GHM edia
B usiness
ARTICLE
weidmuller
The factory of the future will be able to control itself through
intelligent networking and will have the flexibility to adapt to
new requirements. Thanks to u-mation, this vision is a reality.
The perfectly coordinated u-mation portfolio paves your
way towards the IoT (Internet of Things) and beyond. The
combination of modular automation hardware, innovative
engineering tools and sophisticated digitalisation solutions
allows for the intelligent connection of all process levels
-from the sensor to the cloud. The Machine Learning models
provide the future-proof foundations for more efficient
production concepts.
Four pillars
Automation:
Powerful and easy-to-use hardware is the basis of each
automation solution. Our flexible controller u-control,
modular I/O system u-remote and intuitive multi-touch
panels u-view form the core of the u-mation hardware
portfolio. These components offer you maximum flexibility to
create individual solutions for your needs.
Products include: u-control 2000, u-remote, and u-view
Engineering Landscape:
Our engineering tools breathe life into your applications.
With web-based software you gain location-independent
access to your machines, while IoT technology enables your
communication to the cloud. Implement complex control
tasks using software based on your familiar engineering
environment. Whatever the task, Weidmüller offers the ideal
software for your needs, with the flexibility to expand in line
with your application requirements.
19 | january-february 2019 |
Products include: u-create studio, u-create web, u-create IoT
and u-create visu
Digitalisation:
We offer new ways of optimising production and service
performance by using intelligent networking automation and
digitalisation technologies from the sensor to the cloud. For
example, our web-based software services enable you to
access your machines from any location and device, helping
you manage your goals at any time.
Products include: u-control 2000, and u-create IoT
Machine Learning:
Knowing about possible issues before an error occurs is
important to keep processes running smoothly. Our analytics
modules learn from your machine and production data and
can indicate when abnormal activity is observed by the
system. With this information, you can plan your maintenance
activities in a targeted manner and effectively minimise the
need for any downtime.
https://www.weidmuller.com
Global MDA Journal
Global
MDA
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