IOT_applications and value creations, future factory concepts

IOT_applications and value creations, future factory concepts

1. Unit No: 2 IoT Applications for
Value Creations


Pavan R Jaiswal

2. Introduction
IoT application for industry
Future factory concepts
Brownfield IoT
Smart applications
Value creation for big data and serialization
Retailing industry, oil and gas industry
Home management, e-health

2 IoT applications for value creation

3. IoT has become part of your daily life.
“Things connected to the internet” idea is
continuously evolving in content, areas of
applications, visions and technology.
New real life and industrial projects have been
done and joint future oriented industry and
government initiatives such as Industry 4.0 in
Germany, have been started [1].
3 IoT applications for value creation

4. IoT has become part of your daily life.
“Things connected to the internet” idea is
continuously evolving in content, areas of
applications, visions and technology.
New real life and industrial projects have been
done and joint future oriented industry and
government initiatives such as Industry 4.0 in
Germany, have been started [1].
4 IoT applications for value creation

5. Since Industrial production is one of the world’s
biggest economic factors one of the major objectives
of these initiatives is to bring the paradigms of the
IoT to the factories enabling them to cope with the
challenges raised by popular megatrends.
Central effects are the acceleration of innovation
cycles and the increasing customer demand for
individualized mass produces with highest quality
expectations.
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6. The value question is extremely pertinent in the
industry: in the manufacturing industry entire factory
related processes, but also in industrial applications
where it comes to ensure operation of industrial
installations and provide supervision, and improved
life service.
It is the value which such applications bring which
will determine their adoption, acceptance and wide
use.
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7. However, this value is very difficult to quantify
and prove, and it depends on multiple aspects
which are strongly application area dependent.
This unit is focusing on IoT applications form the
point of view of value creation for industry and
brings together expert opinions from academia,
research and industry.
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8. To start a project in industry environment the
expected benefit, the expected value to the
company has to be estimated and later needs to
be re-evaluated and proved during operation.
To define the value of an industrial IoT
application is difficult.
There are numerous reasons for that.
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9. There is agreement that IoT brings benefit in different
areas, however numbers to quantify that value are scarce.
More recently CISCO proposed a view called Internet of
everything based on IoT and additionally “connecting to
internet everything not connected yet” [3].
The global potential, the “value at stake”, for what was
called Internet of Everything economy and for the decade
2013–2022, was estimated to $14.4 trillion.
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10. There is no value but “values” each
contributing to the total benefit such as:
◦Value from visibility identification, location tracking
◦Value form IoT-supported safety in hard industrial
environments
◦Value from reduced production losses
◦Value from reduced energy consumption
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11. ◦Value from new type of processes made possible by
IoT applications
◦Value form new type of maintenance and lifetime
approaches
◦Value enabled by smart objects, connected aspects
◦Value from sustainability.
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12. Fig 1 View on very important and important perceived IoT technologies
expected to bring value in applications.
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13. Fig 2 Status and estimated potential of IoT applications
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14. Reliability
Robustness
Reasonable cost
Security and safety
Simple use
Optimal and adaptive set of features
Low or no maintenance
Standardization
Integration capabilities
Industry grade support and services
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15. Challenges can be subject of more extended
treatment, however for the needs of present IoT
applications and value creation they have been
divided in 4 groups:
◦IoT device technical challenges
◦Lifetime and energy challenge
◦Data and information challenge
◦Humans and business
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16. 1.Lever mechanisms for IoT in future factory
IoT implementations mainly focus three aspects
◦the network and addressability aspect.
◦the ambient intelligence aspect.
◦the ambient assistance aspect.
High resolution data acquisition and ubiquitous
computing are used to offer context sensitive
services to the human. This clearly focusses the
human.
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17. 2.SmartFactory KL initiative
In order to transfer the central paradigms of the IoT
to factory automation, many technologies working
well in the consumer world have to be applied under
industrial conditions.
One of the biggest obstacles keeping responsible
away from the application of new technologies is
missing trust and the lack of best practice examples.
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18. 2.SmartFactory KL initiative
For this reason in 2004, a group of people from industry
and academia met and formulated the vision of a smart
factory of the future.
After feasibility study the technology initiative
SmartFactory KL was founded in 2005 as a public private
partnership.
Its target is to develop, apply and distribute innovative
industrial plant technology.
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19. 2.SmartFactory KL initiative
The basic equipment of the SmartFactory KL is an
automated production facility for liquid colored soap as
shown in figure 3.
It contains a process manufacturing part as well as a piece
handling part.
Based on state of the art automation technology the
equipment demonstrates the migration path to the
application of smart technologies in factory environments.
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20. Fig 3 SmartFactory KL production facility
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21. Fig 4 Digital product memories in open-loop processes
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22. Fig 5 From automation pyramid to automation network
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23. The IoT aims to be a disruptive technology in many ways
and may change how future industry will work.
However, enabling technologies like RFID or Wireless
Sensor Networks are in place, it is often hindered by the
fact that huge investments are needed and the local value
is considered too low for adoption.
The creation of a global network of various ubiquitous
networks is one of the driving technological vision behind
IoT
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24. The economical vision of creating domain-and
network-wide business fields and usage scenarios by
pervasive information networking uses the “Internet”
both as a technical and economical analogon.
On one hand, as the global IP-based network that
connects over 5 billion devices of different networks,
and on the other the resulting economic growth and
business cases.
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25. Fig 6 High value use cases for IoT retrofitting
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26. Fig 7 IoT supported interaction as part of cyber-physical-
system
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27. Fig 8 Gateway architecture for exposing IoT to ad-hoc SOA
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28. Fig 9 Architecture overview of interconnected smart objects
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29. Fig 10 Service oriented approach (left), smart application
approach (right)
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30. Fig 11 Smart applications workflow
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31. 1.Internet conquering product business
2.Strategic business aspects
3.Vertical business domains for IoT
4.Reference architecture and the core
competence for business
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32. Fig 12 Impressive growth in Internet access
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33. Fig 13 By 2015 expected IP ready-devices connected to
internet
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34. Four aspects of IoT and services
1.Technology advances
2.Business innovation
3.Market disruptions
4.People competences
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35. The value of IoT and services technology is
delivered in vertical applications domains.
There are many hot candidates to be clearly
movers
1.Connected energy
2.Connected industry
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36. The business success in one vertical domain is the
key entry point, but successful architectures will
reach out to other verticals later.
Only architectures that can cover multiple domains
will be successful in the long run, as the domain
“silos” of the past still prevents a lot of innovation
between the domains: e.g.,
between automotive and energy in electromobility.
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37. Industries are maturing at a faster rate than
ever before.
Manufacturing is increasingly distributed and
outsourced.
Companies are increasingly looking to
optimize savings across the total product
lifecycle.

