NORDIC SUPPLIERS
through the drive’s heatsink, and then exhausted
back out of the substation using simple ducting
and without affecting the substation
pressurisation.
The back-channel cooling in the Danfoss AC
drives has significantly lowered the heat load in
the Kolomela mine’s substation, and reduced
power consumption by 80 kW. This has enabled
installation of a smaller, lower-cost air-
conditioning system which has reduced power
consumption and operating costs.
In a mine substation, use of Danfoss AC drives
with back-channel cooling typically provides
annual energy operating cost savings that are
equivalent to approximately 8–10% of the total
purchase cost of all the drives.
Taking advantage of back-channel cooling
requires installation of extra ducting (and
sometimes filters), but this is more cost effective
than using drives without back-channel cooling.
With a more traditional drive solution, there is a
significantly higher heat load from the drives
which accumulates in the substation, requiring
purchase of a larger, more expensive air-
conditioning system – and a larger power bill.
In addition to the AC drives controlling the
dewatering pumps, there are many other drives
on site at the Kolomela mine. Danfoss drive
solutions are available for all mining applications
– dealing with the challenges, while saving costs.
Today’s industry is also marked by a steady
buzz about connectivity and the Internet of
Things, frequently summarised as Industry 4.0.
New solutions appear all the time, offering a
seemingly endless range of technical
possibilities. However, it’s not as simple as that
to find examples of how these are being
implemented.
Bosch Rexroth states: “For many businesses,
the greatest potential in Industry 4.0 lies in
condition monitoring. Yet even here, customers
have generally been slow to act. As with any
data-driven service, condition monitoring is only
attractive if it offers both security and value. But
the real value is created when condition
monitoring becomes predictive maintenance. In
simple condition monitoring, sensors are used to
watch over equipment and alert the owner to any
changes in operating parameters, such as RPMs,
temperature and pressure. A solution can be
created with relatively few sensors and a minimal
amount of standalone hardware, at a cost far less
than that of a production stop.”
The information the sensors provide, however,
can be used for much more than alerts. Analysed
properly, it can help determine when a machine
is at risk of breaking down – so that corrective
maintenance can be planned in advance.
Predictive maintenance has many advantages:
reduced need for on-site spare parts, fewer
demands on service personnel, lower energy
consumption and far more reliable production.
So why aren’t we seeing more of it?
For many customers, the main obstacle on the
path to these benefits is the security of the data
and the way in which it will be used. Customers
worry that sensitive information might be lost or
find its way inadvertently into the wrong hands.
These are valid concerns that should be taken
seriously. Naturally, the data’s use should be
regulated in a non-disclosure agreement, signed
between customer and supplier. But the supplier
must also take responsibility for having sufficient
technical safeguards in place – and be able to
explain exactly how those safeguards protect the
customer.
Even so, it is important to remember that the
situation is generally similar to a manufacturer or
workshop accessing a car’s stored driving data. If
no data is shared, the possibilities for service –
and the potential benefits for the owner – are
more limited.
“While security issues can be solved by
suppliers who take the responsibility, it is more
complex to actually bring value to the customer.
Sensors are inexpensive and simple to install.
But the difficulty lies in turning the gathered data
into useful information. In itself, condition
monitoring does little more than supply
customers with data, which is often difficult to
interpret. This is not a solution, but rather an
additional headache. For customers to get the
reliability and predictability they seek, the data
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