The document discusses the Internet of Things (IoT). It defines IoT as a network that connects uniquely identifiable "things" to the Internet, allowing them to collect and share data. Some key points:
- By 2020, it is estimated there will be 50 to 200 billion connected devices as part of the IoT.
- IoT blends the physical world with the digital by integrating sensors that can detect and transmit information about things like temperature, motion, and more.
- IoT has applications in various sectors like smart homes, manufacturing, oil/gas, mining, and logistics to optimize operations and extract insights from real-time data.
4. Implementation in Village examples
Smart Weather and Irrigation
“It will rain tomorrow” on SMS, save electricity “don’t run the motors
today”
Smart Agriculture
“Crop diseases and Pesticides” , prevention better than cure!
“Prices, Places and Transport service providers, Retailers”,
maximize revenue!
“Fruit/ Vegetable ripe” on SMS, time to harvest, trucks to arrive!
“Cattle shed/grazing camera” surveillance, peace of mind for the
farmer!
5. Internet Of Things: Definition
● “An IoT is a network that connects uniquely identifiable “Things” to the Internet. The “Things”
have sensing/actuation and potential programmability capabilities. Through the exploitation of
unique identification and sensing, information about the “Thing” can be collected and the state of
the ‘Thing’ can be changed from anywhere, anytime, by anything.” – iot.ieee.org
● “With a trillion sensors, the Internet of Things would be the ‘biggest business in the history of
electronics.’” Motherboard.vice.com.
● IoT combines the physical and digital worlds. McKinsey Global Research.
6. IOT: Elements
● “Sensor” or "sensors” refer to a particular category of devices that can sense or measure defined physical,
chemical or biological quantities and generates associated quantitative data. This is in contrast to other sensor
definitions that are encountered in relation to the IoT in which devices such as RFID readers are considered to
sense the data they acquire.
● Actuator: Mechanical device for moving or controlling a mechanism or system. It takes energy, usually
transported by air, electric current or liquid, and converts it into a state change, thus affecting one or more
physical entities.
● Augmented entity: The composition of a physical entity and its associated virtual entity.
7. IOT: Elements
● Gateway: A device that provides protocol translation between peripheral trunks of the IoT that is provided
with lower parts of the communication stacks. For efficiency purposes, gateways can act at different layers,
depending on which is the lowest layer in a common protocol implementation. Gateways can also provide
support for security, scalability, service discovery, geollocalization, billing, etc.
● Identifier (ID): An artificially generated or natural feature used to disambiguate things from each other.
There can be several IDs for the same Physical Entity. This set of IDs is an attribute of a physical entity.
● Software: Central Server & Processing Core on Cloud.
● Data Analytics: Big Data Analytics.
11. IOT IN MANUFACTURING
• Connect, obtain and analyze
• New information technologies: not only make
the management of manufacturing more
effective, but also the work smarter.
• Most of the growth happens in Manufacturing sector by
2025
• visibility to the point where each unit of production can
be “seen” at each step in the production process.
14. What is in it for implementers!
Advantages:
Add end to end intelligence
Extract new insights from data
Optimize and secure operations
Enable new services
Predictive Maintenance
Improved Yields
Higher Quality
Remote management
Barriers:
Machinery that includes IoT sensors and
actuators
Short-range and long-range data
communications networks with sufficient
reliability and capacity
Improvements in data analytics
Data security and confidentiality are
important to address
15. APPLICATIONS OF IOT IN OIL & GAS INDUSTRY
Real time visibility of assets and
equipments.
Enhance System reliability and
capture leakages through by IR
images.
Connect Operations around the
world , both onshore and offshore
Cognitive Computing to analyze
and take timely corrective
decisions for uncertainties and
geological risks , especially in Oil
Exploration industry.
Shift from time-based preventive
planning to condition-based
predictive.
Optimization using real-time
process modeling system.
16. APPLICATIONS OF IOT IN MINING
.
•Driverless trucks (Rio Tinto, BHP Billiton )
• Autonomous Drilling Systems(No human intervention )
•Makes Mining Safer (Thru predictive analysis from real
time data)
•proximity sensors and warning technology, such as GPS,
radar, video, and RF locating devices
•visualization software (called RTVis™) providing 3D
displays of the mine and other related data for use by pit
controllers, geologists, drill-and-blast teams, mine
planners, and supervisors.
•Reduced maintenance costs, lower energy consumption,
minimize downtime, improve equipment performance,
enhance safety and centralize controls
17. KIVA
ROBOTS
Once the customer clicks the “buy” button online, the
robots locate and move the pod to the assigned packing
station( using priority, QR codes on the floor, and IR
sensors ) so that a worker can prepare the order for
shipment
APPLICATIONS OF IOT IN LOGISTICS
.
CarIQ: smart driving
SenseGiz: Earning back the 5 days a year we spend looking for things
TeeWe: connect all your content to your TV
LifePlot: the cheapest and most mobile electrocardiography diagnosis tool