Dairy Processing - July/Aug 2024 - 12

The global
AI in manufacturing
market was valued at
$3.2 billion in 2023
and is poised to grow
to $20.8 billion
by 2028.
The World Economic
Forum
" When we talk about monitoring
equipment and fixing things before
they break, it obviously helps you
become more efficient, " he said.
" But also what happens is if you have a
production line go down, you might waste
half a tank, and you're losing profit and adding
to food waste, so it makes a big difference.
Amalthea has seen that firsthand. "
In the dairy production process, many
quality parameters are captured by manual
operator sampling and transported to quality
laboratories that provide results which are
available periodically for plant operators.
" AI leverages a history of laboratory qualities
from moisture, composition, color, solids,
texture and viscosity to map models from realtime
available temperature, pressures and flows,
among other useful measurements, to provide
a real-time predictive virtual application, " Tay
said. " This supports real-time, closed loop
quality control of previously intermittently
available operator feedback or, at least, realtime
predictive feedback. Off-specification
production is reduced to negligible levels,
and give-away is reduced by faster, immediate
feedback designed to learn and adapt to
equipment-produced quality. "
MAKING A DIFFERENCE
Rockwell has a lengthy history of success
using AI in the dairy industry, which includes
12 JUL-AUG 2024 | DAIRYPROCESSING.COM
everything from improving raw milk
processing, processing powdered or
finished dairy products from milk,
butter and cheeses, and derived
products, including yogurt.
" AI is predominantly focused on
no- to low-code solutions, targeting
support for our regular OT clients
and driving value in easier to apply
packages, from our Virtual Online
Analyzer applications to broader
Soft Sensor solutions, " Tay said. " We
also have our intelligent device-based
AutoML predictive maintenance solution
through more advanced and directed
measurement-based predictive maintenance
applications, and model-predictive control
that's been driving dairy performance broadly
across the industry since 1996, through new
applications just released. "
The company's vision- or camera-based
AI is one of its newer technologies in an area
where high value, expectations and strong
needs for simpler usability drives value and
customer interest.
" Rockwell is focused on adaptive, easy to
implement and maintain applications, including
an intelligent device monitoring leveraging
RA drives and known anomalies where the
equipment drive is leveraged as moving or
rotating equipment sensor, " Tay said. " RA maps
its fit for purpose AI to intelligent modern
drives, and [is capable of providing] pre-mapped
failure alerts in hours. "
This also provides a simple to label, local
or unique alert instance, so technicians can
investigate an unidentified, new problem, make
repairs and label alerted patterns for the next time.
Beyond maintenance, AI's role extends to
optimizing plant level operations. For instance,
AI algorithms are used to link farm level
data with product yields, which is crucial in
managing the variables that influence cheese
production efficiency and quality.
" AI technologies are also extensively used
in monitoring and ensuring the quality of dairy
products from milking to packaging, " Verma
said. " Particularly, AI models link milk quality
directly to the feeds and medications given
to the animals, ensuring that only the highest
Infor
http://www.DAIRYPROCESSING.COM
Dairy Processing - July/Aug 2024

Table of Contents for the Digital Edition of Dairy Processing - July/Aug 2024
