Process Monitoring
As companies collect more and more data in a variety of
different systems and databases, there is the ever increasing risk of data
overload for the users - remember the phrase "Data Rich - Information Poor"
IPMS provides a simple and cost effective means to use this data
to calculate process cost and performance information and to present this on
the web via a range of pre-configured graphs, reports and dashboards.
Users throughout your organisation can now spend time
monitoring up to date process information helping them to identify and
implement process improvements - rather than spending time entering and
manipulating raw data in spreadsheets.
IPMS can be totally configured via the web site and provides
a number of algorithms to automatically handle any type of numeric data
regardless of the time base - i.e. IPMS can use data collected from SCADA
systems or data loggers with multiple readings per day as well as data entered
on a daily, weekly or even monthly basis.
The powerful calculation engine within IPMS allows you to set
up complex calculations that can be applied on a historical basis (perform
calculations on data over the last day, week, month, year or any time interval)
or on a Real Time basis (calculations undertaken as data is received) as well
as applying the relevant costs, conversions, high/low exceptions and targets.
With a Pay as you Go business model, IPMS brings Process Monitoring within the grasp of any company, regardless of the amount of information they wish to derive. Users pay a monthly charge based on the number of parameters set up in the database - there is NO cost of buying software.
Examples where of Processes
where IPMS is already in use include:
-
Monitoring key process information on
anaerobic wastewater reactors at breweries and paper mills around
Europe.
-
Monitoring Energy and Chemical use and costs
at 50 municipal wastewater treatment plant.
-
Monitoring the performance of anaerobic
raectors removing sulphur from production wellheads in the oil
industry
-
Real Time monitoring of the perforamnce of
sand filters at a water treatment works
|
