Only 50% of control loops in the process industry are well tuned and non optimized control loops lead to:

• Bad quality products, because the system can't reach or keep nominal process values
• Energy and material losses, due to undesired process variations, and unnecessary operator interferences
• Reduced equipment availability, due to high variability in actuators (valves, pumps, motors) to keep process set points.

If customers are aware, that they loose money with non optimized control loops, why don't they optimize?

• most customers don't have the needed resources to continuously monitor and analyze their control loops
• some customers don't have the necessary knowledge on site and the transparency to know where and what to optimize

CPA add a new layer of transparency to process data to support an efficient optimization process

Main building blocks:

• Plant Overview for overall transparency: e.g Long-term plant overview on control performance of all control loops

• Detailed Analytics to identify cause: Detailed information on control performance of each single loops

• Optimization (Quality/Process)

High level architecture:

• Cloud based service
• Data Source: DCS (Siemens / & 3rd party)

Preferred Customer Profile:

• Industry: Chemical, Pharma, Fiber, F&B, O&G, Cement etc.
• Production Type: Continuous processes preferred
• Job: Plant / Production Manager
• Installed base: Ideal PCS7 V7.1. SP2 or newer – because of less mobilization effort due to available data collector
• Supported function blocks: CTRL_PID (Standard); PIDConR (Reset); PIDConL; PIDConS (APL); CtrlPP (SiPaper V8 APL); CTRL_PP (SiPaper < V8); TE_CTRL (PTE400); PID_SC (SC Lib); PIDStepL)
• Sampling time > 1 sec.