IIC Journal of Innovation 6th Edition | Page 35

Outcomes, Insights, and Best Practices from IIC Testbeds: Intelligent Urban Water Supply Testbed
ensure data quality and completeness of the
data collection, and a framework to link
operational records and apply OT domain
knowledge in the analytic model-building
process. Very often, one can collect large
amount of data about the normal
operational states of the equipment.
However, equipment data containing
patterns associated with anomalies and
faults are equally, if not more, important and
these are harder to come by. Therefore, it is
important to start IIoT projects early and
have a systematic way to collect and manage
data so useful analytics models can be built.
On the other hand, it is impractical to expect
that analytics be perfect from the first day it
is deployed. Just like any other intelligent
systems, it will take time to evolve and it is a
process of continuing improvement.
Biggest Surprise
The biggest surprise was not on the
technology side, but on the business side: To
see so many potential customers willing to
sign up to be part of this IIoT initiative. That
experience is unique to this testbed because
usually there are challenges getting people
to adopt and experiment in the early phases
of major new technologies.
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