Efficient Plant Jan./Feb. 2024 - 8
feature | data management
Eliminate
Data Access
Uncertainty
Kit Thompson & Jan Edler
Emerson
Data collection and
analytics projects work
best when you follow
proven, traditional
automation concepts.
ONE OF THE best ways for manufacturers
to move beyond a simplistic and superfi cial
view of production is to obtain highintegrity
data from the factory fl oor and
then analyze and visualize it to obtain
data-driven operational insights. Eff ectively
gathering and assimilating data from
a variety of assets, from diff erent sources
and vintages of automation technology, has
typically been a challenge.
Simply throwing technology at the
situation is not the answer. Instead, manufacturers
need to defi ne their goals and
8 | EFFICIENTPLANTMAG.COM
choose a platform that will lead to rapid
and sustained success. Specifi cally, they
should streamline ways to rapidly connect
fi eld-sourced data and turn it into useful
information.
OBJECTIVES AND SCOPE
For production lines, and the assets that
support them, designers are already familiar
with creating functional specifi cations
defi ning just how the automation needs
to work. Th ey may be less familiar with
how to defi ne objectives and scope around
data-based, digital-transformation projects.
Th e steps are largely the same.
Building a digital database is a foundational
requirement for any data project.
As fi eld devices and other equipment gain
intelligence and become IIoT networkable,
vast amounts of data are becoming available.
While initial project objectives may
not include using this data for direct
closed-loop control of equipment functions,
they can incorporate items such as:
improving visibility and establishing a
knowledge base that is accessible across
JAN/FEB 2024
http://www.EFFICIENTPLANTMAG.COM
Efficient Plant Jan./Feb. 2024
Table of Contents for the Digital Edition of Efficient Plant Jan./Feb. 2024
Efficient Plant Jan./Feb. 2024 - Cover1
Efficient Plant Jan./Feb. 2024 - Cover2
Efficient Plant Jan./Feb. 2024 - 1
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Efficient Plant Jan./Feb. 2024 - Cover3
Efficient Plant Jan./Feb. 2024 - Cover4
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