Page 79 from: Recycling International May issue | 2022

TECHNOLOGY EXPERT
Use Steinert.view for real-time data
visualisation to create new value
Steinert.view is a flexible, and
reliable monitoring solution for
Steinert sensor-based sorting
machines. It gives users insight
into the availability and output
of individual machines, allowing
them to learn more about the
condition of their applications
or sorting facility. For the first
time ever, this detailed machine
data is accessible at any time
and from any location.
Designed as a mobile-first app, Steinert.view
provides users with a quick overview of the key
performance and output data on the move. At
the same time, complex process technologies
can also be visualised. Filter functions mean
that users never lose track of things and can
easily identify areas where problems are aris-
ing or potential lies untapped.
Steinert.view resulted from working in close
collaboration with customers and extensive
testing. Not only is it easy for novices to get to
grips with, it also offers added value for
advanced users. Backwards compatibility
means that the solution can be integrated into
existing systems and open interfaces provide
new opportunities. Steinert.view is available as
an app for all common screen sizes on the
Apple App Store and Google Play Store for all
new Steinert sensor sorting units. Upgrades
are available for machines constructed in 2018
and later.
MONITORING OUTPUT
Rapid access to a multitude of metrics helps
Steinert.view to structure a large number of
processes and to work more cost-effectively.
The unavoidable approach used to date of
walking through the entire facility can now be
replaced with precise interventions and efficient
deployment of staff. Problems can be proac-
tively countered by making changes to metrics
such as belt cover or compressed air consump-
tion. Before service staff even get to the
machine, they know what work they can expect
to be doing and can use mobile access to get
other staff started without delay. This cuts
downtimes and improves speed and mobility.
Steinert.view can also assist with improve-
ments to sorting performance. Changing the
grain size distribution can impact on the prod-
uct unit as can material distribution.
Comparing nominal and actual values in a
graph reveals where action needs to be taken
right away. The data can be used to visualise
the effectiveness of measures or produces
benchmarks of different shifts so that the user
can get close to a machine’s optimum operat-
ing point.
But the data collated not only provides insight
into Steinert machines themselves. For exam-
ple, changing the material composition can
allow conclusions to be drawn about the effi-
ciency of an upstream screen or the quality of
a batch. This produces operating transparency
across the entire system for improving operat-
ing output and optimisation of resources.
YOUR DATA IS IN SAFE HANDS
STEINERT.view is an IoT platform based on
international standards whose app visualises
performance data. The transmission of data is
always secured via TLS using the MQTT proto-
col and data-at-rest is 256-bit AES encrypted,
using Microsoft Azure as the cloud service pro-
vider. Steinert is therefore joining the exten-
sive list of Azure users who represent 95% of
the Fortune 500 companies.
As a partner, Microsoft has invested billions in
data security and has more certification than
any other cloud provider, making it the num-
ber one for data protection, so you can be
sure that sensitive customer data is only used
as anticipated. Designed as a pure monitoring
solution, Steinert.view provides no scope for
controlling the machine or system. So you can
rest assured that using the app will not affect
production or occupational safety on site.
CREATING NEW VALUE
Steinert.view provides a data-based perspec-
tive for sourcing resources from primary and
secondary raw materials. When combined with
its sensor-based sorting machines, Steinert
provides advanced technologies for searching
for, finding and sorting resources and thereby
new opportunities for overcoming a scarcity of
resources and for a circular economy.
79_steinert.indd 79 02-05-2022 15:46