The complexity of industrial process applications is continually increasing. At the same time, the demands placed on production targets are increasing in terms of process reliability, flexibility, product quality, energy consumption and emissions. Professional handling of this situation requires additional transparency in order to identify potential and starting points for optimal adjustment of the process parameters. 
In the glass industry, the control quality is decisive for achieving production targets. The individual control loop is the original core of the production process, especially in the hot area of glass production. However, studies show that half of all control loops are not operated satisfactorily. This may be due to less than optimal parameters, controls in manual mode, oscillating behavior of the controlled systems or mechanical problems with the control valves. 
A measurement and control engineer in large plants is today responsible for hundreds of control loops. The evaluation of the control quality in the process steps, such as the mixture composition, melting, shaping or cooling, in connection with the associated alarms requires both time and a high degree of experience. Identifying improvement potential and optimizing control loops are not one-off tasks; changes in production processes and wear and tear mean that these challenges remains constant.

CPA is a cloud-based managed service that increases the transparency of process data and optimizes control loops. By collecting and analyzing information on the plant level, the customer gains full control over the data. The identification of the control loop states is based on an automatic KPI calculation (Key Performance Indicators), which enables detection of setpoint jumps, steady state problems and even static and sliding friction in control valves. CPA enables automatic calculation of new parameter sets to tune control loops without affecting plant operation.