1. Sensor technology and embedded intelligence
CSE-E4670 Introduction to Industrial Internet
Kari Tammi

2. Homework 1. Check the commercial example:
AND
2. Consider what this means in terms of
Sensor technology?
Data transfer?
Data analytics?
3. Consider the benefits of the technologies shown in the example
Who benefits?
What are benefits?

3. Internet of everything? Digital revolution or evolution?
Q: What’s that? A: Number of answers ~ number of persons giving an answer (slightly provocative answer) Q: Is there a difference between Internet of Things, Industrial Internet, Industrie 4.0, or Big Data? A: Probably yes, but terms overlap quite a bit Large companies have been active in defining what digital revolution means for their business (strategy & marketing work)

4. IoT - Internet of Things (with permission of Dr. Olli Ventä /VTT)
Xu, He, Li, Intenet of Things in Industries: Survey, IEEE Tr. on Industrial Informatics, vol. 10, No. 4, Nov

5. Industrie 4.0 (with permission of Dr. Olli Ventä /VTT)
Siemens 2013

6. Industrial Internet (with permission of Dr. Olli Ventä /VTT)
Evans, Annunziata, Industrial Internet: Pushing the Boundaries of Minds and Machines, General Electric, Nov. 26, 2012.

7. Back to homework – discussion Consider what this means: Sensor technology, Data transfer & analytics

8. Consider the benefits: Who benefits? What are benefits?

9. Sensor technologies exist, but they are not the key point as such
Engineered sensors and biological sensors, examples:
Pressure, ultrasonic, humidity, gas, acceleration, force, …
Light, motion, temperature, magnetic fields, gravity, …
Molecules, toxins, nutrients, pheromones, …
THE KEY IS WHAT USEFUL YOU CAN DO!
(useful = economically justified in this context)

10. Embedded intelligence, not the key point either, but different questions
Where to analyse, examples:
Local microcontroller, digital signal processors, …
Computers, computer grids, graphic cards, …
Cloud computing, …
THE KEY IS WHAT USEFUL YOU CAN DO!
(useful = economically justified in this context)

11. Summary: enablers for Digital Evolution
Low power sensors, wireless broadcasting, no battery changing! Data transfer (5G is promising and solves speed & security issues) Understanding machine/power plant/process (need for physical models to create information out of Big Data) Reliability (sensors, cables, connectors data transfer, data analytics) Understanding benefits (who pays, who benefits) Business models (sharing the benefits gained)
Red = must know

12. History of Coke machine
Date: 11-Jun-90, Subject: Re: Interesting uses of networking …The cs.cmu.edu Coke machine was hooked up to a computer by John Zsarnay and/or Lawrence Butcher (now at Xerox PARC); essentially, the six little out-of-product lights on the pushbuttons were monitored… They were connected, I believe, to a terminal server machine that was programmed by Mike Kazar to keep track of the time of the last transition (short-term and long-term) for each column. He and Dave Nichols put together a simple protocol by which any machine on the local University-grant Ethernet, and later the Internet as a whole, could probe the current status of the machine; Dave wrote the program that became the ``coke'‘ command, which printed out the length of time since each column had been totally empty…