che_october-2023 - 21

IOTA Software
FIGURE 5. IOTA Software developed VUE as a dynamic process visualization and
analytics platform, able to seamlessly integrate data from all aspects of a business
and empower users with intuitive self-service graphics and dashboarding
software's effectiveness, " he says.
" Next, perform data analysis using
the software to gain insights into
the selected process or parameter.
This may involve exploring patterns,
trends and correlations in the data.
Develop appropriate models, such
as statistical models or machine
learning algorithms to predict behavior
or optimize the process and then
follow a repeatable and scalable
suite of workflows. "
Following this, the results should be
validated by comparing them with the
actual plant data and performance.
Testing will
ensure the
accuracy
and reliability
of the models.
Once
the pilot project
is successful,
the
data analysis
software can
be implemented
in
the selected area of the plant. " But
monitor the project closely to assess
the impact of the software's recommendations
and optimizations, " he
says. " And then, as the data analysis
software proves its value in the pilot
project and selected area, expand its
use to other critical processes and
parameters in the plant. Gradually
integrate the software into various
areas of operation. "
Once it has been successfully
proven, adequate training and collaboration
should be fostered among
process engineers, data scientists
and operators to encourage knowledge
sharing and a deeper understanding
of insights generated by
the software. It is also essential to
continuously refine and improve the
data analysis models and encourage
feedback from plant personnel to
enhance performance and address
specific plant requirements.
Finally, as the software becomes integral
to the plant's operations, says
Holdaway, explore opportunities to
scale its use across the entire plant.
Integration with other plant systems,
such as process control systems, will
help streamline data flow and decision
making. Eventually users can develop
a long-term strategy for using
the software in the plant.
" By following a systematic approach,
chemical processing plants
can effectively start using data analysis
software, gradually expand its
use and derive maximum benefits
in process optimization, cost savings
and improved product quality, "
notes Holdaway.
n
Joy LePree
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