The last steps in the textile chain
is finishing. Mr. Heinrichs, what will Monforts present at ITMA?
Heinrichs: Thanks to a support app for communication and an
app for operating Monforts systems, Monforts machines now
feature a “digital twin” that will be presented to the textile
industry for the first time ever at ITMA in Barcelona. With the
help of advanced sensor technology, all technical data are
mapped in the cloud virtually and in real time. The data in the
cloud indicate the current state of the system with its
respective specifications and can map the entire production
process, enabling targeted analysis and controlled planning and
production: Insights harnessed from data analyses can be used to
optimise the actual production process.
Klaus Heinrichs, Vice President,
What is new about your solution /
Heinrichs: The status overview in real-time improves machine
availability while minimising downtime considerably. Potential
sources of error can be anticipated and eliminated. The digital
twin provides information on individual wear parts of a system,
such as converters or gears, for example. In the future
operators will be able to see how long a wearing part will last
and when it has to be maintained or replaced ahead of time.
Direct access to the integrated Monforts webshop allows users to
order wearing and spare parts at the press of the button when
they are needed, virtually preventing machine downtime. On
request, Monforts can monitor machine availability and
proactively approach customers if action is required. Data is
only ever called from the cloud provided customers have agreed,
requiring their consent in the interest of data security.
What advantages does this offer for
Heinrichs: With the support app, the customer can contact
Monforts service virtually 24 hours a day or at an arranged time
via smartphone or tablet. Support is given right on site via a
video connection. The Monforts service specialist can point out
individual system parts on the customer’s smartphone using a
mouse cursor and assist users in troubleshooting or operating
the machine on site. Documents, such as machine documentation,
can also be shown in real-time on the smartphone. Data can be
used to analyse a system’s energy requirements. For example,
machine operation can be optimised for production to go into
full operation when electricity costs are at their lowest.