The industrial internet is a term coined by General Electric 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.
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. Falling prices for computing power and networked sensors mean that similar techniques can be applied to small, common devices like machine tools.
- Cloud-based design and manufacturing
- Big data
- Industrial Ethernet
- Internet of Things
- Machine to machine
- Industrial control system
- Industry 4.0
- Intelligent Maintenance Systems
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- Mark Fell. "Roadmap for the Internet of Things - Its Impact, Architecture and Future Governance" Carré & Strauss, 2014.
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- Evans, Peter C. and Marco Annunziata. "Industrial Internet: Pushing the Boundaries of Minds and Machines" GE white paper, November 26, 2012.
- Bacidore, Mike. "Are your prepared to work in an autonomous plant?", PlantService, March 2013.
- "Industrial Internet 101 - A Beginner's Guide to the Next Industrial Revolution".
- "NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems"