Accelerating Performance with the Artificial Intelligence of Things
Digital twins are a virtual
representation of a physical asset or
device, frequently located in a
remote location. 5 IoT devices have
several sensors installed on them, as
well as sensors for the environment
around them. AIoT brings this sensor
data together to create a true real-
time digital twin. The digital twin
shows the device’s operating
condition, no matter where it’s
physically located to create a true
real-time digital twin. Deep learning
can be added to a digital twin for
more understanding. Image and
video analytics are used to capture
operating conditions that are missed
by regular sensors. And, recurrent
neural networks (RNN) add temporal
data analysis and pattern detection
in real-time data streams that are
prevalent in digital twins. With these
deep learning capabilities, digital
twins provide a new level of insight
for your remote devices. Research is
emerging
on
industrial
IoT
applications that will help augment
existing applications of digital twins.
With IoT, data is collected from
sensors on a device, on neighboring
devices, the environment around a
device, and whatever interacts with
the device. The speed is real time,
and connectivity allows us to span
distances instantly in many cases.
Advances in streaming analytics now
enable us to process this real-time
data using machine learning and
artificial intelligence.
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Drones can comprehend unknown
surroundings on the fly – even in
dark, obstructed environments
beyond the reach of internet or GPS
– to investigate hazardous areas such
as offshore operations and mines.
Enhanced with analytics, drones can
help transform essential but
expensive, inefficient processes –
such as vegetation management and
power line surveillance – so that
savings can be allocated to other
strategic
initiatives
like
grid
modernization.
Robotic platforms travel the aisles of
a warehouse, picking parts or goods
off the shelf and delivering them to
the right place, avoiding collisions
along the way. Collaborative robots
(“cobots”) work alongside humans to
do heavy lifting, stage materials for
assembly or complete repetitive
tasks and motions.
Shipping containers and tractor-
trailers can monitor conditions such
as temperature, humidity, exposure
to light, weight distribution, and CO2
and oxygen levels to maintain the
integrity of loads and speed delivery
and check-out.
Remote monitoring devices provide
at-home diagnostics, alert caregivers
when intervention is needed and
remind patients to take their
medications.
Cities can deploy connected sensors
into the physical infrastructure to
constantly monitor for energy
efficiency, air pollution, water use,
June 2019