Introduction Physical Design Logical Design Enabling Technologies IoT Levels and Deployment Templates

1. INTRODUCTION AND CONCEPTS OF IOT
 Introduction
 Physical Design
 Logical Design
 Enabling Technologies
 IoT Levels and Deployment
Templates
4/20/2021
DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 1

2. CREDITS
Arshdeep bhagha & Vijay Maddisetti
MRS sir
Google
4/20/2021
DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 2

3. INTERNET OF THINGS
IoT
Things – around us
Connected- Internet
Remote Controlling
Remote Monitoring
Applications-All Disciplines
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 3

4. INTRODUCTION TO IOT
“A dynamic global network infrastructure with self-configuring capabilities
based on standard and interoperable communication protocols where physical
and virtual "things" have identities, physical attributes, and virtual personalities
and use intelligent interfaces, and are seamlessly integrated into the
information network, often communicate data associated with users and their
environments”
Definition by
Arshadeep & Vijay
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 4

5. CHARACTERISTICS OF IOT
Dynamic & Self-Adapting
Self-Configuring
Interoperable Communication Protocols
Unique Identity
Integrated into Information Network
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6. INTERNET OF THINGS
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7. INTERNET OF THINGS
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8. INTERNET OF THINGS
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9. INTERNET OF THINGS
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10. INTERNET OF THINGS
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11. INTERNET OF THINGS
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12. PHYSICAL DESIGN OF IOT
Things in IoT
IoT Protocols
Link Layer
Network Layer
Transport Layer
Application Layer
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13. THINGS IN IOT
 The "Things" in IoT usually refers to IoT devices which have unique identities and
can perform remote sensing, actuating and monitoring capabilities.
 IoT devices can:
 Exchange data with other connected devices and applications (directly or indirectly), or
 Collect data from other devices and process the data locally or
 Send the data to centralized servers or cloud-based application back-ends for processing
the data, or
 Perform some tasks locally and other tasks within the IoT infrastructure, based on
temporal and space constraints
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14. THINGS IN IOT
 An IoT device may consist of
several interfaces for connections
to other devices, both wired and
wireless.
 I/O interfaces for sensors
 Interfaces for Internet connectivity
 Memory and storage interfaces
 Audio/video interfaces.
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15. IOT PROTOCOLS
 Link Layer
 802.3 – Ethernet
 802.11 – WiFi
 802.16 – WiMax
 802.15.4 – LR-WPAN
 2G/3G/4G
 Network/Internet Layer
 IPv4
 IPv6
 6LoWPAN
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16. IOT PROTOCOLS
 Transport Layer
 TCP
 UDP
 Application Layer
 HTTP
 CoAP
 WebSocket
 MQTT
 XMPP
 DDS
 AMQP
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17. LOGICAL DESIGN OF IOT
 IoT Functional Blocks
 IoT Communication Models
 Request-Response
 Publish-Subscribe
 Push-Pull
 Exclisive Pair
 IoT Communication API’s
 Rest-based
 WebSocket-based
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18. IOT FUNCTIONAL BLOCKS
 Logical design of an IoT system refers to an
abstract representation of the entities and
processes without going into the low-level
specifics of the implementation.
 An IoT system comprises of a number of
functional blocks that provide the system the
capabilities for identification, sensing, actuation,
communication, and management.
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19. REQUEST-RESPONSE COMMUNICATION MODEL
 Request-Response is a communication model in
which the client sends requests to the server
and the server responds to the requests.
 When the server receives a request, it decides
how to respond, fetches the data, retrieves
resource representations, prepares the
response, and then sends the response to the
client.
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20. PUBLISH-SUBSCRIBE COMMUNICATION MODEL
 Publish-Subscribe is a communication model that
involves publishers, brokers and consumers.
 Publishers are the source of data.
 Publishers send the data to the topics which are
managed by the broker.
 Publishers are not aware of the consumers.
Consumers subscribe to the topics which are
managed by the broker.
 When the broker receives data for a topic from the
publisher, it sends the data to all the subscribed
consumers.
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21. PUSH-PULL COMMUNICATION MODEL
 Push-Pull is a communication model in which the
data producers push the data to queues and the
consumers pull the data from the queues.
 Producers do not need to be aware of the
consumers.
 Queues help in decoupling the messaging between
the producers
 and consumers.
 Queues also act as a buffer which helps in
situations when there is a mismatch between the
rate at which the producers push data and the rate
rate at which the consumers pull data.
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22. EXCLUSIVE PAIR COMMUNICATION MODEL
