PI has different modules that allow for the input
of mini-analytic calculations based on certain attributes or time frames to create an operational “band,” he
said. If operations go outside
of that band — for example,
plus or minus 1 percent — for
more than three minutes in
a row, PI notifes managers
that an alarm-level event is
imminent. This feature gives
managers a visual on possible problems before they happen — a huge advancement in
What’s Next for Big Data?
Down the road, there are
all sorts of applications for
business analytics, according to ABS Group’s Matt Mowrer,
director of applied technology and data analytics.
“I think we’ll move beyond just looking at historical data to
predictive analytics and then on to prescriptive analytics,” he
said. “I really see that on the risk side, where I’m not just provid-
ing alarms to operators about anomalous conditions based on
multiple data feeds, but actually giving them the recommended
action to minimize the time it takes them to make the decision
and also hopefully eliminate bad decisions.”
Also down the road, he added, could be the development of
augmented reality for operations and maintenance workers,
where they are in the physical environment and they have access
to a virtual environment.
He said that, from a wearable technology perspective, such as
Google glass, operations and maintenance workers can access
maintenance procedures, and have an interface where they
interact with equipment to minimize time spent troubleshooting
or identifying tools and procedures.
“You’re seeing these things on the consumer side, and I
think there’s some natural industrial applications for them,”
said Mowrer. à
Dong Energy’s Gunfleet Sands offshore
wind farm, south-east of Clacton-on-Sea,
Essex, England. Credit: Steve Graby | Flickr.