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Sustain advanced control and preventable degradation
with benefits up to 25%: control teams can proactively
maintain the effectiveness of control loops, controllers
and models; adjust controls to new operating
conditions and process changes; and quickly address
critical instrument issues.
Increase safety: production facilities can minimise risks
by ensuring normal and stable operations, and also
eliminate production stops for safety system
verification.
Reduce maintenance costs up to 10%: operations teams
can take proactive measures to minimise equipment
damage and emergencies while optimising
maintenance based on real asset
conditions, thus improving reliability and
extending equipment life.
Conclusion
Organisations across the process industries
are seeking to improve their return on
large asset investments. Effectively
managing assets, however, requires a
wealth of information and analysis.
Industrial facilities need combined
production and maintenance strategies to
minimise unscheduled shutdowns and
optimise product quality while
cost effectively using the operations,
maintenance and engineering resources on
hand.
The true value of the IIoT can only be
fully realised with a holistic view of asset
management. Powerful virtual cloud networks will
continually collect, aggregate and model data for accurate
prediction of degradation and failures, and put
contingencies in place to limit their impact on system
availability. This approach is becoming fundamental to
improving process reliability and driving cost takeout by
delivering real-time, intelligent and actionable data to
connected systems and the end user. Although it may take
time for some companies to become an IIoT data-driven
organisation, this evolution is coming and they should
begin preparing for it.
Figure 4.
Many industrial organisations view the IIoT as key to reduced
downtime, lower operating costs, improved regulatory compliance, and
better overall product quality.
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