Industrial Internet

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The industrial internet is a term coined by General Electric[1] and refers to the integration of complex physical machinery with networked sensors and software. The industrial Internet draws together fields such as machine learning, big data, the Internet of things and machine-to-machine communication to ingest data from machines, analyze it (often in real-time), and use it to adjust operations.


The Google driverless car takes in environmental data from roof-mounted LIDAR, uses machine-vision techniques to identify road geometry and obstacles, and controls the car’s throttle, brakes and steering mechanism in real-time.[2]

The Union Pacific Railroad mounts infrared thermometers, microphones and ultrasound scanners alongside its tracks. These sensors scan every train as it passes and send readings to the railroad’s data centers, where pattern-matching software identifies equipment at risk of failure.[3][4] Falling prices for computing power and networked sensors mean that similar techniques can be applied to small, common devices like machine tools.[5]

See also[edit]


  1. ^ Leber, Jessica (2012-11-28). "General Electric’s San Ramon Software Center Takes Shape | MIT Technology Review". Retrieved 2013-08-18. 
  2. ^ Steve Lohr. "The Internet Gets Physical". The New York Times. Retrieved 2013-08-18. 
  3. ^ Chris Murphy (2012-08-08). "Union Pacific Delivers Internet Of Things Reality Check - Global Cio". Retrieved 2013-08-18. 
  4. ^ Chris Murphy (2012-12-07). "Silicon Valley Needs To Get Out More - Global Cio - Executive". Retrieved 2013-08-18. 
  5. ^ Jon Bruner (2012-10-29). "Listening for tired machinery - O'Reilly Radar". Retrieved 2013-08-18. 

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