Pulp Paper & Logistics
ANDRITZ 13
structured data from the control system and unstructured data from user interference and uncover correlations. Once the correlations are identified, control models can be derived and applied to stabilize or increase throughput and save resources. Developed side-by-side with mill staff, the OPP concept is based on analysing a large volume of production data by means of sensors and distributed control systems in a mill – data collection varies between 5,000 and 125,000 real-time process variables. This data is then statistically analysed by the OPP software to detect abnormalities or opportunities for improvement. By doing so, incidents such as
sheet breaks can be prevented by soft (online/web) break sensors, or consumption of energy or chemicals reduced. This helps the customer to improve plant performance and lower costs.
OPP for pulp and paper Customers are benefitting from the improvements OPP can offer: reducing process variability, debottlenecking, fast start-up, mill balance and production stability.
Examples include soft-sensor based projects (this means no additional hardware/equipment has to be installed), such as reducing maintenance shutdowns due to flow problems. Another solution to reduce
chemical usage and ensure product quality has been developed by analysing the pulp every 30 minutes, for example, along with the performance of brightness controllers. Here the output brightness is estimated
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Your point of contact for everything related to OPP at Andritz: Gerhard Schiefer, Head of the Electrical and Automation Department September/October 2016
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