WSN monitoring provides continuous and near real-time
data acquisition and autonomous data acquisition (no supervision
is required); increased frequency of monitoring compared
with manual inspection; improved data accessibility, data management,
and data use compared with non-networked systems
as all data can be collected and processed centrally; the ability
to combine data from a wide variety of sensors; intelligent
analysis of data to “predict and prevent” events using intelligent
algorithms; the ability to turn data into information about the
status of important structures, infrastructure and machinery;
and, a global data view that allows trending information to
be determined where degradation is happening slowly over a
relatively long period of time.
WSN monitoring can be used to:
1) maintain process tolerances;
2) verify and protect machine, systems and process stability;
3) detect maintenance requirements;
4) minimize downtime;
5) prevent failures and save businesses money and time;
6) request maintenance based on the prediction of failure
rather than maintenance running to a standard schedule
or being requested following an actual failure.