 Exclusive Pair is a bidirectional, fully duplex
communication model that uses a persistent
connection between the client and server.
 Once the connection is setup it remains open
until the client sends a request to close the
connection.
 Client and server can send messages to each
other after connection setup.
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23. REST-BASED COMMUNICATION API
 Representational State Transfer (REST) is a set
of architectural principles by which you can
design web services and web APIs that focus on
a system’s resources and how resource states
are addressed and transferred.
 REST APIs follow the request response
communication model.
 The REST architectural constraints apply to the
components, connectors, and data elements,
within a distributed hypermedia system.
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24. WEB SOCKET-BASED COMMUNICATION API
 Web Socket APIs allow bidirectional, full duplex
communication between clients and servers.
 Web Socket APIs follow the exclusive pair
communication model
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25. IOT ENABLING TECHNOLOGIES
AI, ML, DL
Wireless Sensor Networks
Cloud Computing
Big data Analytics
Communication Protocols
Embedded Systems
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26. 4/20/2021
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27. ARTIFICIAL INTELLIGENCE
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28. ARTIFICIAL INTELLIGENCE
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29. ARTIFICIAL INTELLIGENCE
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30. ARTIFICIAL INTELLIGENCE
 AI
 Blue print of Human Intelligence
 Input-Process-Output,
 sense organs-Brain- (Movements)Legs, Mouth, Hands
 Sense-Process-Act,
 sensors-microcontrollers-Actuators
 Analysing
 Applications-All Disciplines
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31. ARTIFICIAL INTELLIGENCE
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32. ARTIFICIAL INTELLIGENCE
 AI
 Internet of Things (IoT)
 Machine Learning (ML)
 Deep Learning (DL)
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33. MACHINE LEARNING
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34. MACHINE LEARNING
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35. MACHINE LEARNING
 ML-Automatic Learning by machine
 Dog-Bell-Experiment
 Applications-All Disciplines
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36. MACHINE LEARNING
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37. DEEP LEARNING
 DL-Has more hidden Layers
 neural networks
 Applications-All Disciplines
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38. DEEP LEARNING
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39. DEEP LEARNING
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40. DEEP LEARNING
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41. DATA SCIENCE
 DS-Useful data
 Decisions
 Applications-All Disciplines
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42. DATA SCIENCE
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43. GARTNER HYPE CYCLE
 AI
 Python
 Emerging Technologies
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44. IOT LEVELS & DEPLOYMENT TEMPLATES
 IoT system Components
 IoT Level -1
 IoT Level -2
 IoT Level -3
 IoT Level -4
 IoT Level -5
 IoT Level -6
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45. IOT SYSTEM COMPONENTS
 An IoT system comprises of the following components:
 Device:
 An IoT device allows identification, remote sensing, actuating and remote monitoring capabilities.
 Resource:
 Resources are software components on the IoT device for accessing, processing, and storing sensor
information, or controlling actuators connected to the device. Resources also include the software
components that enable network access for the device.
 Controller Service:
 Controller service is a native service that runs on the device and interacts with the web services.
Controller service sends data from the device to the web service and receives commands from the
application (via web services) for controlling the device.
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46. IOT SYSTEM COMPONENTS
 Database:
 Database can be either local or in the cloud and stores the data generated by the IoT device.
 Web Service:
 Web services serve as a link between the IoT device, application, database and analysis components. Web service can be
either implemented using HTTP and REST principles (REST service) or using WebSocket protocol (WebSocket service).
 Analysis Component:
 The Analysis Component is responsible for analysing the IoT data and generate results in a form which are easy for the user
to understand.
 Application:
 IoT applications provide an interface that the users can use to control and monitor various aspects of the IoT system.
Applications also allow users to view the system status and view the processed data.
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47. IOT LEVEL-1
 A level-1 IoT system has a single node/device
that performs sensing and/or actuation, stores
data, performs analysis and hosts the
application
 Level-1 IoT systems are suitable for modelling
low cost and low-complexity solutions where the
data involved is not big and the analysis
requirements are not computationally intensive.
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 47