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38. As industries instrument complex processes beyond
manufacturing plants in the supply chain and
aftermarket services, Automated Information Data
Collection (AIDC) technologies including optical
scanning of printed linear or 2D bar codes, radio
frequency “reads” of passive RFID tags together with
new telemetry technologies, provide a powerful
portfolio of tools for product lifecycle visibility.
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39. Serialized identifiers are the keys to building an Internet of
Things; just as unique IP addresses are integral to the web
itself.
One global system of such identifiers, the MIT Auto-ID
Center Electronic Product Code (EPC),
was licensed by GS1 for use by its member manufacturers
in all 124 countries, together with EPCGenII RFID specs,
are now instantiated in ISO Automatic Identification and
Data Capture Techniques [20ISO18000-6c].
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40. A radical transformation of the pharmaceutical
manufacturing industry is taking place, much as occurred
previously in the textile and electronics manufacturing
sectors.
Big Data can be compared to the discovery of the
microscope, Professor Eric Byrnolfsson, Ph.D. said in his
keynote at the MIT Sloan “Big Data: The Management
Revolution” conference and in a recent Harvard Business
Review article [23 Brynolfsson, 2012].
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41. Fig 14 The 7 flows of supply chain information
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42. The IoT has become a dominant term for describing
the integration of information with real-world
products, items, and things.
IoT is broad term comprising applications from
manufacturing, smart power grids, RFID, mobile
applications, track & trace, traffic monitoring, smart
cities and retail.
Internet oriented development
Thing oriented development
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43. IoT gives access about real-world processes and
phenomena in real time.
For instance, it offers the opportunity to
integrate social media into the sales floor.
This allows retailers to gain more insights into
the opinions of their customers and to benefit
from viral marketing as shown in fig 15.
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44. Fig 15 Embedding social media on sales floor
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45. Fig 16 Opportunities for retailing using IoT
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46. Fig 17 IoT small survey structure
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47. 1.Explain future factory concept.
2.Explain values contributing to the benefit of an
IoT.
3.What are the requirements for IoT application
capabilities for industrial applications?
4.Describe the Challenges faced by IoT industry
applications.
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48. 5.How Smart Factory initiative can imagine the
utilization of augmented reality in the context of
factory automation?
6.Explain the High value use cases for IoT
retrofitting.
7.Explain cyber-physical systems with help of use-
case.
8.Describe the Architecture overview of
interconnected smart objects.
9.Explain the High value use cases for IoT
retrofitting.
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49. 10.Discuss the Aspects in Business to Master IoT.
11.How Retail industry can be benefited by using
IoT?
12.Explain Oil and Gas industry use case for IoT.
13.Serialized identifiers are the keys to building an
Internet of Things- Explain with help of example.
14.Explain the workflow of the smart application
development.
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50. Text book: Internet of Things: Converging Technologies for Smart
Environments and Integrated Ecosystems by Dr. Ovidiu Vermesan,
Dr. Peter Friess
1.Seshadri, A., Luk, M., Perrig, A., van Doorn, L., and Khosla,
P.SCUBA: Secure code update by attestation in sensor networks.
InWiSe ’06: Proceedings of the 5th ACM workshop on Wireless
security (2006), ACM.
2. Aurelien Francillon, Claudio Soriente, Daniele Perito and Claude
Castelluccia: On the Difficulty of software based attestation of
embedded devices. ACM Conference on Computer and
Communications Security (CCS), November 2009
3. Benjamin Vetter, Dirk Westhoff: Code Attestation with Compressed
Instruction Code. IICS 2011: 170–181 group.org/
4.Trusted Computing Group (TCG) Specification. URL:
http://www.trustedcomputing

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51. Thank You
http://www.pavanjaiswal.com
51 IoT applications for value creation