Control Station announces Summer 2016 version of PlantESP CLPM platform | Automation.com

Control Station announces Summer 2016 version of PlantESP CLPM platform

Control Station announces Summer 2016 version of PlantESP CLPM platform

July 28, 2016 – Control Station announced general availability of the Summer 2016 release of its PlantESP control loop performance monitoring (CLPM) platform. The release further distinguishes PlantESP as a process industry solution for plant-wide PID controller diagnostics and optimization.

The latest release of PlantESP includes functional enhancements that simplify the identification of control loop performance issues and architectural improvements that speed PlantESP’s processing. Its analytical capabilities include both PriorityVue and TableVue. These tools provide assessments of loop performance within a unit operation. PriorityVue illustrates loop performance on the basis of individual PlantESP KPIs and it highlights areas of need. TableVue enables PlantESP users to assess loop performance across multiple KPIs.

The PlantESP KPI library has been expanded and refined. In particular, more thorough assessments of operator intervention have been simplified through the addition of the Set Point Changes metric. The metric calculates the number of changes performed on a daily basis, and it complements other KPIs that focus on a given control loop’s mode. Refinements to PlantESP’s analytical capabilities include linking of the solution’s advanced forensic utilities. Users can now toggle between PlantESP’s Power Spectrum and Cross-Correlation utilities, viewing both the frequency and lead-lag relationships between each of the PID loops selected.

Since its original release in 2010 PlantESP has been deployed on five continents. As a technology for optimizing a production facility’s regulatory control systems, PlantESP is enabling manufacturers from across the process industries to identify and resolve performance issues. Significant gains in performance from improved production quality and throughput to decreased energy consumption and unplanned downtime have been documented.
 

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