Plastics News - Show Daily - October 21, 2022 - 6

6 * Plastics News, October 21, 2022
SHOW DAILY
Cannon launches
proprietary IoT
maintenance system
Alberto Zarantonello, left, and Stefano Andreolli show OptiWise, an
Internet of Things predictive maintenance system.
Plastics News photo by Caroline Seidel
By James Snodgrass
Urethanes Technology International
Cannon Afros announced on
Oct. 19 the introduction of OptiWise,
an Internet of Things (IoT)
predictive maintenance system.
OptiWise is immediately available
for high-pressure mixing heads
and pumps for Cannon dosing
machines.
The
proprietary
technology
TECHNOLOGICAL
ATTITUDE
Our " customer oriented " philosophy guides us in offering high innovative
solutions able to optimize production processes and energy efficiency,
to reduce carbon footprint and treat recycled materials, ensuring
digital connection throughout the production chain.
From this perspective, Sustainability, Technology and Digitalisation are
the pillars that set us apart in the plastics processing industry.
www.moretto.com
Hall 11
Stand H56
Stand H66
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has been developed for the Italian
company - a division of Cannon
Group - in collaboration with the
company's Automata division.
Speaking on the fi rst day of
the K 2022 fair, Stefano Andreolli,
Cannon Afros sales manager for
automotive PU, said: " It's a project
that we launched fi ve years
ago. And it's a long-term project
in the sense that it will have several
steps. What we present today
is the fi rst achievement: a predictive
algorithm that is making
a forecast on the behavior of the
machine, before problems occur
on the two main mechanical parts
of the machine, which are the
pumps and mixing. "
Andreolli explained that the
system will reduce downtime by
keeping the machine working
when there is an abnormality that
doesn't critically affect the process:
" It is an active predictive
maintenance in the sense that the
operators are notifi ed when the
machine starts to behave in an
abnormal way, but in a way that
is still under the alarm [parameters].
So it is trained to optimize
defects and predict when a failure
will occur. So, for pumps and mixing
as the result is that you will
know how long they will last. "
Andreolli said the second step,
which the company hopes to implement
soon, goes beyond predicting
when a failure will occur:
" It will make the predictive maintenance
intelligent - in the sense
that the machine knows that
something is going wrong - and
it will automatically adapt the cycles
and the parameters in order
to extend the life of the mechanical
products.
" This is of course a huge benefi t
for customers because they will
not have unpredicted downtime of
the machinery and they can plan
the maintenance in the right time. "
The third step, Andreolli says,
is to add to the algorithm the capability
of monitoring the quality
of the product and automatically
adjusting the parameters of the
machine so that if there is any deviation
from the quality standard
set by the customer, the machine
will adjust itself. " Of course, to do
this, we need a lot of machines, a
lot of data, " said Andreolli.
Cannon Afros is a supplier of
dosing systems, mixing equipment
and processing technologies
for polyurethanes and multicomponent
resins.
http://www.moretto.com

Plastics News - Show Daily - October 21, 2022

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Plastics News - Show Daily - October 21, 2022 - CT1
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