Basics of Industrial Internet of Things.pptx

Internet of Things

1. Instrumentation & Internet of Things ( IoT ) Integration D.Chakraborty Industrial Professional In Instrumentation & IoT

2. Internet of Things (IoT) The network of physical objects—“things” Embedded with sensors, software, and other technologies Connecting and exchanging data with other devices and systems over the internet

3. Cloud Computing Delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”)  Faster innovation, flexible resources, and economies of scale

4. Related Areas Embedded systems: not necessarily connected Sensor networks: collection of sensor devices connected through wireless channels Cyber-physical systems: focus on interaction between physical and cyber systems Real-time systems: focus on time constraints Pervasive/ubiquitous computing: focus on anytime/anywhere computing

5. Internet of Things (IoT) Term coined by British entrepreneur Kevin Ashton, while working at MIT Auto-ID Labs Referred to (and envisioning) a future global network of objects connected specifically by RFID (radio-frequency identification) Complete automation of data collection First article about IoT in 2004 from MIT; called “Internet 0”

6. Application of IoT Smart manufacturing Medicine and healthcare Connected assets and preventive and predictive maintenance Smart power grids Smart cities Defense/ surveillance Connected logistics Smart digital supply chains Home automation (smart home) Smart Agriculture Smart transportation

7. Application of IoT

8. Growth of IoTs

9. IoT Future Prediction Challenges Addressing and Naming IoTs to outnumber the number of humans living Do we really need all these IoTs? How to handle so many devices and so much data? How to ensure data security?

10. Smart Devices/ Gadgets Making existing devices smart

11. Smart Manufacturing

12. Smart Agriculture

13. Smart Home

14. Enabling Technologies Access to low-cost, low-power sensor technology.  Embedded system. Low-power communication technology. Connectivity.  Cloud computing platforms.  Machine learning and analytics.  Conversational artificial intelligence (AI). 

15. Enablers: Portability Reducing the size of hardware to enable the creation of computers that could be physically moved around relatively easily

16. Enablers: Miniaturization Creating new and significantly smaller mobile form factors that allowed the use of personal mobile devices while on the move

17. Enablers: Low Power and Low Heat Low power architectures Energy efficient VLSI Single board computers Edge computing devices Low power radios Sleep modes Energy harvesting

18. Enablers: Connectivity Developing devices and applications that allowed users to be online and communicate via wireless data networks while on the move

19. Enablers: Convergence Integrating emerging types of digital mobile devices, such as Personal Digital Assistants (PDAs), mobile phones, music players, cameras, games, etc., into hybrid devices

20. Enablers: Divergence Opposite approach to interaction design by promoting information appliances with specialized functionality rather than generalized ones

21. Enablers: Ecosystems The emerging wave of  digital ecosystems  is about the larger wholes of pervasive and interrelated technologies that interactive mobile systems are increasingly becoming a part of

22. Enablers: Machine Learning Making machines (devices) learn to classify, segment, distinguish, data

23. Enablers: Machine Learning Making machines (devices) learn to classify, segment, distinguish, data

24. IoT Issues & Challenges

25. Characteristics of IoT Connectivity Intelligence and Identity Scalability Dynamic and self-adapting Architecture Safety