PlantESP is the leading technology for PID Loop Monitoring and Optimization. Based on today's newest technologies, PlantESP offers the advanced tools you need to link to performance data, turn that data into actionable information, and do it quickly, simply and with the visibility - dimensions of analysis that you need to maximize the effectiveness of your process controls.
Started in 2007, PlantESP is the result of feedback from our largest customers with regard to their needs in process performance management. The product was completed in 2010 and Beta tested with 8 of Control Station's key customers. End user inputs directly influenced the ultimate delivery of features and benefits.
PlantESP runs on a computer at your facility, linking to your real-time and archived data, and interfaces to you, wherever you are, through a web browser. You have the ability to configure, maintain and monitor your system from any location, in your plant or beyond (with the proper security and access permissions). Intuitive metering and charting tools update to reflect current conditions and an innovative loop interactivity map simplifies root-cause analysis. Recommendations are automatically generated to support further analysis and the correction of under-performing PID controllers.
PlantESP alerts/notifies you to changes in your plant. Plant ESP generates Alerts automatically based on a schedule preferences and customizable metric conditions. PlantESP also offers automatically generated Reports, based on user-defined control loops and/or production units.
Link to your favorite data sources such as the OSI PI Historian, Microsoft SQL Databases, and other historians. PlantESP supports native interfaces and supports standards such as OPC HDA, OPC DA and ADO.NET for connectivity.
Performance Metrics are calculated for each PID Loop.
Average Absolute Error - Determine the deviation of a Process Variable (PV) relative to its Set Point (SP), thereby revealing shifts in performance over time.
Output Travel - Measure the movement of each control loop in terms of Full-Strokes/Day as an early warning of performance degradation.
Output Distribution - Detect whether valves have been either completely open or completely closed for extensive periods of time while operating in closed loop, thereby indicating issues related to a control loop's design.
Percent Time in Normal - Track the percent of time that a control loop is operated in "Normal" mode (e.g. Automatic, Manual, Cascaded, other) as opposed to other non-standard modes of operation.
Controller Speed - Identify control loops that are tuned either too aggressive or too conservative using a state-of-the-art performance metric.
Final Control Element Health - Establish the
presence of high "static friction" in valves which may either slow
or altogether prevent a valve from adjusting properly, highlighting
the need for maintenance and possible repacking of the valve.