolution
– From Industry 1.0 to Industry 4.0
Industry 1.0 Industry 2.0 Industry 3.0 Industry 4.0
FIRST
Industrial Revolution
SECOND
Industrial Revolution
THIRD
Industrial Revolution
FOURTH
Industrial Revolution
Key Change:
Introduction of Mechanical
Production Equipment driven by
Water and Stream Power
18th Century Mechanical Loom
Key Change:
Introduction of mass Manufacturing
Production lines powered by
Electric Energy
Vintage Electric Conveyor Belt
Key Change:
Introduction of Electronics, PLC
Devices, Robots and IT to automate
Production
PLC Driven Robots
Key Change:
Introduction of IoT and Cyber-Physical
Systems driven by Augmented Reality
& Real Time Intelligence
Augmented Reality Driven CPS
End of 19th Century
End of 18th Century Q4 of 20th Century Start of 21th Century
Level
Of
Complexity

6. IoT
INTRODUCTION

7. INTERNET OF THINGS – IoT – What is it ?

10. DEFINITION - IOT
Internet of Things, which is usually abbreviated as IoT, can be described as
internet for everything. Everything here literally means everything, so that to put
it simple, IoT is an internet technology that is used for every aspect in this life,
especially works that are usually done manually with human labours.
The definition of IoT is evolving, as the term is increasingly being used to describe
objects that interact and “speak” to one another, so we can have the opportunity to
be more efficient in how we do things.

11. EVERYTHING – EVERYTHING
IoT
Anytime
Any
Context
Anyone
Anybody
Any
Service
Any
Business
Any Path
Any
Network
Anyplace
Anywhere
Anything
Any
device

12. Gartner IoT
Reference Model

13. How big is IoT Market
At the end of 2019 there
were 7.6 billion active IoT
devices. According to new
research published by
Transforma Insights, this total
will grow to 24.1 billion in
2030, a compound annual
growth rate (CAGR) of 11%.

14. IoT-Use cases

15. What is Industrial Internet of Things
(IIoT)?
Industrial IoT, or the Industrial Internet of Things (IIoT), is a vital
element of Industry 4.0.
The principal driver of IIoT is smart machines, for two reasons.
The first is that smart machines capture and analyze data in real-time,
which humans cannot.
 The second is that smart machines communicate their findings in a
manner that is simple and fast, enabling faster and more accurate business
decisions.

16. What is Industrial Internet of Things
(IIoT)?
IIoT is used across a range of industries from
manufacturing, logistics, oil and gas,
transportation, mining, aviation, energy, and more.
Its focus is to optimize operations--particularly the
automation of processes and maintenance.
 In the long run, it moves the industry toward a
demand service model, increases customer
intimacy, and creates new revenue streams.

17. Real world IIoT values

18. CRITICAL ROLE
The critical role of sensors in the IIoT

19. Barriers for IIoT adoption

20. Challenges with
Industrial IoT Integration
Source www.3pillarglobal.com

21. Challenges with Industrial IoT Integration
High-Investment Cost
Secure Data Storage & Management
Connectivity Outages
Blending Legacy and IIoT Infrastructure

22. • High-Investment Cost
One of the more obvious industrial IoT challenges is
the high cost of adoption.
However, it’s hard for organizations to justify the
cost when
A: they’re not entirely sure what kind of ROI
to expect, and
B: they don’t have experience implementing
connected systems.
According to Microsoft’s 2019 IoT Signals
report, 29% of organizations reported that a lack of
resources was one of the top reasons for holding off
on IoT adoption.

23. • Secure Data Storage & Management
IoT devices generate a TON of data.
The issue here is, this massive amount of data must be
processed extremely fast to detect patterns in real-time.
Given the level of security that IIoT technologies demand,
organizations must come up with a plan for streamlining data
monitoring, management, and storage, allowing for fast
response times to incoming threats.
This means organizations must plan for secure, short-term
storage solutions (like edge computing), as well as a long-term
solution (cloud or data centers) for long-term storage.

24. • Connectivity Outages
One of the key things that enterprises need to consider ahead
of undergoing the big IIoT transformation is that there’s this
need for constant, uninterrupted connectivity.
The challenge is, even if you’re just talking about
uninterrupted internet uptime, achieving 100% availability is
almost impossible.
Whether that’s because of maintenance or something else, at
some point or another, the connection may be lost.
As such, organizations will need to find a suitable vendor for
meeting connectivity requirements to avoid downtime.
With IIoT, outages introduce several risk factors that go well
beyond the annoyance of a temporary WiFi outage. When
sensors are being used to detect hazards such as gas leaks, an
outage could really be a life or death situation. Smart grid
outages can wipe out power for an entire community.

25. • Blending Legacy and IIoT Infrastructure
The more complex your IIoT system, the greater the
chances are that your IT admins and OT engineers have
the visibility, access, and control over every single
moving piece in the ecosystem.
As organizations deploy IIoT devices on legacy
equipment and various devices made by different
companies, it becomes incredibly challenging for
employees to monitor and control the end-to-end
operation.
As it stands, there’s no set of standards for how
organizations should process data between various
devices and machines. There’s no standard for how to
ensure interoperability or secure a system that includes
equipment that was never meant to be “smart” in the
first place.

26. Tips for Bringing the IIoT Into Your Manufacturing
Business
Organizations must have the following in place to be considered 100% IIoT-
enabled:
Machinery that is equipped with sensors and software capable of collecting
and organizing data.
Robust cloud or edge computing systems that can store and process data in
real-time.
Advanced analytics systems that allow teams to extract and analyze data
from connected systems, allowing them to make decisions about internal
operations, supply chain optimization, asset management, and so on.
Employees with a deep knowledge of how to put insights into action to
ensure productivity and uptime.

27. Digitalization has been an objective since the earliest days of computers.
Now , with sensors and communication making IoT affordable, it can be
included in every organization’s strategy. The industrial IoT is already
having a significant effect on most industries and it will increasingly be
used as a catalyst for digital transformation .
Conclusion

28. Thank you all
You can reach me out at
santhoshkrishna1987@gmail.com