48. IOT LEVEL-2
 A level-2 IoT system has a single node that
performs sensing and/or actuation and local
analysis.
 Data is stored in the cloud and application is
usually cloud based.
 Level-2 IoT systems are suitable for solutions
where the data involved is big, however, the
primary analysis requirement is not
computationally intensive and can be done
locally itself.
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49. IOT LEVEL-3
 A level-3 IoT system has a single node. Data is
stored and analyzed in the cloud and application
is cloudbased.
 Level-3 IoT systems are suitable for solutions
where the data involved is big and the analysis
requirements are computationally intensive.
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50. IOT LEVEL-4
 A level-4 IoT system has multiple nodes that perform local
analysis. Data is stored in the cloud and application is
cloud-based.
 Level-4 contains local and cloud based observer nodes
which can subscribe to and receive information collected
in the cloud from IoT devices.
 Level-4 IoT systems are suitable for solutions where
multiple nodes are required, the data involved is big and
the analysis requirements are computationally intensive.
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51. IOT LEVEL-5
 A level-5 IoT system has multiple end nodes and one
coordinator node.
 The end nodes that perform sensing and/or actuation.
 Coordinator node collects data from the end nodes and
sends to the cloud.
 Data is stored and analyzed in the cloud and application is
cloud-based.
 Level-5 IoT systems are suitable for solutions based on
wireless sensor networks, in which the data involved is big
and the analysis requirements are computationally
intensive.
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52. IOT LEVEL-6
 A level-6 IoT system has multiple independent end nodes
that perform sensing and/or actuation and send data to
the cloud.
 Data is stored in the cloud and application is cloud-based.
 The analytics component analyses the data and stores the
results in the cloud database.
 The results are visualized with the cloud-based
application.
 The centralized controller is aware of the status of all the
end nodes and sends control commands to the nodes.
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53. SUMMARY
INTRODUCTION AND CONCEPTS OF IOT
 Introduction
 Physical Design
 Logical Design
 Enabling Technologies
 IoT Levels and Deployment
Templates
4/20/2021
DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 53

54. LUXE: Smart Homes / Office
HARMONIZER APP DESIGN – for
SMART SWITCHES
Design by: Vikram + MRS
Sept 2020
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55. LUXE: Smart Homes / Office LUXE: Smart Homes / Office
Single room
1BHK
2BHK
3BHK
Villa
LUXE: Smart Homes / Office
Single room
Switch 1
Switch 2
Switch 3
Switch 4
Switch 5
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 55

56. LUXE: Smart Homes / Office
Single room
1BHK
2BHK
3BHK
Villa
LUXE: Smart Homes / Office
Bed Room: SB 1
Switch 1
Switch 2
Switch 3
Switch 4
Switch 5
LUXE: Smart Homes / Office
Single room
1BHK
4/20/2021
DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 56

57. HARMONIZER INDIA PVT LTD.,
INTRODUCING
“CANNY” INTELLIGENT PANELS
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58. PROBLEM STATEMENT IN ELECTRICAL
PANELS
 Temperature inside the Enclosure
 Heat Trap
 Deterioration of Insulation
 Smoke due to insulation burning
 Smoke due to Short circuit
 Vibration due to Busbar
 Vibration due to over
load/harmonics
 Over Load on the equipment
“CANNY” INTELLIGENT PANELS
SMART SOLUTION WITH MACHINE LEARNING TECHNOLOGY
Convert your existing Electrical
Switchboard to “Canny”
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 58

59. CANNY – AN INTELLIGENT ELECTRIC SWITCH BOARD
Measure
Analyse
Control
Field devices to measure
 Temperature in each Feeder, Cable,
Busbar
 Vibration on the Electric Switchboard
 Hot Spot Temperature
 Busbar alignment
 Insect, animal movement
 Smoke detection
Mobile APP for
 Monitoring Temperature
 Vibration on the Electric Switchboard
 Hot Spot Temperature
 Busbar alignment
Machine Learning Technology
 Alert
 Automatic Solution recommendation
Monitor
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 59

60. Canny
PCC 1
PCC 2
MCC 1
MCC 2
MCC 3
Canny
CANNY – MOBILE APP
PCC 1
Temperature
Smoke
Vibration
Canny
PCC 1 - Feeders
Feeder 1
Feeder 2
Feeder N
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DR. VIKRAM NEERUGATTI, PROFESSOR & HEAD, DEPT. OF CSE, ASIT, GUDURU. 60

61. CANNY – MOBILE APP
Canny
PCC 1 - Feeders
Feeder 1
Feeder 2
Feeder N
Canny
Feeder 1
Tmax = 60Deg C
Tmini = 40Deg C
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62. HARMONIZER INDIA PVT LTD.,
INTRODUCING INTELLIGENT PANELS
Measure
Monitor
Analyse
Control
Canny – Intelligent Switch board
Canny , Dapper
PCC 1
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63. ANY CLARIFICATIONS?
4/20/2021
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64. THANK YOU FOR YOUR TIME
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