Surface World February 2019 SW_Feb_2019_LR | Page 71
Paint robots equipped
with sensors enable
the acquisition of large
amounts of data - an
important driver for
applications in the
Industrial Internet
of Things.
within tolerance and with Streaming
Analytics, he can create an analysis model
that automatically determines anomalies
such as air bubbles in the paint from the
characteristics of the signal curve. These
possible applications make the Streaming
Analytics solution a powerful tool, since the
software automates the plant operators’
process knowledge using online analyses.
have been using the EcoScreen Equipment
Analytics software since 2018. The additional
module Streaming Analytics based on
real-time data has been used for the first time
in a complete production line since the fourth
quarter of 2018. The Batch Analytics
module, which uses artificial intelligence, is
currently in the trial phase with a customer.
The EcoScreen Equipment Analytics software
was developed in Dürr’s Digital Factory.
In this competence center, founded in early
2018, around 100 software experts are
working on solutions for the digitisation
of production processes.
Email: [email protected]
Visit: www.durr.com
Integration of
machine learning
in the future
“In parallel with Streaming
Analytics, Dürr is developing
further modules for batch
analytics applications that work
on the basis of artificial neural
networks. The software learns
the optimal process condition
fully automatically and
registers every deviation.
This means that the software
will solve problems itself in
the future through machine
learning,” explains Dr.
Friedrich. “If the self-learning
modules detect trends,
problems in the equipment
can even be identified in
advance by specifying a
forecast of the event time.”
A number of car manufacturers
With the new Equipment
Analytics software,
the plant operator can
monitor the condition in
the painting cell.
twitter: @surfaceworldmag
FEBRUARY 2019
69