Control Performance Analytics (CPA) by Siemens - Efficient Plant Optimization Using Automated Control Loop Analysis

Control Performance Analytics

As industrial process applications grow in complexity, production management goals for process safety, flexibility, and product quality become ever-more ambitious. More transparency is needed to detect the potential for optimization and process fine-tuning.

In process industries, control performance is vital for reaching production targets. The single control loop is the initial core for each process application. Studies show that about half of all control loops are not well-tuned, whether due to non-optimum parameters, manual operation, oscillating controlled systems, or mechanical issues with the control valves.

In addition, process engineers in large-scale process plants are typically in charge of hundreds of control loops. Evaluating control performance across various process states in correlation with alarms requires a lot of time and expertise. Detecting possible areas for optimization and tuning control loops is not a one-time job due to continual process changes and wear and tear on equipment.

CPA is a cloud-based managed service that enhances process data transparency and control loop optimization. Collection and analysis of plant-wide information give the customer complete control over data. Identification of control loop states comes from automatic KPI (key performance indicators) calculation, capable of identifying setpoint tracking, steady-state problems, and even static or sliding friction in-process valves. The application also allows automated analysis of new parameter sets to test the control loops without impeding plant operations.


For more information, contact Ives Equipment. Call 610-768-1600 or visit