Maintenance Technology April 2016 - (Page 44)
INDUSTRIAL INTERNET OF THINGS
IIoT Maturation Coming?
F
ebruary's inaugural "Industrial Internet of
Things" (IIoT) column (Maintenance Technology, p. 29), discussed how the massive move
to more sensors and analytics in manufacturing
isn't just a passing fad: It's transformative. How do
companies implement a data strategy with current
Grant Gerke
production systems in place?
Contributing Editor
Each company needs a starting point in the IIoT
journey, but a fully realized data strategy is hard to
wrap your arms around today-and was even harder
in 2012. That's when Southern Company, Atlanta,
an energy producer and transmission line supplier,
decided to tackle the problem. The company is a large
energy player in the deep-South region, with 27,000
miles of transmission lines that run through Georgia,
Florida, Alabama, and Mississippi, in addition to
operating several natural-gas and generation assets.
In a recent manufacturing webinar,
Elizabeth Bray, principal engineer
at Southern Company, discussed
some newly enacted pilot projects
involving the corporation's transmisThe eDNA trend tool and PRiSM
sion businesses and the move toward
modeling allowed Southern's
condition-based monitoring for its
centralized monitoring teams to
transformers at more than 3,700
identify a rate-of-change alert
substations.
and allow maintenance to be
Before the recent pilot, Southern
performed before a peak period
Company began to add sensors and
could cause downtime.
monitoring capabilities to make a
future business case for a centralized
program. Southern Company uses the eDNA data
historian and PRiSM modeling from Schneider Electric for its transformers. These tools allow operations
and maintenance teams to organize data into easy-toread charts on monitoring screens and identify rates
of changes or current deviations for its assets.
One example of success in the recent pilot program
alerted a maintenance engineer to capacitor issues
with a particular transformer. The eDNA trend tool
and PRiSM modeling allowed centralized monitoring
teams to identify a rate-of-change alert and allow
maintenance to be performed before a peak period
could cause downtime.
This is a great example of software and platform
analytic delivering on a large sensing development.
The Internet of Things is changing the maintenance
and reliability world. Keep up to date with our
ongoing coverage of this exciting use of data and
technology at maintenancetechnology.com/iot.
44 |
MAINTENANCE TECHNOLOGY
In Maintenance Technology's "Final Thought" column
(Sept. 2015, p. 48), guest columnist Rene G. Gonzalez
noted that this type of trend is quite pervasive in the
energy industry. As an example, he cited a typical
refinery as increasing its number of sensors from
20,000 five years ago, to 100,000 today.
Some industry observers, such as Joe Barkai,
former VP of Research at IDC, Framingham, MA, are
pushing for standardization of instrumentation and
devices to reduce costs for manufacturers. According
to Barkai, "There aren't enough standards for the
industrial IoT space, and the robust use of standards
is critical to accelerate innovation and scalable IoT
ecosystems."
While Barkai is right, most enterprises need solutions now to visualize trapped machine and system
data for maintenance teams. With the increasing
number of mergers and acquisitions added to the mix,
large manufacturers are now assimilating disparate
platforms and control architectures to the current
plant-production systems.
John Rinaldi, president of Real Time Automation, Pewaukee, WI, spells out specific problems for
manufacturers using older controllers in a recent
article, titled, "Mining Manufacturing Data | Leveraging Trapped Data for Results" (automation.com,
Aug. 21 2015). "Many controllers," he wrote, "do not
have the software and hardware to communicate data
to asset-management and information systems using
current computing methods."
Beside the exceptional computing power of
the cloud, industrial networking is another huge
component of IIoT. Rinaldi pointed to the advantages
of intelligent network gateways, which can "extract
information residing in PLCs and communicate data
to maintenance-management or asset-management
systems." This allows disparate networks or systems to
communicate and even perform math functions on
process data and send email alarms to maintenance
technicians on changes-of-states.
Operations and maintenance now can measure
machine cycles, runtime, and other data to perform
predictive maintenance without disrupting control
architectures and plant performance. Also, a minimal
capital investment solution holds water with management. MT
Grant Gerke is a business writer and content
marketer in the manufacturing, power, and
renewable-energy space. He has 15 years of experience covering the industrial and field-automation
industries.
APRIL 2016
http://www.automation.com
http://www.maintenancetechnology.com/iot
Table of Contents for the Digital Edition of Maintenance Technology April 2016
My Take
Uptime
On The Floor
Culture Changed At This Indiana Refinery
She Ignores The Glass Ceiling
Loadability Studies Aid PRC-025-1 Compliance
Look System-Wide For Cost Savings
Reliable Pumping Supplement
Fund Lubrication Program With Energy Savings
Emergency-Stop Choices
Cyber Security
Backup Generators
Infrared Safety Tips
Internet Of Things
ISO 55000
Motor-Testing Tools Expand Services
Products
Showcase
Ad Index
Final Thought
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