 
FeedForward 
was commissioned to help a client transform a time-intensive manual data entry 
procedure into an efficient automated process.  Furthermore, the real-time and 
historical data needed to be accessed by engineers and management for 
environmental monitoring purposes.  To help out, FeedForward approached Matrikon 
to provide the connectivity required to make the project successful.
 Jim 
Urban, an applications engineer with FeedForward, was the project engineer 
responsible for the design, configuration, programming, and implementation of 
this particular project.  The project revolved around being able to move data 
from a Fisher-Rosemount DCS to
Intellution's iHistorian.  Ultimately, engineers and managers wanted to be 
able to view real-time and historical data on their desktop and import that data 
easily into Excel.  Their biggest challenge was the connectivity issue.  This is 
where Matrikon stepped up to the plate to offer the answer.
Matrikon's OPC server for Fisher-Rosemount RS3 RNI provided the interface 
required to connect a Fisher-Rosemount DCS with Intellution's iHistorian.
Jim 
Urban, an applications engineer with FeedForward, was the project engineer 
responsible for the design, configuration, programming, and implementation of 
this particular project.  The project revolved around being able to move data 
from a Fisher-Rosemount DCS to
Intellution's iHistorian.  Ultimately, engineers and managers wanted to be 
able to view real-time and historical data on their desktop and import that data 
easily into Excel.  Their biggest challenge was the connectivity issue.  This is 
where Matrikon stepped up to the plate to offer the answer.
Matrikon's OPC server for Fisher-Rosemount RS3 RNI provided the interface 
required to connect a Fisher-Rosemount DCS with Intellution's iHistorian.
The project was deemed to be very successful.  FeedForward 
was able to provide environmental monitoring of real-time and historical data 
via the web to managers and engineers.  What was once an inflexible system has 
become an efficient tool for analyzing and optimizing processes.
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