INTERNET OF THINGS_proof 26/10/2016 10:53 Page 10
INTERNET OF THINGS
Moving up the data utilisation value
curve
While the Internet of Things and Big Data are
popular concepts and receiving a lot of industry
attention, Dingo argues that most mining
companies aren’t equipped to handle the
advanced data capture, analysis and decisionmaking that are required to capitalise on this Big
Data. “We have seen very few mining
organisations, including the biggest ones, with
the systems and/or processes in place to
manage and extract the value from the
mountains of data being generated.” According
to a McKinsey report, see www.mckinsey.com/
industries/metals-and-mining/our-insights/howdigital-innovation-can-improve-miningproductivity most miners use less than 1% of the
data collected from their equipment. “Yet, in this
same report, McKinsey highlights the incredible
upside - an estimated $100 billion of economic
impact in 2025 - of tapping into this latent data
to optimise equipment maintenance in these
areas alone: improve anticipation of failures;
reduce unscheduled breakdowns; and extend
equipment life.”
Based on decades of experience working with
maintenance departments, Dingo’s point of view
is that there is only value in data when it is
applied with the end result in mind. All data
should be put through the filter of "Will this
information help improve maintenance outcomes
Dingo’s Field Inspection App brings inspection
data directly into Trakka for instant expert
analysis
and the health of the asset? If it doesn’t check
these boxes, it's simply creating noise in the
system.”
The company adds: “This is where technology
applications such as predictive analytics and data
management come into the picture. Used wisely,
with the desired outcome in mind, these tools
can process and analyse enormous volumes of
data, leading to actionable insights that help
miners make faster, better maintenance
decisions and keep equipment performing at its
best. While technology is an important part of
the solution, the whole maintenance system,
including people and processes, must be set up
correctly to capitalise on these insights.”
According to Dingo, that's a big opportunity area
for many mining operations.
On a recent trade mission to Latin America,
Dingo CEO, Paul Higgins, found that miners were
generating volumes of data, but were struggling
to produce practical insights that improved
maintenance decisions. Higgins believes the
issue stems from technology systems that can't
handle the wide variety of data sources, along
with technology providers’ lack of maintenance
expertise. “If you’ve never worked in mining
maintenance, it's difficult to know how to apply
the technology in a practical way.”
The Trakka condition management system was
designed by mining engineers for maintenance
operations, and utilises all of a mine’s condition
data to improve decision-making. Plus, Dingo’s
system is supported by a team of Condition
Intelligence experts who have over 800 years of
combined mining maintenance experience.
The maintenance manager of a large North
American coal mine said the Trakka software
developed by Dingo had major cost advantages
for the operation. “Trakka allows our team to run
a highly effective condition-based maintenance
THE INSIGHT
TO DO MORE.
Advance your maintenance department today and build a successful strategy for tomorrow.
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