Sensors
3 minute read
We start with the Internet of Things IoT giving examples like monitors of machine operation, QR codes, surveillance cameras, scientific sensors, drones and self driving cars and more generally transportation systems. We give examples of robots and drones. We introduce the Industrial Internet of Things IIoT and summarize surveys and expectations Industry wide. We give examples from General Electric. Sensor clouds control the many small distributed devices of IoT and IIoT. More detail is given for radar data gathered by sensors; ubiquitous or smart cities and homes including U-Korea; and finally the smart electric grid.
Sensor I(31)Internet of Things
There are predicted to be 24-50 Billion devices on the Internet by 2020; these are typically some sort of sensor defined as any source or sink of time series data. Sensors include smartphones, webcams, monitors of machine operation, barcodes, surveillance cameras, scientific sensors (especially in earth and environmental science), drones and self driving cars and more generally transportation systems. The lesson gives many examples of distributed sensors, which form a Grid that is controlled by a cloud.
Robotics and IoT
Examples of Robots and Drones.
Robotics and IoT Expectations (8:05)
Industrial Internet of Things
We summarize surveys and expectations Industry wide.
Industrial Internet of Things (24:02)
Sensor Clouds
We describe the architecture of a Sensor Cloud control environment and gives example of interface to an older version of it. The performance of system is measured in terms of processing latency as a function of number of involved sensors with each delivering data at 1.8 Mbps rate.
Earth/Environment/Polar Science data gathered by Sensors
This lesson gives examples of some sensors in the Earth/Environment/Polar Science field. It starts with material from the CReSIS polar remote sensing project and then looks at the NSF Ocean Observing Initiative and NASA’s MODIS or Moderate Resolution Imaging Spectroradiometer instrument on a satellite.
Earth/Environment/Polar Science data gathered by Sensors
(4:58)
Ubiquitous/Smart Cities
For Ubiquitous/Smart cities we give two examples: Iniquitous Korea and smart electrical grids.
Ubiquitous/Smart Cities (1:44)
U-Korea (U=Ubiquitous)
Korea has an interesting positioning where it is first worldwide in broadband access per capita, e-government, scientific literacy and total working hours. However it is far down in measures like quality of life and GDP. U-Korea aims to improve the latter by Pervasive computing, everywhere, anytime i.e. by spreading sensors everywhere. The example of a ‘High-Tech Utopia’ New Songdo is given.
Smart Grid
The electrical Smart Grid aims to enhance USA’s aging electrical infrastructure by pervasive deployment of sensors and the integration of their measurement in a cloud or equivalent server infrastructure. A variety of new instruments include smart meters, power monitors, and measures of solar irradiance, wind speed, and temperature. One goal is autonomous local power units where good use is made of waste heat.
Resources
\TODO{These resources have not all been checked to see if they still exist this is currently in progress}
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http://www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Industrial-Internet-Changing-Competitive-Landscape-Industries.pdf [@www-accenture-insight-industrial]
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http://www.gesoftware.com/ge-predictivity-infographic [@www-predix-ge-Industrial]
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http://www.getransportation.com/railconnect360/rail-landscape [@www-getransportation-digital]
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http://www.gesoftware.com/sites/default/files/GE-Software-Modernizing-Machine-to-Machine-Interactions.pdf [@www-ge-digital-software]
These resources do not exsit:
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https://www.gesoftware.com/sites/default/files/the-industrial-internet/index.html